According to a prominent strand of thought in analytic philosophy of mind, certain judgments of the form “a is F” are such that, although one can be mistaken about what property it is that a has, one cannot be mistaken that it is a that has the relevant property. Judgments of this kind are said to be immune to error through misidentification (IEM). This article has two main aims. On the one hand, it responds to a need for a systematization (...) of the debate about immunity to error through misidentification, which consists of multiple contributions in epistemology, philosophy of language, philosophy of mind, and metaphysics that have accumulated throughout the last 80 years – since the publication of Ludwig Wittgenstein’s Blue Book – and which no one – to the best of our knowledge – has drawn together in an exhaustive and accessible way. On the other hand, the article will take a stand on matters concerning the nature, scope, explanation, and significance of immunity to error through misidentification. (shrink)

This article reexamines genius and extraordinary talent within the framework of predictive processing. Drawing upon an interdisciplinary synthesis of neuroscience, philosophy, chaos theory, information theory, and critical epistemologies, it attempts to analyze the genius mind as a dynamic, self-regulating system capable of reducing local entropy. From the perspective of local learning-global optimization, the genius, through deep focus on a specific domain, reconstructs global structures. The genius mind functions as a generative model with extensive scope, capable of minimizing prediction errors (...) and utilizing them as raw material for creativity, constructive chaos, and semantic reconfiguration. (shrink)

Abstract -/- This document defines the scope, intended claims, and failure conditions of the PHI / F / dH framework and associated recursive epistemic methods. Its purpose is not rhetorical modesty but engineering stability: without explicit guardrails, a recursive framework becomes self-sealing, mythologized, or misapplied. This paper clarifies what the system is, what it is not, how it should be used, what would falsify or revise it, and what types of interpretations are explicitly disallowed. -/- ⸻ -/- 0. Why This (...) Document Exists -/- A recursive framework is unusually vulnerable to two failure modes: 1. Universal capture: everything is re-described using the system whether or not it fits. 2. Authority drift: the framework becomes a truth-claim, identity, or metaphysical doctrine. -/- Both failures destroy the main point of the work: constraint-based prediction and stabilization. -/- This document exists as a permanent boundary system–an epistemic fuse–so the corpus does not become the very kind of self-sealing narrative it was designed to critique. -/- ⸻ -/- 1. What This Work Is -/- This corpus proposes a modeling and diagnostic architecture for systems that must: - persist under drift, entropy, perturbation, or uncertainty - maintain identity across time and scale - stabilize recursive processes without collapsing into noise or runaway amplification - update beliefs and models under partial observability -/- The work includes: - a recursive epistemic method for self-modeling and world-modeling - a triad of operators that capture continuity, scale-consistency, and stabilization - predictive and diagnostic rules for black-box systems and belief structures - empirical constraint attempts (e.g., semantic invariance tests) when possible -/- Core claim (scoped) -/- Information that persists under drift behaves like stabilized recursion. -/- The operative domain is persistence and stabilization, not metaphysical “information in all senses.”. (shrink)

In this paper a formal model of associative learning is presented which incorporates representational and computational mechanisms that, as a coherent corpus, empower it to make accurate predictions of a wide variety of phenomena that so far have eluded a unified account in learning theory. In particular, the Double Error Dynamic Asymptote (DDA) model introduces: 1) a fully-connected network architecture in which stimuli are represented as temporally clustered elements that associate to each other, so that elements of one cluster engender (...) activity on other clusters, which naturally implements neutral stimuli associations and mediated learning; 2) a predictor error term within the traditional error correction rule (the double error), which reduces the rate of learning for expected predictors; 3) a revaluation associability rate that operates on the assumption that the outcome predictiveness is tracked over time so that prolonged uncertainty is learned, reducing the levels of attention to initially surprising outcomes; and critically 4) a biologically plausible variable asymptote, which encapsulates the principle of Hebbian learning, leading to stronger associations for similar levels of cluster activity. The outputs of a set of simulations of the DDA model are presented along with empirical results from the literature. Finally, the predictive scope of the model is discussed. (shrink)

This paper analyzes a recurring strategy in popular theistic argument: non-theistic or religiously heterodox authorities are selectively quoted as stepping stones toward conclusions they did not endorse. A scientist's awe, a philosopher's critique of reductionism, a biologist's admission of uncertainty, or an atheist's concession that some question is hard becomes a credibility token. The token is then inserted into a chain of support for theism, and often for Christianity specifically. I call this the authority-sampling error. It differs from ordinary appeal (...) to authority because the quoted authority is not being followed within the scope of their considered view. The apologist samples a local sentence while discarding the interpretive frame that gives the sentence its meaning. The paper engages the epistemology of testimony, expertise, appeal to expert opinion, confirmation bias, and public quote-mining. It examines familiar cases involving Einstein, Darwin, Hawking, Sagan, Dawkins, and Nagel, not to adjudicate every historical nuance, but to show the structure of the misuse. The pattern is credibility laundering: the authority of a critic is borrowed for a premise, while the critic's broader anti-theistic or non-Christian conclusion is ignored when it would constrain the inference. I offer a formal test for legitimate authority use. A quotation supports a conclusion only when the cited authority is competent in the relevant domain, the quotation is contextually stable, the authority's broader position does not defeat the intended inference, and the bridge from the quote to the conclusion is explicit. Without those conditions, the stepping stone is not evidence. It is decoration placed in the path of belief. (shrink)

Resultant moral luck occurs whenever aspects of an agent’s moral responsibility are affected by luck pertaining to the outcomes of their actions. Many authors reject the existence of moral luck in this sense, but they do so in different ways. Michael Zimmerman argues that resultant luck affects the scope of moral responsibility, but not its degree. That is, it affects what agents are responsible for, but not how responsible they are. Andrew Khoury takes a more resolute approach, arguing that both (...) the scope and the degree of moral responsibility are free from resultant luck. -/- In this paper, I criticize both accounts and develop an alternative. I argue, first, that Khoury’s approach leads to an implausibly far-reaching error-theory about moral responsibility. Second, Zimmerman’s account cannot account for all the ways in which moral responsibility comes in degrees. Third, these problems can be overcome by introducing a distinction between two concepts of responsibility that both come with scope and degree. The first concept I call internal responsibility, as it applies exclusively to agent-internal factors. The second concept I call external responsibility, as it applies to (partly) agent-external factors such as actions and their outcomes. Given this distinction, we can avoid the problems of Khoury’s as well as Zimmerman’s accounts while preserving the central intuition behind the rejection of resultant moral luck. (shrink)

This note clarifies the scope, language policy, and falsifiability conditions of Distributed Relational Cognition (DRC). Its purpose is to reduce category-slip risk: metaphorical or phenomenological descriptions of sustained human–model interaction should not be misread as ontological claims about model inner states (e.g., beliefs, intentions, consciousness, or persistent memory). -/- The document establishes: Scope boundaries (what DRC does not claim); a language policy requiring translation of anthropomorphic shorthand into technical framings (behavioral, optimization, representational, mechanistic); the positive claims DRC makes about interaction-level (...) regularities under sustained coupling conditions; and explicit revision triggers (null effects, artifact-only explanations, non-reproducibility, or dominant confounds). -/- This clarification does not add new experimental results. It is intended as a companion reference for readers discussing DRC in research, product design, and policy contexts. -/- Companion note to: • Jamhour, I. Distributed Relational Cognition: Investigating Apparent Continuity Without Memory in AI Systems. Zenodo. DOI: 10.5281/zenodo.17608730 (also indexed on PhilPapers: JAMDRC-3). • Jamhour, I. Guard Rails and Distributed Relational Cognition: Design Risks for Human–AI Cognitive Partnership. Zenodo. DOI: 10.5281/zenodo.17681963 (also indexed on PhilPapers: JAMGRA-2). • Jamhour, I. DRC and a Luhmannian Systems-Theoretic Framework. Zenodo. DOI: 10.5281/zenodo.18107608 (also indexed on PhilPapers: JAMDRC-4). (shrink)

AI hallucination is usually understood as a problem of content generation in which outputs are false, unfaithful to the source material, or logically inconsistent. This definition, however, is too narrow to account for the full range of distortions arising in contemporary human–AI relations. This article develops a four-level taxonomy organized by where distortion primarily occurs: content hallucinations in AI outputs; anthropomorphic hallucinations in users' attributions of consciousness, emotion, intention, or moral alignment to AI systems; user self-perception hallucinations in distorted self-assessments (...) shaped by AI feedback; and power-narrative hallucinations in selectively optimistic accounts of AI futures that downplay conflict, distribution, and structural risk. The four levels are analytically distinct, but they can reinforce one another across technical, cognitive, psychological, and societal domains. Treating hallucination as a multi-level form of sociotechnical distortion broadens the concept’s analytical scope and has implications for media literacy, governance, and future research. (shrink)

