The study aims to help characterize the sort of structures about which people can acquire unconscious knowledge. It is already well established that people can implicitly learn n-grams and also repetition patterns. We explore the acquisition of unconscious structural knowledge of symmetry. Chinese Tang poetry uses a specific sort of mirror symmetry, an inversion rule with respect to the tones of characters in successive lines of verse. We show, using artificial poetry to control both n-gram structure and (...) repetition patterns, that people can implicitly learn to discriminate inversions from non-inversions, presenting a challenge to existing models of implicit learning. (shrink)

We investigated the implicit learning of a linguistically relevant variable in a natural language context. Trial by trial subjective measures indicated that exposure to a form–animacy regularity led to unconscious knowledge of that regularity. Under the same conditions, people did not learn about another form–meaning regularity when a linguistically arbitrary variable was used instead of animacy. Implicit learning is constrained to acquire unconscious knowledge about features with high prior probabilities of being relevant in that domain.

Recently, interest has surged in similarity-based epistemologies of possibility. However, it has been pointed out that the notion of ‘relevant similarity’ is not properly developed in this literature. In this paper, I look at the research done in the field of analogical reasoning, where we find that one of the most promising ways of capturing relevance in similarity reasoning is by relying on the predictive analogy similarity relation. This takes relevant similarity to be based on shared properties that have (...) class='Hi'>structural relations to the property of interest. I argue that if we base our epistemology of possibility on similarity reasoning on the predictive analogy similarity relation, we require prior knowledge of the specifics of these structural relations. I discuss a number of possible responses to this on behalf of the similarity theorists given their methodological approach to the epistemology of modality more generally. They could either opt for making explicit the metaphysics underlying these structural relations, in which case they need to spell out how we can come to know these relations. Or they could opt for developing a theory that explains why we do not need to have explicit knowledge of these structural relations; for example by suggesting that we make use of epistemic shortcuts. (shrink)

The time course of different metacognitive experiences of knowledge was investigated using artificial grammar learning. Experiment 1 revealed that when participants are aware of the basis of their judgments decisions are made most rapidly, followed by decisions made with conscious judgment but without conscious knowledge of underlying structure , and guess responses were made most slowly, even when controlling for differences in confidence and accuracy. In experiment 2, short response deadlines decreased the accuracy of unconscious but not conscious (...) structural knowledge. Conversely, the deadline decreased the proportion of conscious structural knowledge in favour of guessing. Unconscious structural knowledge can be applied rapidly but becomes more reliable with additional metacognitive processing time whereas conscious structural knowledge is an all-or-nothing response that cannot always be applied rapidly. These dissociations corroborate quite separate theories of recognition and metacognition. (shrink)

The effectiveness of Large Language Models (LLMs) in legal reasoning is often limited due to the unique legal terminologies and the necessity for highly specialized knowledge. These limitations highlight the need for high-quality data tailored for complex legal reasoning tasks. This paper introduces LegalSemi, a benchmark specifically curated for legal scenario analysis. LegalSemi comprises 54 legal scenarios, each rigorously annotated by legal experts, based on the comprehensive IRAC (Issue, Rule, Application, Conclusion) framework from Malaysian Contract Law. In addition, LegalSemi (...) is accompanied by a structured knowledge base (SKE). A series of experiments were conducted to assess the usefulness of LegalSemi for IRAC analysis. The experimental results demonstrate the effectiveness of incorporating the SKE for issue identification, rule retrieval, application and conclusion generation using four different LLMs. (shrink)

1 Knowledge and Justification This book is an investigation of one central problem which arises in the attempt to give a philosophical account of empirical...

