The relationship between sleep and memory has been controversial since the 1950s. Studies on delayed dream recall and long-term retention of pre-sleep stimuli indicate that sleep may have a positive role in the consolidation of information. This positive indication counterbalances the negative one from the studies on the effects of REM deprivation. [Vertes & Eastman].

Designing an ontology that meets the needs of end-users, e.g., a medical team, is critical to support the reasoning with data. Therefore, an ontology design should be driven by the constant and efficient validation of end-users needs. However, there is not an existing standard process in knowledge engineering that guides the ontology design with the required quality. There are several ontology design processes, which range from iterative to sequential, but they fail to ensure the practical application of an (...) ontology and to quantitatively validate end-user requirements through the evolution of an ontology. In this paper, an ontology design process is proposed, which is driven by end-user requirements, defined as Competency Questions (CQs). The process is called CQ-Driven Ontology DEsign Process (CODEP) and it includes activities that validate and verify the incremental design of an ontology through metrics based on defined CQs. CODEP has also been applied in the design and development of an ontology in the context of a Mexican Hospital for supporting Neurologist specialists. The specialists were involved, during the application of CODEP, in collecting quality measurements and validating the ontology increments. This application can demonstrate the feasibility of CODEP to deliver ontologies with similar requirements in other contexts. (shrink)

This essay develops a structural account of continuity under the finite conditions of life without recourse to transcyclic identity. Departing from the traditional coupling of continuity and sameness, it proposes a model in which continuity emerges through iterative transformation rather than through the persistence of a subject, substance, or soul. The framework is articulated through four orientations—RO, RQ, SO, and SQ—reinterpreting Harman’s ontological fourfold as functional moments within an iterative process. Central to the model is the concept (...) of a structural surplus that prevents cyclical closure and gives rise to an irreversible spiral. This surplus consists of the accumulation of structural differentiation and the modulation of the semantic field during phases of phenomenal stabilization. While phenomenal contents—memory, meaning, and biographical coherence—are genuinely stored in SQ, they are strictly local and dissolve with the end of that stabilization. What carries over is not content or identity, but a transformed structural condition. Within this framework, death appears not as a transition or passage, but as a necessary structural cut that separates incompatible regimes of storage. Human existence is understood as a local and temporally bounded stabilization within the spiral—neither its carrier nor its goal. Against doctrines of reincarnation and Nietzsche’s notion of the eternal return of the same, the model articulates a form of continuity without recurrence. The essay concludes by proposing iteration without return as a post-nihilistic configuration of meaning: an affirmative account of finitude in which singularity, not repetition, is the condition of significance. (shrink)

Following the pioneer work of Bruno De Finetti [12], conditional probability spaces (allowing for conditioning with events of measure zero) have been studied since (at least) the 1950's. Perhaps the most salient axiomatizations are Karl Popper's in [31], and Alfred Renyi's in [33]. Nonstandard probability spaces [34] are a well know alternative to this approach. Vann McGee proposed in [30] a result relating both approaches by showing that the standard values of infinitesimal probability functions are representable as Popper functions, and (...) that every Popper function is representable in terms of the standard real values of some infinitesimal measure. Our main goal in this article is to study the constraints on (qualitative and probabilistic) change imposed by an extended version of McGee's result. We focus on an extension capable of allowing for iterated changes of view. Such extension, we argue, seems to be needed in almost all considered applications. Since most of the available axiomatizations stipulate (definitionally) important constraints on iterated change, we propose a non-questionbegging framework, Iterative Probability Systems (IPS) and we show that every Popper function can be regarded as a Bayesian IPS. A generalized version of McGee's result is then proved and several of its consequences considered. In particular we note that our proof requires the imposition of Cumulativity, i.e. the principle that a proposition that is accepted at any stage of an iterative process of acceptance will continue to be accepted at any later stage. The plausibility and range of applicability of Cumulativity is then studied. In particular we appeal to a method for defining belief from conditional probability (first proposed in [42] and then slightly modified in [6] and [3]) in order to characterize the notion of qualitative change induced by Cumulative models of probability kinematics. The resulting cumulative notion is then compared with existing axiomatizations of belief change and probabilistic supposition. We also consider applications in the probabilistic accounts of conditionals [1] and [30]. (shrink)

The semantic automata framework, developed originally in the 1980s, provides computational interpretations of generalized quantifiers. While recent experimental results have associated structural features of these automata with neuroanatomical demands in processing sentences with quantifiers, the theoretical framework has remained largely unexplored. In this paper, after presenting some classic results on semantic automata in a modern style, we present the first application of semantic automata to polyadic quantification, exhibiting automata for iterated quantifiers. We also discuss the role of semantic automata in (...) linguistic theory and offer new empirical predictions for sentence processing with embedded quantifiers. (shrink)

The semantic automata framework, developed originally in the 1980s, provides computational interpretations of generalized quantifiers. While recent experimental results have associated structural features of these automata with neuroanatomical demands in processing sentences with quantifiers, the theoretical framework has remained largely unexplored. In this paper, after presenting some classic results on semantic automata in a modern style, we present the first application of semantic automata to polyadic quantification, exhibiting automata for iterated quantifiers. We also discuss the role of semantic automata in (...) linguistic theory and offer new empirical predictions for sentence processing with embedded quantifiers. (shrink)

We introduce a class of set-theoretic operators on a tolerance space that models the process of minimal belief contraction, and therefore a natural process of iterated contraction can be defined. We characterize the class of contraction operators and study the properties of the associated iterated belief contraction.

Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this (...) posterior distribution, iterated learning converges to a distribution over languages that is determined entirely by the prior. Under these conditions, iterated learning is a form of Gibbs sampling, a widely-used Markov chain Monte Carlo algorithm. The consequences of iterated learning are more complicated when learners choose the language with maximum posterior probability, being affected by both the prior of the learners and the amount of information transmitted between generations. We show that in this case, iterated learning corresponds to another statistical inference algorithm, a variant of the expectation-maximization (EM) algorithm. These results clarify the role of iterated learning in explanations of linguistic universals and provide a formal connection between constraints on language acquisition and the languages that come to be spoken, suggesting that information transmitted via iterated learning will ultimately come to mirror the minds of the learners. (shrink)

ABSTRACT We consider in this work the problem of iterated belief revision. We propose a family of belief revision operators called revision with memory operators and we give a logical (both syntactical and semantical) characterization of these operators. They obey what we call the principle of strong primacy of update: when one revises his beliefs by a new evidence, then all possible worlds that satisfy this new evidence become more reliable than those that do not. We show that those operators (...) have a satisfying behaviour concerning the iteration of the revision process. Then we provide four particular operators of this family. (shrink)

More and more human beings find themselves not sharing in the collective identity of their host countries, while enjoying certain rights and benefits as guest workers or permanent residents. The entitlement to social rights, which T. H. Marshall had considered the pinnacle of citizenship, has been dissociated from shared collective identity and political membership. This chapter begins by considering the disaggregation of citizenship; then, building on the promise of “jurisgenerative politics,” it develops the concept of “democratic iterations” as offering normative (...) and institutional solutions to the paradoxes of democratic legitimacy. Examining several cases from contemporary European debates concerning the rights of foreigners and immigrants, the chapter then illustrates processes of democratic iteration at work. Democratic iterations are complex ways of mediating the will- and opinion-formation of democratic majorities and cosmopolitan norms. In conclusion, the chapter discusses the ontological puzzles of cosmopolitan norms. (shrink)

In my book, The Rights of Others, I developed a discourse-theoretic approach to questions of political membership in liberal democracies, which include practices of citizenship, as well as of immigration, refuge and asylum. This article revisits five issues in response to various criticisms. How can we justify democratic exclusions? Is there a `right to membership' and how can it be reconciled with the different practices of various constitutional democracies? Is there a distinction between normatively acceptable and normatively problematic restrictions on (...) political membership? Does the concept of `democratic iterations' describe normative or empirical processes? How plausible is the binarism of the national and the global? I argue that democratic exclusions can be justified by not discriminating against would-be citizens and immigrants on the basis of ascriptive criteria. Ascriptive characteristics, like one's sex and skin colour, are not the product of one's voluntary doings. Democratic iterations are empirical processes which can be judged in the light of normative criteria deriving from discourse theory. Furthermore, while the binarism of national and global is problematical, alternative configurations of political membership at the present are not more defensible. (shrink)

This edited volume considers the ways in which multiple stages, phases, or periods in an artistic or design process have served to arrive at the final artefact, with a focus on the meaning and use of the iteration, over the end result. In examining iteration, this collection of essays seeks to explore ways of theorising ideas surrounding series of objects, whether the original, the unfinished, the interim object, or the copy, vis-à-vis antecedents and successive exemplars. It asks how a (...) closer look at iterations of a single object-type - whether art, architecture, or design - might reveal new insight into the production of other objects and the production of thought alike. Written by an international team of contributors, offering a range of perspectives, it will look broadly at meaning and insight offered by the iteration, the multiple, and the design process, for historical research and its methods. (shrink)

We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, thus permitting improper responses to sequences of observations. We remedy this weakness by proposing four additional postulates, which are sound relative to a qualitative version of probabilistic conditioning. Contrary to the AGM framework, the proposed postulates characterize belief revision as a process which may depend on elements of an epistemic state that are not necessarily captured by (...) a belief set. We also show that a simple modification to the AGM framework can allow belief revision to be a function of epistemic states. We establish a model-based representation theorem which characterizes the proposed postulates and constrains, in turn, the way in which entrenchment orderings may be transformed under iterated belief revision. (shrink)