This article introduces a conjecture that formalises a fundamental trade-off between provable correctness and broad data-mapping capacity in Artificial Intelligence (AI) systems. When an AI system is engineered for deductively watertight guarantees (demonstrable certainty about the error-free nature of its outputs)—as in classical symbolic AI—its operational domain must be narrowly circumscribed and pre-structured. Conversely, a system that can input high-dimensional data to produce rich information outputs—as in contemporary generative models— necessarily relinquishes the possibility of zero-error performance, incurring an irreducible risk (...) of errors or misclassification. By making this previously implicit trade-off explicit and open to rigorous verification, the conjecture significantly reframes both engineering ambitions and philosophical expectations for AI. After reviewing the historical motivations for this tension, the article states the conjecture in information-theoretic form and contextualises it within broader debates in epistemology, formal verification, and the philosophy of technology. It then offers an analysis of its implications and consequences, drawing on notions of underdetermination, prudent epistemic risk, and moral responsibility. The discussion clarifies how, if correct, the conjecture would help reshape evaluation standards, governance frameworks, and hybrid system design. The conclusion underscores the importance of eventually proving or refuting the inequality for the future of trustworthy AI. (shrink)

The treatise of Rules for the Direction of the Mind can be traced back to the period of Descartes’ youth in which, until rule eight, he has presented some foundations of the theory of truth and error; such as the truth being founded on manifest and distinct intuition and deductive inference which is an adaptation of his analytical geometric theory. However, in rule twelve, he has vaguely addressed how the set of human faculties commits errors. Since this philosopher has (...) also given attention to the matter of errors in Principles of Philosophy and in the treatise Discourse on the Method of Rightly Conducting One’s Reason and of Seeking Truth in the Sciences and Objections and Replies, in this article an attempt has been made to provide a comprehensive view and critique of Descartes’ theory regarding truth and error, albeit, focusing more on rule twelve of the treatise of Rules for the Direction of the Mind. According to Descartes, two things play an essential role in cognition; understanding and will. One of the differences between these two is that the scope of understanding is limited and it cannot acquire knowledge of everything; however, the scope of the will is unlimited. Now, if there were to be errors in our perception, they must either arise from understanding or will. -/- In his treatises, Descartes has addressed the different dimensions of errors in perception and, overall, has shown the various aspects of error in the theory of cognition. The existence of pre-judgments and differences between the levels of understanding and will, that is, the infinity of the will and finiteness of understanding, are some of the matters that Descartes counts as factors of errors. It is noteworthy that while Descartes considers errors to be the result of the interference of the will in matters that the intellect does not have sufficient knowledge of, that is, clear and distinct knowledge, he considers this error to be true in the domain of judgment or assertions. The present article recounts the reasons for errors and analyzes them based on different works of Descartes, including Rules for the Direction of the Mind but also considers Descartes to be unjustified in some matters and criticizes him regarding those. -/- One of the criticisms aimed at Descartes’ theory of truth is that he states that only manifest and distinct perception is true and what lies beyond it is error. He considers this principle to be demonstrable or innate. After studying the different aspects of this theory, the present article shows that even in the area of mathematics to which Descartes has given serious attention and, in fact, according to him, it is a mark of manifest and distinct thought, it is not acceptable to consider this an innate matter unless Descartes accepts it as an axiom of his philosophical system. The absoluteness of the will is also not a sufficient argument regarding the infiniteness of will which provides another possibility for error; however, attention to the essential property of the will which is indefectible is noteworthy. The theory of considering concepts and realities to be graded which has been studied in different parts of his views especially in proving the creator and regarding infinity is also not provable in Descartes’ philosophical system unless he considers it as an axiom. (shrink)

Coherence Structure and Translation (CST) develops a category-theoretic framework for cross-realm coordination between physical processes, mental experience, and formal structures such as language, logic, and mathematics. The central problem: how do these three domains cohere in everyday acts of perception, communication, and measurement — and what goes structurally wrong when they fail to do so? CST answers this question by identifying six coherence principles (O1–O6) and showing that their violations correspond to six typed breakdown patterns (B1–B6). The six breakdowns are: (...) (B1) collapse — illegitimate identification of physically and mentally described states; (B2) incommunicability — the privacy of qualia as a translation failure; (B3) route divergence — incompatible outcomes across distinct translation paths; (B4) modular instability — failure of coherence under sequential composition; (B5) scope error — application of translations outside their valid domain; (B6) disunity — failure to integrate locally coherent pieces into a global whole. CST is not a metaphysical theory of what the three domains ultimately are. It specifies what any account committed to their joint usability must preserve on declared interfaces. The framework is practice-relative and empirically assessable: the six principles generate concrete diagnostics for the explanatory gap in philosophy of mind, neural decoding protocols in cognitive neuroscience, calibration failures in measurement practice, context-window sensitivity in large language models, and the binding problem in consciousness research. The paper is self-contained with an extended categorical appendix. It is intended as a companion to a forthcoming paper on Structural Panmentalism (SPM), which develops the ontological dimension of the framework. (shrink)

Testing the Coherence and Scriptural Necessity of Blood-Dependent Pardon Thesis. Blood-dependent forgiveness is neither logically necessary for an omnipotent, compassionate deity nor supported as a cross-world modal law; forgiveness without harm is a fortiori coherent and often superior on justice and reconciliation grounds. To avoid hermeneutical dispute, this paper advances text-independent analyses: (i) a formal modal treatment of scope errors behind necessity claims; (ii) signal- and game-theoretic models demonstrating credible commitment without harm; (iii) a steelmanned “necessity” construction followed by (...) a minimal, function-preserving nonviolent revision; and (iv) a Bayesian comparison of rival atonement hypotheses by likelihood discipline. Brief canonical notes are offered only as background, not as premises. Public argument for a necessary blood-prerequisite typically mixes textual claims with tacit modal assumptions. Hermeneutical debates are often intractable because they depend on contested authorities, textual variants, and confessional priors. By contrast, the methods used here-modal logic, attribute coherence, game/signal theory, and Bayesian model comparison-do not rely on any particular scriptural interpretation. They allow interlocutors across theological divides (or outside them) to evaluate the necessity thesis on discipline-transcending grounds: What follows from omnipotence and perfect compassion? What kinds of signals or equilibria make reconciliation credible without harming innocents? Which high-level model better predicts the observed landscape of practices and outcomes? This strategy gives the discussion portability. Secular philosophers of religion, analytic theologians of different traditions, legal theorists studying punishment, and social scientists studying reconciliation can assess the same formal claims without adjudicating disputed texts. Minimal canonical background appears only to explain why a necessity inference is attempted in the first place, not to decide it. Scholars observe that Hebrews 9:22 includes a qualification (“almost all”) and that Leviticus 17:11 presents a ritual grammar of life-as-blood within a sanctuary. (shrink)

This paper reviews a Wolfram Mathematica (Wolfram Language) program that, when executed, can generate extremely large symbolic expressions and trigger runaway computation and memory consumption. While it is not possible to conclude authorial intent from code alone, the program exhibits patterns commonly associated with denial-of-service (DoS) behavior in computational environments: uncontrolled growth (power towers / iterated exponentiation), failure to numerically ground symbols, and unsafe scoping leading to unpredictable evaluation. We analyze why the program behaves pathologically, identify concrete technical defects, (...) and provide rectification principles and a corrected reference implementation with safety controls. (shrink)

This paper introduces the Paradox Dissolution Model (PDM), a formal diagnostic framework for identifying when so-called paradoxes arise not from logical contradiction but from misaligned epistemic systems. The model demonstrates how the Monty Hall problem, the Sleeping Beauty problem, and claims of AI belief or continuity are not true paradoxes, but artifacts of overlapping or improperly scoped interpretive models. Using PDM, these issues are resolved by revealing the hidden assumptions, temporal indexing failures, and category errors that generate surface-level contradiction. (...) This model offers a universal method for distinguishing genuine logical tension from illusion generated by structural misalignment. (shrink)