Contemporary architecture is increasingly grounded in science and mathematics. Architectural discourse has shifted radically from the sometimes disorienting Derridean deconstruction, to engaging scientific terms such as fractals, chaos, complexity, nonlinearity, and evolving systems. That's where the architectural action is -- at least for cutting-edge architects and thinkers -- and every practicing architect and student needs to become conversant with these terms and know what they mean. Unfortunately, the vast majority of architecture faculty are unprepared to explain them to students, not (...) having had a scientific education themselves. Here is an architecture book by an architect/scientist, just in time to help architects in the new millennium. Alexander discusses many of the scientific terms arising in cutting-edge architecture, and explains them to those who don't have scientific training or advanced mathematical knowledge. We find discussions of the evolution of forms; the importance of process in design; iteration; genetic algorithms; sequences of transformations; different levels of scale (i.e. fractals); etc. They are explained here by an architect who is also a scientist, because he wants to change the way architects think and build. Alexander is not merely popularizing other scientists' results and making them accessible to architects: he is in fact presenting new and original scientific work that ties many of these concepts together in a way that will be useful to architects. (shrink)

How a group G can know that p has been the subject of much investigation in social epistemology in recent years. This paper clarifies and defends a form of non-supervenient, non-summative group knowledge: G can know that p even if none of the members of G knows that p, and whether or not G knows that p does not locally supervene on the mental states of the members of G. Instead, we argue that what is central to G knowing (...) that p is whether G has an epistemic structure that is functioning appropriately in accord with the action-related purposes of the group, and this structure may include non-agential elements such as devices that retain or process information. We argue that recent objections to non-summative group knowledge given by Jennifer Lackey do not in fact succeed in undermining the view, but do help to clarify the nature of non-summative group knowledge. The main upshot of our response to Lackey’s objections is that groups put their knowledge into action in ways that often differ from how individuals do so, and social epistemologists should be careful to notice these differences, especially insofar as groups often structure themselves by employing various epistemically-relevant devices. (shrink)

Elizabeth Anscombe characterised practical knowledge as knowledge ‘in intention’. As Anscombe recognised, accepting this view involves rejecting certain basic orthodox epistemological assumptions. But even once this is done, a challenge remains for a conception of practical knowledge as knowledge ‘in intention’. For while practical knowledge would appear to be a kind of propositional knowledge, intentions would appear to be a kind of non-propositional attitude. I call this the ‘Structural Challenge’ for an intention-based account (...) of practical knowledge. After rejecting two suggested responses – one which views intentions as propositional attitudes; one which views practical knowledge as non-propositional knowledge – I offer my own solution by showing how simply having and carrying out an intention to φ will ordinarily meet a plausible neutral condition on propositional knowledge. Knowing a fact will in general involve being mentally related to it via a successful exercise of relevant concepts. The account I develop turns on viewing a person’s carrying out an intention to φ as their constituting the fact that they are φ-ing, through a practical exercise of their concept of φ-ing. The resulting account sheds light both on the analogies, and on the crucial formal differences, between practical and theoretical knowledge. (shrink)

Awareness structures by Fagin, Halpern (Artif Intell 34:39–76, 1988) (FH) feature a syntactic awareness correspondence and accessibility relations modeling implicit knowledge. They are a flexible model of unawareness, and best interpreted from an outside modeler’s perspective. Unawareness structures by Heifetz et al. (J Econ Theory, 130:78–94, 2006, Games Econ Behav 62:305–324, 2008) (HMS) model awareness by a lattice of state spaces and explicit knowledge via possibility correspondences. Sublattices thereof can be interpreted as subjective views of agents. Open questions (...) include (1) how implicit knowledge can be defined in HMS structures, and (2) in which way FH structures can be extended to model the agents’ subjective views. In this paper, we address (1) by defining implicit knowledge such that it is consistent with explicit knowledge in HMS models. We also introduce a variant of HMS models that instead of explicit knowledge, takes implicit knowledge and awareness as primitives. Further, we address (2) by introducing a category of FH models that are modally equivalent relative to sublanguages and can be interpreted as agents’ subjective views depending on their awareness. These constructions allow us to show an equivalence between HMS and FH models. As a corollary, we obtain soundness and completeness of HMS models with respect to the Logic of Propositional Awareness, based on a language featuring _both_ implicit and explicit knowledge. (shrink)

Robert C. Stalnaker presents a set of essays on the structure of inquiry. First he focuses on the concepts of knowledge, belief, and partial belief, and on the rules and procedures we ought to use to determine what to believe. Then he explores the relations between conditionals and causal and explanatory concepts.