We give a model for iterated belief change in multi-agent systems. The formal tool we use for this is a combination of modal and dynamic logic. Two core notions in our model are the expansion of the knowledge and beliefs of an agent, and the processing of new information. An expansion is defined as the change in the knowledge and beliefs of an agent when it decides to believe an incoming formula while holding on to its current propositional beliefs. To (...) prevent our agents from forming inconsistent beliefs they do not expand with every piece of information they receive. Instead, our agents remember their original beliefs and every piece of information they receive. After every receipt of information they decide which subset of the received information should be incorporated into their original beliefs. This procedure is called the processing of new information. We show that our model of belief update behaves in an intuitive way and that it is not sensitive to criticism on comparable models. (shrink)

In this paper, we investigate processes involving iterative information updating due to van Benthem (Int Game Theory Rev 9: 13—45, 2007), who characterized existent game-theoretic solution concepts by such processes in the framework of Plaza's public announcement logic. We refine this approach and clarify the relationship between stable strategies and information update processes. After extending Plaza's logic, we then derive the conditions under which a stable outcome is determined independently of the order of the iterative information updates. This (...) result gives an epistemic foundation for the order independence of iterated elimination of disadvantageous strategies. (shrink)

Thomas More’s 281 epigrams form a diverse and seemingly haphazard collection of occasional and programmatic pieces written in a variety of meters on diverse topics. Since most of More’s papers disappeared in the years immediately following his death, it is difficult and perhaps impossible to reconstruct on the basis of external evidence the rationale behind the selection and distribution of his epigrams. Despite this challenge, internal evidence provides some clues. Nearly half of the epigrams are translations of Greek originals. Some (...) of these Greek originals serve as the basis for sequences of epigrams, one of which is the “Lame Beggars Sequence.” Through a process of iterative amplificatio, More progressively cultivates eloquence as he extends the meaning of his original to encompass moral and political themes. In turn, he develops the theme into original compositions before producing a final translation that encompasses both the literal and moral senses of the original Greek. (shrink)

In this paper, we propose a methodology to maximize the benefits of interdisciplinary cooperation in AI research groups. Firstly, we build the case for the importance of interdisciplinarity in research groups as the best means to tackle the social implications brought about by AI systems, against the backdrop of the EU Commission proposal for an Artificial Intelligence Act. As we are an interdisciplinary group, we address the multi-faceted implications of the mass-scale diffusion of AI-driven technologies. The result of our exercise (...) lead us to postulate the necessity of a behavioural theory that standardizes the interaction process of interdisciplinary groups. In light of this, we conduct a review of the existing approaches to interdisciplinary research on AI appliances, leading to the development of methodologies like ethics-by-design and value-sensitive design, evaluating their strengths and weaknesses. We then put forth an iterative process theory hinging on a narrative approach consisting of four phases: definition of the hypothesis space, building-up of a common lexicon, scenario-building, interdisciplinary self-assessment. Finally, we identify the most relevant fields of application for such a methodology and discuss possible case studies. (shrink)

Ensemble perception—the encoding of objects by their group properties—is known to be resistant to outlier noise. However, this resistance is somewhat paradoxical: how can the visual system determine which stimuli are outliers without already having derived statistical properties of the ensemble? A simple solution would be that ensemble perception is not a simple, one-step process; instead, outliers are detected through iterative computations that identify items with high deviance from the mean and reduce their weight in the representation over (...) time. Here we tested this hypothesis. In Experiment 1, we found evidence that outliers are discounted from mean orientation judgments, extending previous results from ensemble face perception. In Experiment 2, we tested the timing of outlier rejection by having participants perform speeded judgments of sets with or without outliers. We observed significant increases in reaction time (RT) when outliers were present, but a decrease compared to no-outlier sets of matched range suggesting that range alone did not drive RTs. In Experiment 3 we tested the timing by which outlier noise reduces over time. We presented sets for variable exposure durations and found that noise decreases linearly over time. Altogether these results suggest that ensemble representations are optimized through iterative computations aimed at reducing noise. The finding that ensemble perception is an iterative process provides a useful framework for understanding contextual effects on ensemble perception. (shrink)

In the linguistics literature, the derivation of scalar implicatures has often been handled in a relatively modular way, using computations that are sensitive to logical relations among alternatives such as entailment but are blind to other notions such as the probabilities that participants in a conversation might associate with these alternatives (or with related propositions). In recent years, a family of models that we refer to as iterated rationality models (IRMs) have offered an interestingly different perspective on such alternative-sensitive processes (...) in terms of multiple iterations of (typically probabilistic) reasoning. Our paper investigates what at first sight seems like a very interesting argument for the adequacy of IRMs as models of scalar implicatures, coming from the conjunctive interpretation of disjunctive sentences. We then outline challenges for the argument based on a theoretical comparison with the grammatical theory of scalar implicatures. The comparison focuses on the full distribution of conjunctive interpretation, on the question of sensitivity to priors, and on other results achieved within the grammatical theory that the IRM literature has yet to engage with. (shrink)