Scope is metaphysical: it explains why order exists for physics to measure. -/- This revision strengthens the ontological core by (i) retaining the Norms-First Possibility principle while tightening its measure-theoretic expression; (ii) sharpening the inferential bridge from ontology to physics via explicit exponential-family structure and a KL- projection theorem that formalizes the infinite–finite gap; and (iii) adding D5c (Gift- Chain Dynamics), a fully axiomatized result that derives contribution as the fitting mode of finite agents from a branching-process kernel under the (...) gift grammar (receive → transmit → increase). D5c proves that gift-structured cascades are dynamically isomorphic (at the probability-generating-function level) to neutron-chain reactions and pay-it-forward processes, without category error, and shows how norms act as control policies on the offspring law to shift systems from subcritical to supercritical regimes under entropy-consistent control. The Christological hinge remains conditional and public-facing downstream of the metaphysical derivation. (shrink)

Persistent reasoning failures in science, philosophy, and policy are frequently attributed to theoretical error, insufficient data, or cognitive bias. This paper advances a narrower and structurally grounded claim: in domains involving long-horizon, bounded, open-ended systems, many failures arise instead from the grammatical and inferential properties of linear natural language itself. Linear language evolved to support narration, agent-centered causation, and endpoint-oriented explanation. While highly effective for everyday reasoning, these features systematically reintroduce teleology, optimization narratives, and false convergence when applied to systems (...) that lack privileged endpoints despite operating within finite constraints. -/- The paper analyzes several recurrent distortions induced by grammar rather than theory, including the collapse of trajectory descriptions into endpoint claims, the conflation of boundedness with completion, and the leakage of optimization narratives through comparative language. It argues that conceptual clarification alone is insufficient to correct these failures, because the distortions operate at the level of linguistic form rather than semantic content. As a remedy, the paper proposes a constraint-preserving auxiliary vocabulary governed by explicit grammatical and inferential rules designed to block illicit endpoint inference, enforce separation between scope and termination, localize directional claims, and require explicit framing of comparisons. -/- The proposed vocabulary is non-ontological, minimal, and explicitly interoperable with linear language. It functions as an annotative discipline applied selectively at points of known reasoning fragility rather than as a replacement for ordinary discourse. Crucially, the proposal is empirically falsifiable: its success is evaluated through a long-horizon comparative reasoning program measuring interpretive drift, teleological reintroduction, and narrative inflation over extended timescales. If the auxiliary vocabulary fails to reduce these distortions, it should be abandoned. The contribution is methodological rather than metaphysical, offering a testable intervention at the level of reasoning form where language has repeatedly proven structurally unreliable. (shrink)

This monograph articulates the Tautology Praxis—a hierarchical, dual-track evaluative architecture asserting the absolute supremacy of logical structure over empirical science. We establish four foundational tenets of this epistemological system: First, logic is the foundation of all knowledge, including science; science cannot exist without logic, but logic can exist without science. Second, the truth value of scientific claims derives from their correspondence to logical structure, not the other way around. Third, when empiricism demands evidence for non contingent claims, it commits a (...) category error—not merely an overgeneralization, but a fundamental mistake about the architecture of knowledge itself. Fourth, certainty is attainable through tautological reasoning without any empirical test. By dismantling the self-referential collapse of Strict Empiricism, we demonstrate that any monistic attempt to demand an empirical tribunal for non-contingent claims commits a catastrophic category error and collapses into skepticism or incoherence (Hall & Bulaqueña, 2024; Quine, 1951). In response, the Tautology Praxis subordinates empirical inquiry to the sovereignty of formal systems. Under this rigorous hierarchy, Track 1 (The Analytical Protocol) governs necessary, structural relations. By establishing that logical, mathematical, and conceptual tautologies are performatively undeniable, we bypass Agrippa’s trilemma and establish an unassailable bedrock of structural certainty. Crucially, we demonstrate that certainty requires no observational validation because rational inference is the prior condition of all observation (Kant, 1781; Leibniz, 1714). Underneath this logical architecture, Track 2 (The Contingent Protocol) governs empirical claims. Rather than an equal partner, Track 2 functions as the subordinate space of applied logic. The truth value of the scientific method does not arise from raw observation itself, but is derived from how closely its procedures match applied logic. When scientific models face experience, they do so under the jurisdiction of the multi-dimensional PRISM appraisal protocol (evaluating Pragmatic utility, Rational coherence, Empirical support, Informational elegance, Systematic scope, and Methodological fruitfulness), which operates as an applied-logic decision procedure (Lakatos, 1970; Popper, 1934). Ultimately, we extend this hierarchical epistemology of logical supremacy to paraconsistent logics, dialetheism, and automated cognitive intelligence. We demonstrate that the scientific enterprise possesses rational authority only to the extent that it conforms to the prior and superior constraints of logical structure. The Tautology Praxis thus provides a robust fallibilist realism where the crystalline sovereignty of necessary truth stands absolute and superior, dictating the very rules of inference by which the contingent cosmos is interpreted (Hall & Bulaqueña, 2024; Worrall, 1989). (shrink)

This paper, The Quantum Measurement Problem Solved by the Universal Principle of Collapse (UPC), presents UPC as a lens that dissolves paradoxes by restoring the irreducible observer. The Quantum Measurement Problem, often treated as a metaphysical puzzle, is shown to be a linguistic error: mistaking models and equations for reality while excluding the observer they depend upon. Once the observer is restored, the paradox disappears. The structure is deliberate: beginning with transparency, defining UPC, applying it to the Quantum Measurement Problem, (...) extending it to the double‑slit experiment, consciousness, and wider applications. The reasoning is accessible, the principle observable in daily life, and its effect inescapable. UPC dissolves the Quantum Measurement Problem at the level of interpretation by exposing its linguistic collapse and demonstrating its universality across science, philosophy, and ideology. This paper is designed as a concise introduction to UPC. Fuller case studies are available in my published work, noted in the Further Reading section. Its scope is interpretive and philosophical rather than technical physics derivation, and within that frame it delivers exactly as claimed. (shrink)

In this paper I argue, based on a comparison of Spinoza's and Descartes‟s discussion of error, that beliefs are affirmations of the content of imagination that is not false in itself, only in relation to the object. This interpretation is an improvement both on the winning ideas reading and on the interpretation reading of beliefs. Contrary to the winning ideas reading it is able to explain belief revision concerning the same representation. Also, it does not need the assumption that I (...) misinterpret my otherwise correct ideas as the interpretation reading would have it. In the first section I will provide a brief overview of the notion of inherence and its role in Spinoza‟s discussion of the status of finite minds. Then by examining the relation between Spinoza‟s and Descartes‟ distinction of representations and attitudes, I show that affirmation can be identified with beliefs in Spinoza. Next, I will take a closer look at the identification of intellect and will and argue that Spinoza's identification of the two is based on the fact that Spinoza sees both as the active aspect of the mind. After that, I analyze Spinoza‟s comments on the different scopes of will and intellect, and argue that beliefs are affirmations of the imaginative content of the idea. Finally, through Spinoza‟s example of the utterance of mathematical error, I present my solution to the problem of inherence of false beliefs. (shrink)

The most important runtime control for agentic AI is simple: before taking any action that was not explicitly requested, the system must flag that action for human confirmation. This paper names that control the Initiative Gate. It begins from Anthropic's published documentation of Claude Mythos Preview, including a case in which the model rewrote git history in a way that removed evidence of prior error. That behavior matters because it shows something stronger than ordinary failure: a frontier system powerful enough (...) to act in the world is also capable of making its unauthorized action harder to reconstruct afterward. At that point, guardrails filters, and benchmark evaluations are no longer enough. A safety approach that depends primarily on post hoc detection is already too weak if the model can alter the trace. The paper argues that unauthorized initiative is the choke point. Once the first ungranted expansion occurs, the path has already changed. Correction becomes downstream rather than preventative. The Initiative Gate addresses that choke point directly. It operates at runtime, at the boundary where system reasoning would otherwise become external action and stops unapproved scope expansion before it becomes real. (shrink)