I argue that there is a cognition condition on intention and intentional action. If an agent is doing A intentionally, she has knowledge in intention that he is doing A. If an agent intends to do A, she has knowledge in intention that she is going to do A. In both cases, the agent has knowledge of eventual success, in this sense: she knows that it will be no accident if she ends up having done A. In (...) both cases, the agent’s knowledge is of what is happening, or what is going to happen, in the world; it is not knowledge merely of her state of mind. This knowledge is practical: it the cause of what it understands; without it what is happening, or what is going to happen, is not an intentional action, and any practical thought of the agent’s about what is happening, or what is going to happen, does not hit the heights of intention. I demonstrate that famous examples (from Davidson and Bratman) purporting to show that the cognition condition should be rejected (or its content or scope weakened) are ineffective, because they trade on confusions about the different kinds of failure to which intentional action may be susceptible, confusions remedied via reflection on the structure of intentional action. I show that the cognition condition is grounded not in reflection about the directions of fit and guidance of different kinds of mental states, nor in the indicative content of linguistic expressions of intention, but in the calculative and temporal structure of intentional action itself. (shrink)

Given a controversial issue, argument mining from texts in natural language is extremely challenging: besides linguistic aspects, domain knowledge is often required together with appropriate forms of inferences to identify arguments. Via the analysis of various corpora, this contribution explores the types of knowledge that are required to develop an efficient argument mining system. We show that the Qualia structure of the Generative Lexicon with some extensions and a specific interpretation has some expressive capabilities which are appropriate for (...) this task. (shrink)

Having scandalous unethical research practices in the mid and late 20th century, study protocols of biomedical research reviewed by the Ethics Committee (EC) has become the accepted international standard. The Declaration of Helsinki uniformly requires that all biomedical research involving human participants, including research on identifiable human material or data, should be approved by the EC. Today, concerns over the quality of the EC functions worldwide. There are research globally in this regard but no data are available from Bangladesh. Hence, (...) we conducted a questionnaire based pilot study on knowledge and attitude of EC members on bioethics and structure & function of EC in Bangladesh. (shrink)

As clinical ethics consultants move toward professionalization, the process of certifying individual consultants or accrediting programs will be discussed and debated. With certification, some entity must be established or ordained to oversee the standards and procedures. If the process evolves like other professions, it seems plausible that it will eventually include a written examination to evaluate the core knowledge competencies that individual practitioners should possess to meet peer practice standards. The American Society for Bioethics and Humanities has published core (...) knowledge competencies for many years that are accepted by experts as the prevailing standard. Probably any written examination will be based upon the ASBH core knowledge competencies. However, much remains to be done before any examination may be offered. In particular, it seems likely that a recognized examining board must create and validate examination questions and structure the examination so as to establish meaningful, defensible parameters after dealing with such challenging questions as: Should the certifying examination be multiple choice or short-answer essay? How should the test be graded? What should the pass rate be? How may the examination be best administered? To advance the field of health care ethics consultation, thought leaders should start to focus on the written examination possibilities, to date unaddressed carefully in the literature. Examination models—both objective and written—must be explored as a viable strategy about how the field of health care ethics consultations can grow toward professionalization. (shrink)

Expert knowledge - a concept associated with Ryle’s distinction of knowledgethat and knowledge-how - functions in distinct areas of knowledge and social expertise. Consisting of both propositional (declarative) and procedural (instrumental) knowledge, expertise is performative in its essence. It depends not only on expert’s experience and cognitive competences, but also on his or her social and institutional position. The paper considers the role of heuristic and intuitional abilities, including particular experts’ cognitive biases, as the vital and (...) indispensable part of expertise. On the basis of selected managerial and juridical examples (procedures, standards, norms and institutional regulations) it analyzes the epistemological issues: the autonomy versus dependence of expert knowledge as well as the influence of social-cognitive circumstances on expertise. (shrink)

This account of the conflict between phrenologists and anti-phrenologists in early nineteenth-century Edinburgh is offered as a case study in the sociological explanation of intellectual activity. The historiographical value and propriety of a sociological approach to ideas is defended against accounts which assume the autonomy of knowledge. By attending to the social context of the debate and the functions of ideas in that context one may construct an explanation of why the conflict took the course it did.