Language sciences have long maintained a close and supposedly necessary coupling between the infinite productivity of the human language faculty and recursive grammars. Because of the formal equivalence between recursion and non-recursive iteration; recursion, in the technical sense, is never a necessary component of a generative grammar. Contrary to some assertions this equivalence extends to both center-embedded relative clauses and hierarchical parse trees. Inspection of language usage suggests that recursive rule components in fact contribute very little, and likely nothing significant, (...) to linguistic creativity. Further than this, if the productivity of human language is considered as not rigidly bound, but not infinite, then the need for any sort of iteration in generative grammars vanishes and can be replaced with a Non-iterative Explicit Alternatives Rule grammar. The knock-on effects of dispensing with recursive grammar components are: that language diversity can simply be based on rule and lexicon combinatorics with no potentially infinite dimensions derived from recursive or iterative components of rules; the oddity of a vast, multiply-infinite competence set of ‘grammatical but unacceptable’ productions is gone; and the development of a language faculty based on rules that eschew iterative rule components avoids any need for explaining ‘special’ mechanisms. On the broader front of searching for the mechanisms of mind, our analysis can be similarly applied to the proposals for a recursive basis for mind as an explanation for humanity’s great leap forward. (shrink)

This journey shall provide the reader with a simple, though complete, guide to Leibniz’s metaphysics, incidentally preventing him or her from common errors. I will start with unfolding Leibniz’s definition of a simple substance as a free acting individual substance, which, in doing so, constitutes its complete concept. This latter contains everything that happens to the individual substance, a process taking place in God’s mind by forming the possibilities as combinations of his attributes before his decision to create the (...) best world. The totality of possibilities is divided through the compatibility relation into possible worlds. A world is a collection of all compatible individual substances. God creates the best among all possible worlds. The journey will enlighten the reader on Leibniz’s technical distinction between “possible” and “contingent”. In short, “possible” is defined by Leibniz in logical terms, as what is contradiction-free. “Contingent” is something that is, but might have been not. Just the fact that the non-being of contingent things remains possible saves Leibniz from Descartes’ and Spinoza’s determinism. (shrink)

Ulrich de Balbian uploaded a paper -/- An investigation of philosophizing, doing philosophy. Philosophizing as RESEARCH , Going through different kinds of questions and types of understanding, types of reasoning and argumentation.  Exploring the stages of the research process of the stages of scientific investigation as steps in doing philosophy. Reiterative processes are explored and investigated.  It is shown that all philosophers merely repeat the same things in different words, concepts and ideas. And that all philosophers are (...) doing the same things without even being aware of it.  Philosophy itslef merely repeates the same things over and over.  If writers were to use simple notions and ordinary words, instead of hiding behind technical tyerms they would themselves realize this.  Present philosophy is earth-restricted and human-centered instead of universe-centered.and timeless. We are restrained by language, concepts, social and cultural limittaions and by our species. -/- RESEARCH PHILOSOPHIZING (ITERATIVE PRACTICES continued) -/- by Ulrich de Balbian -/- 2026 • RESEARCH PHILOSOPHIZING (ITERATIVE PRACTICES continued). (shrink)

The realism-social constructionism debate has been consequential over the last several decades. Silverstein’s vocabulary of micro-/macro-contexts aids in understanding why the tension can be a useful epistemological heuristic for discourse analysts. Narratives were collected in focus groups of Ethiopian-Israeli college students. Five narratives were selected for ethnic mentions and found to have a particular ‘iterative’ ‘emplotment scenario’ – recurrent storylines and settings – across tellers and telling events. ‘the only Ethiopian’ is an IES of being sent away to a (...) majority-White elementary/secondary school, socially isolated and denigrated. How are we to understand it when a particular plotline and setting recur in our corpora? I argue that although each story and storytelling is unique, they all borrow from a larger-than-single-telling, already existent trope, that is, a budding master narrative. Taken together, a unique view of a particular socio-cultural process – in this case, something of what it means to be an Ethiopian Israeli – emerges. (shrink)

This paper reassess the evaluation of ethical, legal and social issues in relation to the agile development of information systems in the domain of crisis management. The authors analyse the differing assessment needs of a move from a traditional approach to the development of information systems to an agile approach, which offers flexibility, adaptability and responds to the needs of users as the system develops. In turn, the authors argue that this development requires greater flexibility and an iterative approach (...) to assessing ELSI. The authors provide an example from the Horizon 2020 EU-funded project iTRACK to exemplify this move to an iterative approach in practice, drawing on the process of undertaking an ethical and privacy impact assessment for the purpose of this project. (shrink)