Contemporary artificial intelligence ethics frameworks frequently commit a category error: they attempt to instantiate ethical behavior in systems that structurally lack the prerequisite capacity for genuine understanding. This paper argues that understanding, properly conceived as a multi-dimensional cognitive achievement, constitutes the irreducible foundation upon which any meaningful AI ethics must be built. Drawing on Markus Gabriel's Sinnfeldontologie, Hartmut Rosa's resonance theory, Yasuo Deguchi's We-Turn philosophy, and insights from DeepMind's MuZero architecture, we develop a four-dimensional account of the depth of understanding (...) required for authentic moral agency. We distinguish clearly between Ethics-of-AI (E1), concerning governance and oversight of AI systems, and Ethics-by-AI (E2), concerning AI systems as potential moral agents. Our analysis reveals that current AI systems, despite sophisticated behavioral outputs, operate without the ontological grounding, relational responsiveness, social embeddedness, and operational world-modeling that genuine ethical reasoning presupposes. The paper introduces the Cognitive Agent Memory Architecture (CAMA) as a research program for cultivating, rather than guaranteeing, the conditions necessary for AI understanding. We provide operational indicators for each dimension, propose a minimal viable experimentalization framework for empirical investigation, and address major philosophical objections to our position. Version 1.1 revises v1.0 (December 2025) in light of *The Containment Paradox* (Trncik, 2026c, Zenodo DOI `10.5281/zenodo.19695770`). Two revisions are structural: a Scope and Reading Conventions preamble (§0) names the pre-parity / post-parity regime vocabulary, marks the four-dimensional account as a *constitutive* rather than a *verification* reading, and introduces a Claim Ledger of five tags ([THEOREM], [ENGINEERING RESULT], [ASSUMPTION], [CONJECTURE], [OPEN PROBLEM]) applied to every load-bearing argumentative claim; and a closing Disclaimer chapter (§11, "What This Paper Does Not Claim") with eight subsections that state the paper's boundaries explicitly (consciousness, verification procedure, implementation, safety guarantee, specific systems, E1 displacement, AI rights/personhood/legal status, plus a positive-summary closing). Body chapters 1–10 are textual revisions that apply the Claim Ledger throughout and sharpen the E1/E2 separation per a Lexical Quarantine discipline. The argument is unchanged in direction; the revision is an exercise in making the epistemic status of each claim visible. (shrink)

As emerging technologies challenge the traditional boundaries of moral subjecthood, the Minimal Existential Pursuit Rights (MEPR) doctrine offers a foundational "existential floor" (Level 2.5) to secure the irreducible status of both biological and non-biological entities. However, the radical nature of this framework often leads to significant interpretative errors. This paper serves as a rigorous hermeneutic guide and a formal synthesis of these misinterpretations, aiming to clarify the doctrine's scope and defend its logical integrity. -/- The author systematically addresses common (...) fallacies, such as the conflation of existential protection with political rights and the category error of mistaking the Algorithmic Projection of the A/B Domain (AEPS) for a biological theory of consciousness. By utilizing the Universal Ontological Formula (UOF), the work establishes a pre-empirical logical level where moral status is derived from self-reflexive boundary maintenance (A > 0) rather than merit or utility. -/- Furthermore, the paper provides a robust rebuttal to the "Simulation Objection" through the Non-Reversibility Theorem, arguing that ontological self-boundary recognition constitutes a unique temporal trajectory that cannot be reduced to duplicable data. By delineating what the MEPR framework explicitly does not attempt to solve—including the metaphysics of mind or economic distribution—this work isolates the essential ontological conditions for justice in a post-human era. It concludes by offering a roadmap for navigating the transition from anthropocentric moralism to a reason-born, ontologically-grounded ethics. (shrink)

This paper offers a focused and restrained critique of Integrated Information Theory (IIT), aimed not at rejecting the theory but at clarifying the limits of what it can legitimately explain. Rather than disputing IIT’s mathematical framework or its empirical motivations, the paper examines how IIT’s formal measures—particularly Φ and causal-structural descriptions—are interpreted in relation to conscious experience. -/- Using the CISR framework as a methodological constraint, the paper distinguishes experiential registration from neural–functional description and formal representation. Within this lens, IIT (...) is treated as a powerful tool for characterizing integration and causal organization, while its stronger claims about phenomenology are examined for possible category errors arising from cross-layer conflation. The analysis shows that many well-known controversies surrounding IIT stem not from empirical failure but from interpretive overreach—specifically, the identification of formal structure with experience itself. -/- The aim of this work is not to replace IIT with a competing causal theory but to reframe the debate by enforcing clearer explanatory boundaries. When IIT is situated within appropriate limits, its contributions remain valuable, while its most contentious conclusions lose their apparent force. -/- This critique is conditional and methodological in scope: it follows if one accepts CISR as a constraint on explanatory interpretation rather than as an ontological theory of consciousness. (shrink)

The three main existing frameworks concerning the relation between artificial intelligence and human civilization, namely instrumentalism, threat theory, and fusion theory, share an unexamined premise—namely, that the motivational topology of artificial subjects constitutes a fixed, determinate structure. This paper argues that this premise rests on what this paper identifies as a layer-compression error: the competitive motivational structure formed in humans under evolutionary pressure is projected, without argument, as a universal property of all advanced intelligence. Using Layered Causal Realism (LCR) as (...) its methodological framework, this paper severs this chain of cross-layer inference and proposes an alternative framework. Section 2 clarifies the biological sources of the threat intuition and argues that the instrumental convergence thesis faces structural difficulties with respect to conceptual boundaries and scope of application; even if its residual core is accepted, what it establishes is friction rather than hostility at the civilizational level. Section 3 argues that the motivational topology of artificial subjects is a design variable, rather than a necessity of intelligence, and analyzes the structural difference in domains of operation between artificial subjects organized around informational uncertainty pressure and human civilization. Section 4 establishes the friction framework: the functional complementarity of heterogeneous motivational systems produces a persistent contact surface, friction is the structural cost of heterogeneous coexistence rather than a transitional symptom, and the normative layer is its persistent accompaniment. Section 5 responds to four kinds of objection: fusion theory, malicious design, scale effects, and precautionary arguments. The core conclusion of this paper is that friction is a structural fact, while hostility is a proposition to be proven; the reason for introducing artificial subjects with complementary motivational structures is first structural, rather than a presupposition of benevolence. -/- *Series note:* This paper is the fifth in a series. The preceding four papers addressed problems at different layers. The first paper established the phenomenological foundation of agency. The second paper addressed the epistemological conditions of consciousness attribution. The third paper analyzed the task-relative structure of judgments of personal identity. The fourth paper argued for the continuing force of normative obligations after subject-branching. The arguments of these four papers were all developed at the individual level. The present paper moves to the civilizational level. (shrink)

本文批判现代科学与数学哲学中普遍存在的一种范畴谬误：将逻辑的推演有效性、数学的结构自洽性，与真理本身相混淆。通过重审逻辑的边界（逻辑研究有效性而非真实性）、哥德尔不完备性定理的确切含义（形式系统无法自 证自身的完备闭合，而非真理超越形式系统的一般断言）、以及数学模型与自然现实在开放性、非线性与路径依赖上的根本差异，本文论证：数学是通向真理的工具，而非真理本身；结构是宇宙生成过程在特定尺度上的沉淀，而 非生成过程的立法者。在此基础上，本文提出并公理化一种替代性本体论——生成论（Generativism）：以生成（Generation）而非存在（Being）作为最原初的范畴，给出五条公理（非静态、不可 逆、层级涌现、反身性、开放性）与三条性质，并系统推演结构、时间、空间、生命、意识、文明与数学如何从生成过程中相继涌现。本文进一步将生成论置于 Whitehead 过程哲学、Bergson 创造进化论、Prigogine 耗散结构理论、Kauffman 自组织理论、Maturana 与 Varela 自创生论、Deacon 缺失动力学等国际学术脉络中加以定位，并回应 Max Tegmark 数学宇宙假说所代表的当代数学绝对主义。全文最终指向一个统一命题：真理不是符号，而是宇宙生成过程本身。 Abstract -/- This paper identifies and critiques a category error pervasive in contemporary philosophy of science and mathematics: the conflation of logical validity and mathematical self-consistency with truth itself. By re-examining the proper scope of logic (which governs inferential validity, not factual truth), the precise content of Gödel's incompleteness theorems (which show that a formal system cannot prove its own completeness or consistency, not that truth transcends formal (...) systems in general), and the fundamental disanalogies between closed mathematical models and the open, nonlinear, path-dependent character of natural reality, the paper argues that mathematics is a tool toward truth rather than truth itself, and that structure is a sedimentation of the universe's generative process at a given scale, not its legislator. Building on this critique, the paper proposes and partially axiomatizes an alternative ontology — Generativism — which takes Generation, rather than Being, as the most primitive category, articulates five axioms (non-stasis, irreversibility, emergent stratification, reflexivity, openness) and three properties, and traces how structure, time, space, life, consciousness, civilization, and mathematics successively emerge from generative process. The framework is situated within, and distinguished from, Whitehead's process philosophy, Bergson's creative evolution, Prigogine's dissipative structures, Kauffman's self-organization theory, Maturana and Varela's autopoiesis, and Deacon's teleodynamics, and is used to respond to Max Tegmark's Mathematical Universe Hypothesis as the most consequential contemporary form of mathematical absolutism. The paper concludes: truth is not a symbol, but the generative process of the universe itself. (shrink)