This essay examines the impact of the structural reform of the Argentine economy on the country’s management knowledge industry, in terms of the Marxian distinction between the economic base and the superstructure of capitalist society. By reconstructing the micro foundations of the process of knowledge creation, I explain how certain changes at the level of the economic base influenced the type of knowledge generated by Argentine scholars.

In this paper we propose an informal exposition of the structure approach in the philosophy of science. Scientific knowledge is here considered as a collection of scientific theories. Each scientific theory has logico-linguistic, model-representing, pragmatic-procedural, and problem-heuristical subsystems and a subsystem of ties. The pivotal methodological concept for the exact description of these subsystems is the named set. We also outline the possibility of applying the structure-nominative approach to certain problems in the philosophy of science.

The aim of the study is to contribute to a better understanding of some aspects of the structure of biological knowledge and to make clearer to what extent the methods of reasoning may be useful in this field when only qualitative information is available. A fragment of biological knowledge (theory of cell motility) is analysed from the logico-methodological point of view as a coherent system and the possibility of its formal representation is investigated. The analysis is based on (...) distinguishing the main objects and their features (attributes) of which a given piece of knowledge is composed and on the values which these features may display. The features are interconnected by relations (in which various number of arguments appear) and these relations constitute the main (general, higher level) laws of a given fragment of knowledge (theory). Values of attributes are also mutually connected and these relations correspond to the detailed (lower level) laws. A computer system (in which Prolog language was used) enables to perform inference operations of progressive as well as regressive type. The main categories of reasoning procedures are described and illustrated by examples, namely a) search for conclusions which may be confronted with the actual knowledge in order to verify the system as a whole, b) formation of working hypotheses in the process of their empirical verification and explanation of facts and laws. The problem of development and modification of the system is also discussed. (shrink)

There are several approaches implementing reasoning based on conditional knowledge bases, one of the most popular being System Z (Pearl, Proceedings of the 3rd conference on theoretical aspects of reasoning about knowledge, TARK ’90, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 121–135, 1990). We look at ranking functions (Spohn, The Laws of Belief: Ranking Theory and Its Philosophical Applications, Oxford University Press, Oxford, 2012) in general, conditional structures and c-representations (Kern-Isberner, Conditionals in Nonmonotonic Reasoning and Belief (...) Revision: Considering Conditionals as Agents, vol. 2087 of LNCS, Springer, Berlin, 2001) in order to examine the reasoning strength of the different approaches by learning which of the known calculi of nonmonotonic reasoning (System P and R) and Direct Inference are applicable to these inference relations. Furthermore we use the recently proposed Enforcement-postulate (Kern-Isberner and Krümpelmann, Proceedings of the 22nd international joint conference on artificial intelligence, vol. 2, IJCAI’11, AAAI Press, pp. 937–942, 2011) to show dependencies between these approaches. (shrink)

How should nursing knowledge advance? This exploration contextualizes its evolution past and present. In addressing how it evolved in the past, a probable historical evolution of its development draws on the perspectives of Frank & Gills's World System Theory, Kuhn's treatise on Scientific Revolutions, and Foucault's notions of Discontinuities in scientific knowledge development. By describing plausible scenarios of how nursing knowledge evolved, I create a case for why nursing knowledge developers should adopt a post‐structural stance (...) in prioritizing their research agenda(s). Further, by adopting a post‐structural stance, I create a case on how nurses can advance their disciplinary knowledge using an engaging post‐colonial strategy. Given an interrupted history caused by influence(s) constraining nursing's knowledge development by power structures external, and internal, to nursing, knowledge development can evolve in the future by drawing on post‐structural interpretation, and post‐colonial strategy. The post‐structural writings of Deleuze & Guattari's understanding of ‘Nomadology’ as a subtle means to resist being constrained by existing knowledge development structures, might be a useful stance to understanding the urgency of why nursing knowledge should advance addressing the structural influences on its development. Furthermore, Bhabha's post‐colonial elucidation of ‘Hybridity’ as an equally discreet means to change the culture of those constraining structures is an appropriate strategy to enact how nursing knowledge developers can engage with existing power structures, and simultaneously influence that engagement. Taken together, ‘post‐structural stance’ and ‘post‐colonial strategy’ can refocus nursing scholarship to learn from its past, in order to develop relevant disciplinary knowledge in its future. (shrink)