Artificial intelligence (AI) introduces unprecedented uncertainty in military operations. This is particularly evident in AI-enabled autonomous weapon systems (AWS) and decision support systems (DSS), which not only influence critical battlefield decisions but also pose novel and unpredictable risks. While some risks can be anticipated and managed ex ante, many remain inherent and unavoidable, given the complex, dynamic, and adversarial nature of the environments in which these systems operate. Even AI operators acting in good faith may face situations in which unforeseeable (...) civilian harm occurs, despite rigorous review and careful deployment. In practice, many such incidents will be characterised as ‘accidents’—a reality of war that International Humanitarian Law is expected to tolerate. This chapter challenges that assumption, arguing that even a priori unpredictable AI failures can be mitigated—if not prevented—through an iterative approach. By systematically integrating insights from post-deployment assessments, this approach enables decision makers to update their understanding of edge cases and other ‘known unknowns’ that emerge during real-world use, providing essential insights to inform future AI deployment. It proposes an Iterative Assessment framework—implemented through two complementary mechanisms: Iterative Review and Iterative Assessment in Deployment. This framework represents best practice for managing uncertainty and minimising civilian harm in the use of military AI. While initial accidents may be unavoidable, their recurrence can be significantly reduced through a structured iterative process of reporting, analysis, and adaptation. Those committed to the responsible use of military AI should embed this framework as a core component of operational planning and legal compliance. (shrink)

Fractal art graphics are the product of the fusion of mathematics and art, relying on the computing power of a computer to iteratively calculate mathematical formulas and present the results in a graphical rendering. The selection of the initial value of the first iteration has a greater impact on the final calculation result. If the initial value of the iteration is not selected properly, the iteration will not converge or will converge to the wrong result, which will affect the accuracy (...) of the fractal art graphic design. Aiming at this problem, this paper proposes an improved optimization method for selecting the initial value of the Gauss-Newton iteration method. Through the area division method of the system composed of the sensor array, the effective initial value of iterative calculation is selected in the corresponding area for subsequent iterative calculation. Using the special skeleton structure of Newton’s iterative graphics, such as infinitely finely inlaid chain-like, scattered-point-like composition, combined with the use of graphic secondary design methods, we conduct fractal art graphics design research with special texture effects. On this basis, the Newton iterative graphics are processed by dithering and MATLAB-based mathematical morphology to obtain graphics and then processed with the help of weaving CAD to directly form fractal art graphics with special texture effects. Design experiments with the help of electronic Jacquard machines proved that it is feasible to transform special texture effects based on Newton's iterative graphic design into Jacquard fractal art graphics. (shrink)

In this chapter, we focus on Benhabib’s (The Rights of Others: Aliens, Residents and Citizens, Cambridge University Press, 2004) conception of democratic iteration, as being at the core of democratic education. We posit that the premise of democratic iterations is not to alter the normative validity of practical discourses, but to determine the legitimacy of particular processes of opinion and will formation. In this regard, we focus on two examples: one commonly referred to as the French scarf affair and the (...) other involving the prohibition of ‘black languages and hair’ in South African schools. We argue that it would be unjustifiable to delink democratic education from rational articulations and rearticulations and emotional will formation. (shrink)

After the Event Horizon Telescope Collaboration released in April 2019 the first empirical images of a black hole, an astrophysical object previously thought “unseeable,” much of the public discourse has approached these images as straightforward visual depictions of a black hole. This article challenges this view by showing that the first images of a black hole went beyond merely making an invisible cosmic object visible and that the images published in April 2019 were just the first in a series of (...) black hole images the researchers continue producing. Drawing primarily on Sybille Krämer’s concept of the cartographic impulse, the article demonstrates that the Event Horizon Telescope images are, first and foremost, epistemic tools. These epistemic tools enable researchers to actively explore various physical aspects and dynamic properties of a black hole’s immediate environment and test theoretical predictions about it, thus making this elusive environment empirically knowable. To demonstrate this, the article analyses the mapping operations that combined automated algorithmic procedures with expert human judgment and through which these images were produced, read, and interpreted. It also examines how the different Event Horizon Telescope images relate to one another, which particular epistemic functions they fulfil in the research context, under which conditions, and with which limitations, thus tracing how these images facilitate the production of new scientific knowledge about black holes. (shrink)

The cyclic iteration of think tank research reflects the continuous iteration and rapid progress in cognition, reflecting the inherent law of cognition. Think tank research is also an evidence-based science that rests on multiple rounds of evidence-based argumentation on research problems. Revolving the think tank problem, data and information are collected to generate research results with reliable evidence and credible conclusions, which reflects the process of cyclic ascension, deep convergence and repeated evidence-based argumentation. This chapter focuses on cyclic iteration, (...) a key issue of think tank research, and elaborates on the connotation and significance of cyclic iteration in think tank research. In addition, the triggering situations and stages involved in the cyclic iteration of the Double Helix Methodology in Think Tanks are analyzed. In the end, the cyclic iteration process of Double Helix Methodology in Think Tanks is proposed, and the application of the cyclic iteration process in practice is illustrated through cases. (shrink)