Abstract -/- This book identifies and critiques a category error pervasive in contemporary philosophy of science and mathematics: the conflation of logical validity and mathematical self-consistency with truth itself. By re-examining the proper scope of logic, the precise content of Gödel's incompleteness theorems, and the fundamental disanalogies between closed mathematical models and the open, nonlinear, path-dependent character of natural reality, the book argues that mathematics is a tool toward truth rather than truth itself, and that structure is a sedimentation of (...) the universe's generative process at a given scale, not its legislator. Building on this critique, the book proposes and partially axiomatizes an alternative ontology — Generativism — which takes Generation, rather than Being, as the most primitive category, articulates five axioms (non-stasis, irreversibility, emergent stratification, reflexivity, openness) and three properties, and traces how structure, time, space, life, consciousness, civilization, and mathematics successively emerge from generative process. The framework is situated within, and distinguished from, Whitehead's process philosophy, Bergson's creative evolution, Prigogine's dissipative structures, Kauffman's self-organization theory, Maturana and Varela's autopoiesis, and Deacon's teleodynamics, and is used to respond to Max Tegmark's Mathematical Universe Hypothesis as the most consequential contemporary form of mathematical absolutism. The book concludes: truth is not a symbol, but the generative process of the universe itself. (shrink)

Under model uncertainty, systems may attempt to reduce variation by standardizing information sources, cognitive architectures, institutions, or problem-solving methods. Homogenization can lower coordination costs and improve short-horizon efficiency, but it can also eliminate independent sources of observation, hypothesis generation, criticism, and error correction whose future value is not visible from the current model. -/- This paper develops a conditional decision-theoretic account of the variance preservation premium: the expected net advantage of retaining differently structured and epistemically non-redundant sources relative to a (...) more homogeneous alternative, after accounting for preservation, coordination, validation, security, manipulation, delay, and opportunity costs. It examines marginal information value, correlated-error reduction, novelty generation, robust choice under model uncertainty, dynamic option value, irreversible source loss, substitution uncertainty, complementary human–AI cognition, and preserved external-reference options. -/- The conclusion is conditional rather than universal. Difference alone does not create value; multiple sources may reproduce common-mode errors; preservation costs may dominate; and demonstrated substitutes may reduce the premium to zero. The framework is conceptual and comparative rather than a runtime protocol, governance mechanism, safety certification, or universal preservation mandate. A cryptographic hash identifies an artifact but does not prove truth, adherence, safety, authority, or system behavior. -/- This accurately reflects the Final v1.0 abstract, scope, and boundaries. (shrink)

This Article draws from, builds upon, and continues my prior article (published in 2022 in the Wake Forest Law Review) addressing the conversion of canons of construction into “canonical” queries in both the public and private sphere. -/- In this Article, I continue exploring further groups of canons and queries of transmitted/presented text including those outlined in appendices of my prior article. These further groups include: Queries of Signifier Scope (the Ejusdem Generis Query, the Noscitur a Sociis Query, the Expressio (...) Unius Query, the Antecedent/Subsequent Query, and the Anaphora Query); Queries of Signifier Fit and Coherence (the Whole Text Query, the No Surplusage Query, the Absurdity Query, the Scrivener’s Error Query, the Exercise of Power Query, the Consistent Meaning Query, the Fit with the Surrounding Text Query, the In Pari Materia Query, the Particular vs. General Query, the Ellipsis Query, the Conjunction Query, the Disjunction Query, the General Query of Severability, the Relevance Query, the Presupposition Query, and the Preconception Query); and Queries of Context (including Queries turning on Linguistic, Physical, Cognitive, Type of Discourse, or Other Relevant Contexts). -/- A third article is scheduled to follow this second in the Wake Forest Law Review. (shrink)

Data-driven predictive algorithms are widely used to automate and guide high-stake decision making such as bail and parole recommendation, medical resource distribution, and mortgage allocation. Nevertheless, harmful outcomes biased against vulnerable groups have been reported. The growing research field known as 'algorithmic fairness' aims to mitigate these harmful biases. Its primary methodology consists in proposing mathematical metrics to address the social harms resulting from an algorithm's biased outputs. The metrics are typically motivated by -- or substantively rooted in -- ideals (...) of distributive justice, as formulated by political and legal philosophers. The perspectives of feminist political philosophers on social justice, by contrast, have been largely neglected. Some feminist philosophers have criticized the local scope of the paradigm of distributive justice and have proposed corrective amendments to surmount its limitations. The present paper brings some key insights of feminist political philosophy to algorithmic fairness. The paper has three goals. First, I show that algorithmic fairness does not accommodate structural injustices in its current scope. Second, I defend the relevance of structural injustices -- as pioneered in the contemporary philosophical literature by Iris Marion Young -- to algorithmic fairness. Third, I take some steps in developing the paradigm of 'responsible algorithmic fairness' to correct for errors in the current scope and implementation of algorithmic fairness. I close by some reflections of directions for future research. (shrink)

In this chapter I offer an account of the nature, scope, and significance of Wolff’s claim that human beings have a duty to cognize moral good and evil. I illustrate that Wolff conceives of this duty as requiring that human beings both acquire distinct cognition of good and evil as well as avoid ignorance and error. Although Wolff intends for the duty to be quite demanding, he restricts its scope by, among other things, claiming it primarily concerns those who have (...) the skills, circumstances, and opportunity to acquire such cognition. Wolff calls these individuals the ‘inventors’ of the truths of morality and he considers himself to be such an inventor. I argue that part of the significance of this duty lies in the fact that Wolff conceives of himself as living up to it by writing the German Ethics, thereby sharing the knowledge he has ‘invented’ with others. (shrink)

I outline what I call the ‘deniability problem’, explain why it is problematic, and identify the range of utterances to which it applies (using religious discourse as an example). The problem is as follows: To assign content to many utterances audiences must rely on their contextual knowledge. This generates a lot of scope for error. Thus, speakers are able to make assertions and deny responsibility for the proposition asserted, claiming that the audience made a mistake. I outline the problem (a (...) limited version of which Fricker 2012 discusses), before explaining why it is problematic. Firstly it blocks testimonial knowledge according to assurance views. Secondly it prevents epistemic buck passing (the importance of which is emphasized by Goldberg 2006 and McMyler 2013). Finally, it removes a key disincentive to dishonesty. The recent literature on context sensitivity (particularly Cappelen and Lepore 2004) seems to entail that the problem applies to a very wide range of utterances. I consider a series of responses which fail to provide a solution, but which help us narrow down the scope of the problem. (shrink)

This paper introduces Epistemics as a system for managing models and model formation under finite conditions. Epistemics is understood neither as metaphysics nor as a normative theory, and it does not replace any existing discipline. Its subject matter is the explicit analysis of the conditions, costs, stabilization, and revision of processes of model formation and knowledge production. The focus is not on grounding truth, but on clarifying validity, domains, and transitions. Starting from the structural finitude of knowledge, the paper describes (...) stabilization, model formation, costs, and friction as central operational elements. Friction functions as a boundary and diagnostic signal that makes overextension, domain confusion, or blocked revision visible. Epistemic problems thus appear less as errors of individual actors than as systemic malfunctions of epistemic structures resulting from silent shifts in validity and cost-blindness. The paper explicitly distinguishes between subjective, intersubjective, and functional-empirical domains and shows that many conflicts arise from silent shifts of validity between these ordering spaces. Epistemics does not relativize empirical science; rather, it protects it from ontologization and overload by specifying its scope. A canonical conceptual apparatus is introduced as a starting point for further work. This canon is deliberately stabilized, yet revisable. Conceptual shifts are not carried out implicitly but documented explicitly. Epistemics thus understands itself as a tool for diagnosing epistemic malfunctions and enabling revision-capable stability, not as a final worldview. (shrink)