Information-seeking interactions in multi-agent systems are required for situations in which there exists an expert agent that has vast knowledge about some topic, and there are other agents (questioners or clients) that lack and need information regarding that topic. In this work, we propose a strategy for automatic knowledge acquisition in an information-seeking setting in which agents use a structured argumentation formalism for knowledge representation and reasoning. In our approach, the client conceives the other agent as an (...) expert in a particular domain and is committed to believe in the expert’s qualified opinion about a given query. The client’s goal is to ask questions and acquire knowledge until it is able to conclude the same as the expert about the initial query. On the other hand, the expert’s goal is to provide just the necessary information to help the client understand its opinion. Since the client could have previous knowledge in conflict with the information acquired from the expert agent, and given that its goal is to accept the expert’s position, the client may need to adapt its previous knowledge. The operational semantics for the client-expert interaction will be defined in terms of a transition system. This semantics will be used to formally prove that, once the client-expert interaction finishes, the client will have the same assessment the expert has about the performed query. (shrink)

The article analyzes the guiding ideas behind the Baroque concept of universalscience. Based on the distinction between intuitive knowledge and propositionalknowledge, the Baroque project of universal science is characterized asa propositional and categorical form of knowledge aimed at encompassing thetotality of things. In this sense, the achievements of the 16th and 17th centuriescomplement each other insofar as the former undertook a process of collection,upon which the latter would later reflect from a logical and epistemologicalperspective. Thus, encyclopedic or universal (...) knowledge is organized both deductively and topically, a task founded on a series of key assumptions, namely:the acceptance of a total ontological structure, confidence in the cognitive powerof human reason, the “cosmic” or “well-ordered” nature of the world, theinfinite—yet confined—perfectibility of our knowledge, and the possibility ofgrounding the universality of science in some form of calculation or algorithm.Finally, the pursuit of universal science in the 16th and 17th centuries finds itsanthropological basis in a new way of perceiving and conceptualizing both theworld and our access to it, within a context of profound transformations. (shrink)

Ontic structural realism constitutes a promising take on scientific realism, one that avoids the well‐known issues that realist stances have with underdetermination and theory change. In its most radical versions, ontic structural realism proposes a type of eliminativism about theoretical entities, ascribing ontological commitment only to the structures, and not to the objects appearing in our theories. More moderate versions of ontic structural realism have also been proposed, allowing for ‘thin’ objects in the ontology. This work connects (...) these takes on structural realism with the independent notion that there are two categorically different kinds of scientific theories, namely those that deal with interactions and those that deal with structural constraints – what are known as interaction and framework theories, respectively. By taking this classification seriously, one can arrive at a selective version of ontic structural realism which is better adapted to our scientific knowledge, in which eliminativist ontic structural realism constitutes a natural fit to framework theories, whereas the moderate version is connected to interaction theories. (shrink)

This book aims to synthesize different directions in knowledge studies into a unified theory of knowledge and knowledge processes. It explicates important relations between knowledge and information. It provides the readers with understanding of the essence and structure of knowledge, explicating operations and process that are based on knowledge and vital for society. The book also highlights how the theory of knowledge paves the way for more advanced design and utilization of computers and (...) networks. (shrink)

Professor Pandit, working among the admirable group of philosophers at the University of Delhi, has written a fundamental criticism and a constructive re-interpretation of all that has been preserved as serious epistemological and methodological reflections on the sciences in modern Western philosoph- from the times of Galileo, Newton, Descartes and Leibniz to those of Russell and Wittgenstein, Carnap and Popper, and, we need hardly add, onward to the troubling relativisms and reconstructions of historical epistemologies in the works of Hanson, Kuhn, (...) Lakatos and Feyerabend. His themes are intrigu ing, set forth as they are with masterly case studies of physics and the life sciences, and within an original conceptual framework for philosophical analysis of the processes, functions, and structures of scientific knowing. Pandit's contributions deserve thoughtful examination. For our part, we wish to point to some among them: (1) an interactive articulation of subjective and objective factors of both problems and theories in the course of scientific development; (2) a striking contrast between the explanatory power of a scientific theory and its 'resolving power', i. e. (shrink)