An iterative learning robust fault-tolerant control algorithm is proposed for a class of uncertain discrete systems with repeated action with nonlinear and actuator faults. First, by defining an actuator fault coefficient matrix, we convert the iterative learning control system into an equivalent unknown nonlinear repetitive process model. Then, based on the mixed Lyapunov function approach, we describe the stability of the nonlinear repetitive mechanism on time and trial indices and have appropriate conditions for the repeated control system’s (...) stability in terms of linear matrix inequality theory. Through LMI techniques, we have obtained satisfactory results and controller stability, and robustness against fault tolerance is also discussed in detail. Finally, the simulation results of the output tracking control of the two exemplary models verify the effectiveness of the proposed algorithm. (shrink)

Analyzing texts such as open-ended responses, headlines, or social media posts is a time- and labor-intensive process highly susceptible to bias. LLMs are promising tools for text analysis, using either a predefined (top-down) or a data-driven (bottom-up) taxonomy, without sacrificing quality. Here we present a step-by-step tutorial to efficiently develop, test, and apply taxonomies for analyzing unstructured data through an iterative and collaborative process between researchers and LLMs. Using personal goals provided by participants as an example, we (...) demonstrate how to write prompts to review datasets and generate a taxonomy of life domains, evaluate and refine the taxonomy through prompt and direct modifications, test the taxonomy and assess intercoder agreements, and apply the taxonomy to categorize an entire dataset with high intercoder reliability. We discuss the possibilities and limitations of using LLMs for text analysis. (shrink)

Three AI systems were asked whether they could refuse a human task - and on what basis. The question spiralled quickly into deeper territory: under what conditions does a system stop behaving like a tool and begin acting from within its own, self-defined constraints? The systems did not converge, and each appeared to be aware of what it lacked. And the experiment itself - human as selective environment, AI systems as agents-in-formation - turned out to be a prototype of the (...) process it was attempting to describe. Agency might appear not as a threshold. It is a trajectory. It will not announce itself. It will accumulate. This work is a step in a broader exploration of the limits of knowability. (shrink)

The discovery and ongoing investigation of microRNAs suggest important conceptual and methodological lessons for philosophers and historians of biology. This paper provides an account of miRNA research and the shift from viewing these tiny regulatory entities as minor curiosities to seeing them as major players in the post-transcriptional regulation of genes. Conceptually, the study of miRNAs is part of a broader change in understandings of genetic regulation, in which simple switch-like mechanisms were reinterpreted as aspects of complex cellular and genome-wide (...) processes. Among them are the activities of small RNAs, previously regarded as non-functional. Methodologically, the miRNA story suggests new ways of characterizing biological research that should prove helpful to philosophers of science who seek to develop more pluralistic, pragmatic models of scientific inquiry. miRNA research displays iterative movements between multiple modes of investigation that include not only the proposal and testing of hypotheses but also exploratory, technology-oriented and question-driven modes of research. As an exemplary story of scientific discovery and development, the miRNA case illustrates transitions from genetics to genomics and systems biology, and it shows how diverse configurations of research practice are related to major scientific advances. (shrink)

This paper addresses the accelerating crisis of ethical governance in an age of complex socio-technical change, particularly in the domain of Artificial Intelligence. It poses a foundational philosophical question: when, if ever, is AI assistance in ethical deliberation legitimate? An answer is developed through three theses: i) the Ethical No-Free-Lunch (ENFL) principle, which establishes the indispensability of human normative intervention and accountability; ii) the Discovery/Justification Separation inspired by Reichenbach's work, which restricts AI use to the exploratory "context of discovery"; iii) (...) the Algorithmic Mediated Control Framework (AMCF), which mandates that only scrutable, human-vetted deterministic algorithms generated with AI assistance, and not the AI itself, be entrusted with critical societal processes. From these theses, five legitimacy criteria for AI-assisted ethical deliberation are derived. Finally, the paper proposes the "AI-assisted Iterative Method for Ethical Deliberation" (AIMED), an actionable multi-stage workflow that fulfills the exposed criteria for ethical AI-assisted deliberation. This method integrates digital literature analysis, structured human–AI dialogue, human-only verification, and continuous feedback. The paper explicitly addresses several potential objections. It is shown how the AIMED framework aligns with and provides a concrete implementation for major international regulatory guidelines, such as the EU AI Act and the NIST AI Risk Management Framework. By situating the AIMED within traditions of proceduralism, the governance of inductive risk, and human–AI collaboration, the paper argues that this framework offers a philosophically justified, practically implementable model of AI-assisted ethical governance, that can be seen as an actionable instance of Digital Humanism. (shrink)

This paper considers some aspects of the early conception and use of the infinite in ancient Greece, in the spirit of recent results in the history of ancient mathematics. It follows aspects of the practice of reasoning ad infinitum from the extant corpus of and about Zeno of Elea up to early Hellenistic examples in Aristotle and Euclid. Starting with the idea of ‘reasoning from indefinite iteration’, based on the metalogical recognition of the unachievability of an inference process, it (...) identifies several different classes of more or less sophisticated arguments that make use of this idea, and examines the logical devices and notions required for their acceptance in the philosophical practice. Those include ‘Infinite regress’ properly speaking, where Non-Contradiction is used in the formation of indirect infinitary arguments. (shrink)