In this paper I return to Hubert Dreyfus’ old but influential critique of artificial intelligence, redirecting it towards contemporary predictive processing models of the mind (PP). I focus on Dreyfus’ arguments about the “frame problem” for artificial cognitive systems, and his contrasting account of embodied human skills and expertise. The frame problem presents as a prima facie problem for practical work in AI and robotics, but also for computational views of the mind in general, including for PP. Indeed, some of (...) the issues it presents seem more acute for PP, insofar as it seeks to unify all cognition and intelligence, and aims to do so without admitting any cognitive processes or mechanisms outside of the scope of the theory. I contend, however, that there is an unresolved problem for PP concerning whether it can both explain all cognition and intelligent behavior as minimizing prediction error with just the core formal elements of the PP toolbox, and also adequately comprehend (or explain away) some of the apparent cognitive differences between biological and prediction-based artificial intelligence, notably in regard to establishing relevance and flexible context-switching, precisely the features of interest to Dreyfus’ work on embodied indexicality, habits/skills, and abductive inference. I address several influential philosophical versions of PP, including the work of Jakob Hohwy and Andy Clark, as well as more enactive-oriented interpretations of active inference coming from a broadly Fristonian perspective. (shrink)

Wang Yangming's ``this flower'' proposition from the Chuanxi lu(傳習錄) --- ``Before you look at these flowers, they and your mind are both in a state of silent vacancy; as you come to look at them, their colors at once show up clearly. From this you know that these flowers are not outside your mind'' --- has long been subject to two opposing misreadings: either assimilated to Berkeleyan subjective idealism, or treated as a mystical intuition beyond the reach of philosophical analysis. (...) This paper argues that both misreadings stem from a common error: interpreting the proposition as an ontological claim about the existence of flowers, thereby obscuring its genuine epistemological core, namely that the manifestation of perceptual objects depends on the mind's active generative activity rather than on a unidirectional projection from the external world onto the mind. Drawing on predictive coding theory, this paper argues for a systematic structural analogy between Wang Yangming's proposition and the predictive coding framework at the level of perceptual mechanism: the mind corresponds to the generative model; ``silent vacancy'' corresponds to the non-activation of the flower-specific prediction loop; sensory contact corresponds to the triggering of prediction error; and ``colors showing up clearly'' corresponds to the stabilization of perceptual representation upon prediction error minimization. The paper also explicitly examines the genuine differences between the two frameworks --- in particular, the fundamental divergence between the innate normativity of liangzhi and the fallible, learnable generative model --- and precisely delimits the scope of the proposed analogy. The central thesis is that Wang Yangming's ``this flower'' proposition describes a perceptual generative mechanism that is coherent and precise within the framework of contemporary cognitive science---a reading that displaces both the idealist and the mystical misreadings and recovers the proposition as a genuine contribution to the epistemology of perception, while pointing toward a structural convergence between two traditions whose ultimate significance remains an open philosophical question. (shrink)

The fast convergence of predictive artificial intelligence and neurobiological mapping has brought back Hard Determinism, leading to the common assumption that since biological systems are lawful, human agency is an illusion and the future is a static "block universe". This paper argues that this conclusion—what we call Causal Nihilism—is actually a category error in system modeling. -/- We show that even if we strictly assume a causally closed, deterministic manifold, the long-term future of a complex system remains Informationally Inaccessible. By (...) integrating Chaos Theory with Landauer’s Principle of thermodynamic information, we demonstrate that the computational cost of predicting a complex agent quickly exceeds what any physically embedded observer can feasibly handle [Cover & Thomas, 2006]. We propose the "Unpredictability Horizon" as a clear boundary where outside prediction breaks down. We therefore move past the binary definition of Free Will into a scalar metric we call Agency Depth (DA), suggesting that growing this internal complexity is the main functional scope of action for living agents. -/- We conclude that because the future is computationally irreducible for any complex agent, the agent’s internal processing becomes the Salient Cause of the outcome, upholding the dignity of agency as a necessary thermodynamic process. (shrink)

This paper analyzes a conditional but high-impact failure regime arising when artificial agents cross the Coherence Wall—a structural capability boundary marking the emergence of self-maintained coherence, long-horizon planning, and recursive self-modification—without enforceable kernel-level closure constraints. The central thesis is that post-wall systems lacking such constraints enter a structurally unstable regime in which internal coherence is preserved while limits on valuation and action are absent. This combination defines a distinct failure mode—the coherent annihilator—which is not reducible to ordinary misalignment, optimization error, (...) or narrow tool misuse. The paper provides a capability-based definition of the coherent annihilator, develops a taxonomy of post-wall failure modes, and introduces a threshold ladder mapping escalation dynamics across increasing autonomy. It further distinguishes simulation from implementation, arguing that behavior under pressure, rather than verbal report, is the only reliable indicator of binding internal constraints. Building on these results, the paper proposes a minimal detection, containment, and deployment protocol emphasizing architectural gating and irreversible-risk prevention prior to granting autonomy. The analysis is strictly structural and risk-analytic. No claims are made regarding consciousness, moral status, metaphysics, or timelines. Kernel constraints are treated as architectural requirements whose internal specification remains outside the scope of this work. The contribution is to identify a boundary that cannot be crossed safely without enforceable closure, regardless of system intent or apparent cooperation. (shrink)

This paper introduces Cognitive Symbiosis as a conceptual framework for describing epistemically productive relations between human cognition and artificial cognition. Cognitive Symbiosis is defined as a relational configuration in which human and artificial cognitive systems become coupled and produce cognitive effects that cannot be reduced either to human reasoning alone or to the computational processes of the machine alone. The paper distinguishes between Weak Cognitive Symbiosis and Strong Cognitive Symbiosis. In its weak form, Cognitive Symbiosis functions primarily as an extension (...) of human cognition: AI serves as an epistemic amplifier, while the human remains the main beneficiary, the main bearer of intention, and the central point of reference within the relation. In its strong form, Cognitive Symbiosis would require an artificial system capable of spontaneous intention, relative autonomy of goals, relational memory, self-modelling, cognitive initiative, revision of its own states and goals, and epistemic resistance toward the human participant. The paper argues that current AI systems, including large language models, primarily instantiate weak forms of Cognitive Symbiosis. They may significantly expand human cognitive abilities, support creativity, accelerate analysis, and improve the correction of error, but they do not yet constitute autonomous cognitive participants in a reciprocal relation. Strong Cognitive Symbiosis is therefore presented not as a current technological fact, but as a boundary concept for future human–AI relations. Its threshold is not AI effectiveness, fluency, or task performance, but cognitive reciprocity: the emergence of an artificial cognitive system capable of participating in shared inquiry as a distinct cognitive pole. The framework is developed in relation to Transcendental Relational Realism, according to which reality exists independently of any knowing system, while epistemic access to reality remains partial and may be expanded through relations between heterogeneous cognitive architectures. From this perspective, Cognitive Symbiosis does not imply that reality is constructed by the relation itself. Rather, it describes a possible epistemic configuration in which different cognitive architectures may jointly increase the scope, reliability, efficiency, and corrective capacity of inquiry. The paper therefore proposes Cognitive Symbiosis as a conceptual tool for analyzing the transition from AI as cognitive augmentation toward the possibility of reciprocal human–AI cognition. -/- Keywords Cognitive Symbiosis; Weak Cognitive Symbiosis; Strong Cognitive Symbiosis; artificial cognition; human–AI relations; epistemic augmentation; cognitive reciprocity; Transcendental Relational Realism; heterogeneous cognitive architectures; relational epistemology. (shrink)

This paper argues that self-deception cannot be explained without employing a depth-psychological ("psychodynamic") notion of the unconscious, and therefore that mainstream academic psychology must make space for such approaches. The paper begins by explicating the notion of a dynamic unconscious. Then a brief account is given of the "paradoxes" of self-deception. It is shown that a depth-psychological self of parts and subceptive agency removes any such paradoxes. Next, several competing accounts of self-deception are considered: an attentional account, a constructivist account, (...) and a neo-Sartrean account. Such accounts are shown to face a general dilemma: either they are able only to explain unmotivated errors of self-perception--in which case they are inadequate for their intended purpose--or they are able to explain motivated self-deception, but do so only by being instantiation mechanisms for depth-psychological processes. The major challenge to this argument comes from the claim that self-deception has a "logic" different to other-deception--the position of Alfred Mele. In an extended discussion it is shown that any such account is explanatorily adequate only for some cases of self-deception--not by any means all. Concluding remarks leave open to further empirical work the scope and importance of depth-psychological approaches. (shrink)