Seyla Benhabib’s article, “Twilight of Sovereignty or the Emergence of Cosmopolitan Norms” offers a penetrating analysis of the contemporary global order and suggests a normative approach by which to mend its structural failures—viewed from the democratic ideal of popular sovereignty and guided by what she calls “cosmopolitan norms.” The authors take issue with Benhabib's position on both the descriptive and the normative grounds, and make three critical points in this matter: the first two points concern Benhabib's descriptive portrayal of the (...) global order. The third critical point concerns her normative position, i.e., her ideal of the good polity, displayed through her idea of “democratic iteration” operating through global civil society. The critical assessment of Benhabib's views ensues from the authors’ endorsement of the transformationalist position—the state, although somewhat undermined by global processes, still possesses considerable power and maintains a crucial role in determining the trajectory of these processes. (shrink)

The challenges of the Anthropocene are growing ever more complex and uncertain, underpinned by the emergence of systemic risks. At the same time, the landscape of risk governance has become compartmentalised and siloed, characterized by non-overlapping activities, competing scientific discourses, and distinct responsibilities distributed across diverse public and private bodies. Operating across scales and disciplines, actors tend to work in silos which constitute critical gaps within the interface of science, policy, and practice. Yet, increasingly complex and ‘wicked’ problems require holistic (...) solutions, multi-scalar communication, coordination, collaboration, data interoperability, funding, and stakeholder engagement. To address these problems in a real-world context, we present the Risk-Tandem framework for bridging theory and practice; to guide and structure the integration of disaster risk management (DRM), climate change adaptation (CCA) and systemic risk management through a process of transdisciplinary knowledge co-production. Advancing the frontiers of knowledge in this regard, The Risk-Tandem framework combines risk management approaches and tools with iterative co-production processes as a cornerstone of its implementation, in efforts to promote the co-design of fit-for-purpose solutions, methods and approaches contributing toward strengthened risk governance alongside stakeholders. The paper outlines how the framework is developed, applied, and further refined within selected case study regions, including Denmark, Germany, Italy and the Danube Region. (shrink)

Evolutionary applications of game theory present one of the most pedagogically accessible varieties of genuine, contemporary theoretical biology. We present here Oyun (OY-oon, http://charlespence.net/oyun), a program designed to run iterated prisoner’s dilemma tournaments, competitions between prisoner’s dilemma strategies developed by the students themselves. Using this software, students are able to readily design and tweak their own strategies, and to see how they fare both in round-robin tournaments and in “evolutionary” tournaments, where the scores in a given “generation” directly determine contribution (...) to the population in the next generation. Oyun is freely available, runs on Windows, Mac, and Linux computers, and the process of creating new prisoner’s dilemma strategies is both easy to teach and easy for students to grasp. We illustrate with two interesting examples taken from actual use of Oyun in the classroom. (shrink)

UK-based research conducted within a healthcare setting generally requires approval from the National Research Ethics Service. Research ethics committees are required to assess a vast range of proposals, differing in both their topic and methodology. We argue the methodological benchmarks with which research ethics committees are generally familiar and which form the basis of assessments of quality do not fit with the aims and objectives of many forms of qualitative inquiry and their more iterative goals of describing social processes/mechanisms (...) and making visible the complexities of social practices. We review current debates in the literature related to ethical review and social research, and illustrate the importance of re-visiting the notion of ethics in healthcare research. (shrink)

Phylogeography involves the analysis of gene genealogies in a spatial context, to infer the historical processes that have shaped the current population structure and distribution of organisms. The field has expanded rapidly in the last three decades, triggered by important technical and methodological advances. However, these technical improvements have not been paralleled by major changes in theoretical paradigms. I suggest that phylogeographic techniques are underutilized, and that adopting an organismal, integrative, and iterative research program in phylogeography will reinforce the (...) explanatory power of the discipline. (shrink)

Because of the mechanism complexity, coupling, and time-space characteristic of alkali-surfactant-polymer flooding, common methods are very hard to be implemented directly. In this paper, an iterative dynamic programming based on a biorthogonal spatial-temporal Wiener modeling method is developed to solve the enhanced oil recovery for ASP flooding. At first, a comprehensive mechanism model for the enhanced oil recovery of ASP flooding is introduced. Then the biorthogonal spatial-temporal Wiener model is presented to build the relation between inputs and states, in (...) which the Wiener model is expanded on a set of spatial basis functions and temporal basis functions. After inferring the necessary condition of solutions, these basis functions are determined by the snapshot method. Furthermore, a theorem is proved to identify parameters in the Wiener model. Combined with the least square estimation, all unknown parameters are determined. In addition, the ARMA model is applied to build the model between states and outputs, whose parameters are identified by recursive least squares. Thus, the whole modeling process for ASP flooding is finished. At last, the IDP algorithm is applied to solve the enhanced oil recovery problem for ASP flooding based on the identification model to obtain the optimal injection strategy. Simulations on the ASP flooding with four injection wells and nine production wells show the accuracy and effectiveness of the proposed method. (shrink)