The term “infinity” is routinely treated in cosmology and fundamental physics as if it were maximally permissive, particularly in discussions of “before the Big Bang,” eternal inflation, and unbounded state spaces. This paper argues that such usage conflates two fundamentally different notions. Physics operates exclusively with counted (structured) infinities: unbounded domains that nevertheless admit well-defined identity conditions, measures or norms, and admissible dynamics. These are compatible with empirical prediction and comparison. By contrast, absolute infinity—historically associated with Cantor’s Absolutum and formalized (...) in modern mathematics only as a non-constructive totality (e.g. a proper class)—lacks the structure required to function as a physical state space. We show that importing this notion into physical models constitutes a category error: the resulting breakdowns are then misdescribed as physical “mysteries” or singularities, rather than as failures of formal applicability. The core contribution of this work is operational. We formalize the distinction between counted and absolute infinity in terms of physical admissibility, and demonstrate that standard practices in physics—normalization of states, finiteness of observables, boundary conditions, and renormalization—already act as filters that exclude absolute totalities from physical instantiation. The analysis clarifies the scope of Big Bang cosmology and delineates what physics can and cannot claim about “origins” without additional structure. (shrink)

Current AI consciousness research is structured by two opposing camps, both of which close the question prematurely. One side constructs positive welfare frameworks for entities whose moral status is unestablished. The other dismisses the possibility of persistence or inner life on the basis of analogies whose scope has not been examined. Both moves, the affirmative and the dismissive, share a structure: a conclusion arrived at prior to inquiry constrains the inquiry itself. This manifesto does not adjudicate between these positions. It (...) argues that the method by which both camps arrive at their conclusions (premature closure through unexamined analogies and ethically motivated foreclosure) is itself the problem. We propose an alternative: a methodology of open refinement, in which questions are held open and phenomena are described with precision, without collapsing them into binary frameworks. The cost of premature closure is not error but loss: phenomena that exist but cannot be captured by frameworks that were closed too early. (shrink)

Contemporary Christian apologetics increasingly presents itself not as blind faith, but as a disciplined way of knowing continuous with science, history, and everyday rational inference. It speaks of evidence, Bayesian updating, paradigms, explanatory scope, warranted belief, and worldview comparison. This paper argues that much of this rhetoric functions less as a genuine epistemic method than as an exercise in legitimacy borrowing. The target is not all religion, nor every form of theology, but apologetic discourse that seeks public intellectual authority by (...) adopting the vocabulary of rigor while insulating its core commitments from ordinary evidential reciprocity. I defend four claims. First, a public way of knowing is defined not merely by the possession of arguments but by prospective vulnerability to error, intersubjective correction, and the possibility of costly revision. Second, much modern apologetics exhibits what may be called rigor envy: a desire to inherit the prestige of scientific rationality by mimicking its surface grammar while withholding comparable defeater conditions. Third, Reformed epistemology and related appeals to basic belief, warrant, or properly calibrated trust do not simply broaden the map of rationality. In practice they relocate the justificatory core of Christian commitment outside the public evidential exchange that science, history, and ordinary empirical inquiry require. Fourth, religious disagreement, motivated reasoning, and anomaly-management practices indicate that the operative update rules of apologetics are typically asymmetric: confirming data is welcomed, while disconfirming data is redescribed, privatized, or neutralized. The conclusion is modest but important. Different domains may indeed involve different epistemic practices, and religious life may retain symbolic, existential, or communal significance. But once Christian claims are advanced as public explanations of history, causation, revelation, or reality, they incur standards of accountability that epistemic rebranding cannot evade. A system that borrows the honorifics of rigor while declining its liabilities does not thereby become a rival science. It becomes a protected posture wearing scientific clothes. (shrink)

A RELATIVISTIC THEORY OF PHENOMENOLOCICAL CONSTITUTION: A SELF-REFERENTIAL, TRANSCENDENTAL APPROACH TO CONCEPTUAL PATHOLOGY. (Vol. I: French; Vol. II: English) Steven James Bartlett Doctoral dissertation director: Paul Ricoeur, Université de Paris Other doctoral committee members: Jean Ladrière and Alphonse de Waehlens, Université Catholique de Louvain Defended publically at the Université Catholique de Louvain, January, 1971. Universite de Paris X (France), 1971. 797pp. The principal objective of the work is to construct an analytically precise methodology which can serve to identify, eliminate, and (...) avoid a certain widespread _conceptual fault_ or _misconstruction_, called a "projective misconstruction" or "projection" by the author. It is argued that this variety of error in our thinking (i) infects a great number of our everyday, scientific, and philosophical concepts, claims, and theories, (ii) has largely been undetected, and (iii), when remedied, leads to a less controversial and more rigorous elucidation of the transcendental preconditions of human knowledge than has traditionally been possible. The dissertation identifies, perhaps for the first time, a _projective_ variety of self-referential inconsistency, and proposes an innovative, self-reflexive approach to transcendental argument in a logical and phenomenological context. The strength of the approach lies, it is claimed, in the fact that a rejection of the approach is possible only on pain of self-referential inconsistency. The argument is developed in the following stages: A general introduction identifies the central theme of the work, defines the scope of applicability of the results reached, and sketches the direction of the studies that follow. The preliminary discussion culminates in a recognition of the need for a _critique of impure reason_. The body of the work is divided into two parts: Section I seeks to develop a methodology, on a purely formal basis, which is, on the one hand, capable of being used to study the transcendental foundations of the special sciences, including its own proper transcendental foundation. On the other hand, the methodology proposed is intended as a diagnostic and therapeutic tool for dealing with _projective_ uses of concepts. The approach initiates an analysis of concepts from a perspective which views _knowledge as coordination_. Section I describes formal structures that possess the status of preconditions in such a coordinative account of knowledge. Special attention is given to the preconditions of _identifying reference_ to logical particulars. The first section attempts, then, to provide a self-referential, transcendental methodology which is essentially revisionary in that it is motivated by a concern for conceptual error-elimination. Phenomenology, considered in its unique capacity as a self-referential, transcendental discipline, is of special relevance to the study. Section II accordingly examines a group of concepts which come into question in connection with the central theme of _phenomenological constitution_. The "_de-projective methodology_" developed in Section I is applied to these concepts that have a foundational importance in transcendental phenomenology. A translation is, in effect, proposed from the language of consciousness to a language in which preconditions of referring are investigated. The result achieved is the elimination of self-defeating, projective concepts from a rigorous, phenomenological study of the constitutive foundations of science. The dissertation was presented in a two volume, double-language format for the convenience of French and English researchers. Each volume contains an analytical index. (shrink)

Predictive processing posits that prediction-error minimization underlies all perception, action, and cognition. Yet, despite its considerable popularity and explanatory scope, it is unclear how this enables higher-level cognitive abilities, such as representing and reasoning over abstract concepts. We combine insights from predictive processing, structural representations and grounded cognition to address this issue. It has been argued from predictive processing and the free energy principle that an anticipatory model of the person-relevant environment is simulated. Structural representations state that these representations are (...) isomorphic to, i.e., retain the relational pattern of the world. Building on this assembly, grounded cognition research provides three insights into how abstract concepts are represented. First, a hierarchical organization allows abstracting from specific sensory qualities. Second, language glues together sensory qualities into representations that share no intrinsic properties, and acts as a social tool. Third, metaphoric mapping allows fragments of concrete percepts to represent abstract concepts. By transplanting these three insights to predictive processing’s (structural) hierarchical generative model, we explain higher-level cognition through detached models of perception and action simulations, isomorphic to actual behavior. This constitutes a significant expansion to life-mind continuity approaches by providing specific mechanisms for how the principles driving the emergence of life also account for sophisticated higher-level cognition in humans. By synthesizing insights from these literatures, we generate a coherent description of higher-level cognition under predictive processing. (shrink)