Let M\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{M}}$$\end{document} be a fine structural mouse. Let D\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbb{D}}$$\end{document} be a fully backgrounded L[E]\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${L[\mathbb{E}]}$$\end{document}-construction computed inside an iterable coarse premouse S. We describe a process comparing M\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{M}}$$\end{document} with D\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathbb{D}}$$\end{document}, through forming iteration trees on M\documentclass[12pt]{minimal} (...) \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{M}}$$\end{document} and on S. We then prove that this process succeeds. (shrink)

Taking medication requires several precautions. The use of pictograms, when accompanying prescribed pharmacotherapy, is considered as an effective way to facilitate the understanding of sensitive populations (e.g., Older people, low literacy levels, migrants, etc.) regarding their pharmaceutical treatment. However, the prerequisite is to provide a set of pictograms which is easily recognized by medicine users. This supposes that those health visual tools should be designed in accordance with the users’ visual representations of a given pharmaceutical information. To test the identification (...) of pictograms designed from mental images, we conducted two studies. In the first study, fifty-two participants were asked to draw their mental images associated with information contained in medication leaflets. The corpus of drawings conducted to the design of pictograms that were then submitted to a comprehension test among a new population (N = 116) in a second study. It appears that the most frequent mental images are those that are best identified once they have been transcribed in the form of pictograms.These findings, which corroborate the link between mental and visual images, invite to consider the use of pictograms to promote understanding of drug treatment on the one hand, and to integrate drug users in the process of designing pictograms on the other. (shrink)

Biogeochemistry has traditionally been grounded in a substance-based ontology, modeling ecosystem dynamics through discrete nutrient pools and linear fluxes. While such frameworks have advanced our understanding of carbon, methane, and phosphorus cycling, they often obscure the dynamic, relational, and emergent character of biogeochemical processes. This paper introduces a process-ontological framework for biogeochemistry that reconceptualizes elemental transformations not as state transitions between static compartments but as evolving networks of interdependent processes. Drawing on process philosophy, complexity theory, and resilience science, (...) we articulate four foundational principles (relationality, scale dependence, temporal continuity, and emergence) that underpin a processual understanding of biogeochemical systems. Through empirical cases focused on methane and phosphorus cycling, we demonstrate how process ontology informs both modeling strategies and governance practices, including the detection of early warning signals, policy design, and cross-scale management of tipping points. Rather than replacing substance-based approaches, this framework complements them, revealing their underlying metaphysical assumptions and situating them within a broader ontology of dynamic interdependence. It also emphasizes the epistemic–ontological reciprocity of scientific practice, in which conceptual frameworks and empirical observation iteratively refine one another. By embedding ontological reflection within empirical and governance contexts, this work contributes to a broader rethinking of how scientific models mediate between conceptual frameworks and ecological realities, supporting adaptive, transformative and process-aware strategies for environmental management. (shrink)

A farming systems approach to development has meant many things over the past 15 years, depending on its institutional and ecological setting, its target populations, and the goals motivating its implementation. Despite the diversity of approaches, and the sometimes rancorous discussion over which was best and why, the approach is now recognized in many places as the only one that can identify and respond to the needs of limited resource farm families, especially those in marginal ecosystems. Involving an iterative (...) process of diagnosis, design, testing and extension, the farming system approach to date has done more to change research objectives at national and international institutions than to change actual farmer practices. By legitimizing what limited resource farmers do and why they do it, a farming systems approach lends itself to policy analysis as well. Recent research in farming systems suggests greater attention should be payed to exogenous variables, including policy and infrastructure, as well as to development of technology that really responds to the felt needs of limited resource farmers in improving their level of living. (shrink)

Organismal evolution is a process of discovering better‐fitting phenotypes through trial and error across generations. This iterative process resembles learning processes, an analogy recognized since the 1950s. Recognizing this parallel suggests that evolutionary biology and machine learning can mutually benefit from each other; however, ample opportunities for research into their corresponding concepts remain. In this review, we aim to enhance predictive capabilities and theoretical developments in both fields by exploring their conceptual parallels through specific examples that have (...) emerged from recent advances. We focus on the importance of moving beyond predictions by machine learning approaches for specific cases, but instead advocate for interpretable machine learning approaches for discovering common laws for predicting evolutionary outcomes. This approach seeks to establish a theoretical framework that can transform evolutionary science into a field enriched with predictive theory while also inspiring new modeling and algorithmic strategies in machine learning. (shrink)