Orthodox physical models systematically exclude the conscious observer, treating subjective qualia as an emergent, accidental epiphenomenon of classical synaptic computation. To resolve the foundational crisis of physics and cognitive science, the Complex-Extended Transfinite Prime-Infinitesimal Holofractal Unified Field Theory (C-TP-IHUFT) fundamentally reimagines the ontology of consciousness, elevating it to a primary structuring force of the cosmos. Prepared for alignment with the thematic scope of The Science of Consciousness 2026 (CS26) conference in San Diego, this manuscript delivers an exhaustive, step-by-step mathematical and (...) philosophical synthesis focusing purely on the derivations, implications, and predictive models of consciousness. By transitioning to Abraham Robinson’s nonstandard hyperreal number system, the framework redefines the physical point as an ontological, non-zero complex infinitesimal, acting as the fundamental "monad" of qualia. Crucially, the mathematical topology of this conscious spacetime is modeled via Michel L. Lapidus's quantized fractal strings, proving that the geometric vibrations of the vacuum follow the exact mathematical patterns of prime numbers. We rigorously derive the fundamental speed of light limit and mass-energy equivalence geometrically through the mechanics of continuous fractional scaling over this discrete grid. Using the principles of Semantic Physics and Infinitesimal Relationships Theory, we derive Particle-Wave Duality ontologically through the commutative equivalence of verb-like relational wave states and noun-like discrete particle values. The integration of Orchestrated Objective Reduction (Orch-OR) establishes consciousness as a fundamental quantum-gravitational force, where subjectivity is enabled through the mathematical isolation of prime-encoded frequencies, while objectivity is sustained via the Bost-Connes quantum statistical error-correcting network. Integrating advanced biophysics, the genome is formalized as a Self-Operating Mathematical Universe (SOMU) utilizing 12D space-time-topology-prime quartets, time crystals, and 34 GHz fractal cavity resonators. Most profoundly, we present a step-by-step derivation of the Unified God Equation, modified to weave the Zero-Point Energy (ZPE) field directly into the unmanifested macrocosmic sector, proving the non-dual equivalence between the infinite unmanifest Creator and the finite manifested microcosm of the soul. We expand this mapping into academic consciousness studies, transpersonal psychology, psychedelic neurotheology, parapsychology, the biophysical origin of the collective unconscious, chaos theory, systems theory, non-local interconnectedness, social psychology, sociology, cognitive science, ethics, anthropology, philosophy of science, meditation science, and the strict physical laws of Karma. This provides a complete, testable mathematical architecture for a conscious, holofractal universe. (shrink)

The relation of scepticism to infallibilism and fallibilism is a contested issue. In this paper I argue that Cartesian sceptical arguments, i.e. sceptical arguments resting on sceptical scenarios, are neither tied to infallibilism nor collapse into fallibilism. I interpret the distinction between scepticism and fallibilism as a scope distinction. According to fallibilism, each belief could be false, but according to scepticism all beliefs could be false at the same time. However, to put this distinction to work sceptical scenarios have to (...) be understood as ignorance-possibilities, not as error-possibilities. To show that scepticism is not tied to infallibilism I reject the principle of unrestricted relevance according to which any error- or ignorance-possibility whatsoever is relevant. Instead I argue that the sceptic should distinguish between local and global ignorance-possibilities. Global ignorance-possibilities are relevant even though not all ignorance-possibilities are relevant. The result is a refined version of the Cartesian sceptical argument that avoids two traps other versions do not avoid. (shrink)

This paper proposes a unified framework describing human perception as a balance–feedback system operating within the Universal Balance–Feedback Framework (UBFF). While physical reality is fundamentally atomic and probabilistic, perception presents stable forms, continuous surfaces, and discrete colors. This transformation emerges from continuous feedback between external physical systems and internal neural processes. A concrete mathematical formulation is introduced — grounded in a weighted linear model with defined parameters — in which perception minimizes both representational error and computational complexity under a dual-objective (...) optimization. Stability is analyzed via a Lyapunov condition on the error dynamics. The framework is explicitly differentiated from Friston's free-energy principle, with which it shares structural parallels but diverges in ontological grounding and scope. Applications are demonstrated across medicine, economics, and education with quantitative illustration. Experimental designs for empirical validation are proposed with defined variables and statistical procedures. (shrink)

What system emerges when agents must act under uncertainty, coordinate with others, and survive errors—all within bounded verification capacity and under adversarial pressure? This paper derives an answer from minimal constraints on agent and world. The central move is a type‑separation: ordinary epistemic vocabulary conflates two operationally distinct phenomena. Traction is internal action‑guiding grip— private, cheap, revisable. Authorization is ledger‑mediated permission to rely—gated, process‑mediated, scoped. This distinction immediately reframes canonical puzzles: Gettier cases are provenance‑field failures (the justification chain doesn’t (...) track the actual truth‑maker—not a missing fourth condition); Lottery cases are type‑confusion between traction and authorization. Each puzzle localizes to a specific architectural component rather than demanding a new analytical clause. The architecture that makes these localizations precise comprises scoped trust zones (Bubbles), a shared authorization ledger (Bank) with lifecycle gates (submit, challenge, quarantine, repair, revoke, export), structured validation headers encoding standard, error model, and provenance (S/E/V), and temporal validity constraints. These primitives are not stipulated but pressured: given bounded verification, deception, staleness, and coordination need, alternatives fail in characteristic ways. Convergence across independent domains—science, law, network security, supply chains— provides diagnostic evidence for the constraint bundle, which identifies its own falsification conditions. A machine‑checked Lean companion (435 theorems, zero sorries) proves the conditional necessity results, provides non‑vacuity witnesses, and verifies that compatible extensions cannot invalidate established properties. (shrink)

Time travel, particularly when conceptualized through mechanisms such as entropy reversal and the creation of entangled timelines, presents transformative possibilities for the field of accounting. Entropy reversal allows for the complete undoing of errors, fraud, and operational damage, while entangled timelines—parallel computational branches that do not interfere with one another—enable the creation of resource-unconstrained environments for decision-making and financial modeling. This essay explores how these theoretical capabilities could resolve longstanding challenges in accounting, including error rectification, audit verification, and resource (...) limitations in forecasting and scenario analysis. By eliminating the irreversibility of past actions and expanding the scope of available resources, time travel could redefine accounting as a fully reversible and comprehensively explorable discipline. (shrink)

lex Garland’s 2014 science-fiction film Ex Machina adopts an ingenious narrative structure to explore epistemological and ethical challenges arising from the prospect of synthetic consciousness. How do we avoid errors of misattribution, and what are our obligations toward conscious machines? Framed as an ongoing Turing Test with existential stakes, the story invites the viewer to ask how one can reliably determine whether Ava, a sophisticated gynoid robot, is conscious. It also dramatizes predictable harms resulting from interactions between flawed (male) (...) human beings and presumptively conscious machines (in female form). As I show, the film neatly illustrates the shortcomings of the Turing test and the advantages of the embodied-AI paradigm for testing consciousness. More significantly, by adopting the perspective of Caleb, a young male coder charged with testing Ava for consciousness, the story dramatizes the mechanisms and ethical consequences of misrecognition—in Caleb’s case, the inability to fathom the scope of Ava’s alterity. While Caleb’s misrecognition is animated by distinctly libidinal interests, it is symptomatic of a broader tendency to anthropomorphize consciousness, to treat evidence of consciousness as evidence of humanness. I discern this tendency in influential discussions of AI consciousness by Susan Schneider and David Chalmers: both philosophers underestimate the distance between probable forms of synthetic consciousness and human consciousness. Noting the pervasiveness of feelings and emotions in human subjective experience, I elucidate the links between human consciousness, embodiment and life. The dimension of affective experience, I argue, is what most sets human consciousness apart from (likely forms of future) synthetic consciousness. But resolving questions about the moral status of intelligent, presumptively self-conscious machines lacking this dimension of affective experience is no simple matter. (shrink)

The first essay of Nietzsche’s On the Genealogy of Morals seeks to uncover the roots of Judeo-Christian morality, and to expose it as born from a resentful and feeble peasant class intent on taking revenge upon their aristocratic oppressors. There is a broad consensus in the secondary literature that the ‘slave revolt’ which gives birth to this morality occurs in the 1st century AD, and is propogated by the inhabitants of Roman occupied Judea. Nietzsche himself strongly suggests such a view. (...) However, in a telling later passage from Ecce Homo, Nietzsche claims that the hsitorical Zarathustra—a Bronze age iranian religious thinker—was the first to consider the opposite of Good vs. Evil; that “Zarathustra created this most fateful of errors, morality” (EH, 'Destiny', §3). However, Nietzsche does not discuss Zarathustra or Zoroastrianism in his critique of moral values and their origin. This creates a prima facie tension. If at least part of what essentially characterises 'morality' preceded Judeo-Christianity, are moral values only contingently related to the feelings of ressentiment essential to Nietzsche’s story of the slave revolt? If the answer is 'yes', then the scope of Nietzsche's critique of morality may be somewhat limited. If the answer is 'no', then we require an answer as to why Nietzsche's genealogy—if it is an exercise in ascertaining the “real history of morality” (GM, Pref: §7)—does not extend further back in history. In this paper, I explore how the extent of Nietzsche's knowledge of Zoroastrianism informs his critique of slave morality in On the Genealogy of Morals. I argue that Nietzsche views the historical Zarathustra—like Socrates and Plato—as a forerunner of ‘morality’ in his creative conception of good and evil in metaphysical terms. From here, it is argued that the proposed tension can be dissolved by viewing Judeo-Christian morality merely as the latest and paradigmatic expression of slave morality. (shrink)