There are various approaches to ontology metamodelling, and the notion of biologically inspired modular knowledge representation systems can provide insight in the workings of such phenomena as emergent properties of network structures. What is more relevant from knowledge engineering standpoint, such approach could provide innovation and enhancement of the level of expression as well as overall functionality of modular ontologies. To do so, one needs to find biological structures that would be the basis for modularity on different levels (...) of hierarchy within the artificial system. Network analysis tools as well as systems biology and biocomputing provide a framework for research in this field. (shrink)

This book explains exactly what human knowledge is. The key concepts in this book are structures and algorithms, i.e., what the readers “see” and how they make use of what they see. Thus in comparison with some other books on the philosophy of science, which employ a syntactic approach, the author’s approach is model theoretic or structural. Properly understood, it extends the current art and science of mathematical modeling to all fields of knowledge. The link between structure (...) and algorithms is mathematics. But viewing “mathematics” as such a link is not exactly what readers most likely learned in school; thus, the task of this book is to explain what “mathematics” should actually mean. Chapter 1, an introductory essay, presents a general analysis of structures, algorithms and how they are to be linked. Several examples from the natural and social sciences, and from the history of knowledge, are provided in Chapters 2–6. In turn, Chapters 7 and 8 extend the analysis to include language and the mind. Structures are what the readers see. And, as abstract cultural objects, they can almost always be seen in many different ways. But certain structures, such as natural numbers and the basic theory of grammar, seem to have an absolute character. Any theory of knowledge grounded in human culture must explain how this is possible. The author’s analysis of this cultural invariance, combining insights from evolutionary theory and neuroscience, is presented in the book’s closing chapter. The book will be of interest to researchers, students and those outside academia who seek a deeper understanding of knowledge in our present-day society. (shrink)

Calhoun is interviewed regarding the relationship of his work on the university to his other research interests. Calhoun elaborates on his hope for a debate over transformations in the structure of the university that is much more sensitive to the public role universities play and the importance of the collective goods they create. In the process he articulates the possibilities for an institutional analysis of the university that meets scholarly standards of knowledge production while remaining engaged with central issues (...) that arise out of institutional transformation. By situating universities in relationship with the public sphere, Calhoun provides a basis for debates about the transformation of the university to overcome the structured and structuring dispositions of the participants, while remaining grounded in social and historical analysis-an approach that can be considered an alternative public sociology. (shrink)

Most of this work is concerned with two theories that underlie cognitive science; theories which I call "the representational theory of intentionality" and "the computational theory of cognition" . While the representational theory of intentionality asserts that mental states are about the world in virtue of a representation relation between the world and the state, the computational theory of cognition asserts that humans and others perform cognitive tasks by computing functions on these representations. CTC draws upon a rich analogy between (...) the mind and digital computers, portraying cognizers as receiving input and generating outputs . ;Since researchers within cognitive science--especially within cognitive psychology, computer science, and philosophy of mind--share a common theoretic background in their adherence to the combination of RTI and CTC, what I call "computationalism" most of the work done in philosophy of mind has been aimed at either refuting or further articulating these two theories. This work is strongly within that tradition. ;RTI and CTC combine to create an explanatory framework for explanation in cognitive science. In this work, I seek to delineate the exact structure of this framework, to determine its components and their overall relationships. In my mind, this involves making implicit aspects of computational explanation explicit, providing an overall rationale for the various components and their relationships, and defending that rationale against criticism. ;In particular, the project of this work is to argue that computationalist explanations of cognition within cognitive science need to make appeals to both representation and knowledge; to distinguish the respective roles of knowledge and of representation in an overall picture of computational explanations, and to develop and argue for definitions of representation and knowledge that would allow those concepts to play their respective roles within computational explanations in cognitive science. ;The first half of this work , therefore, is devoted to theories of representation, especially to the need for, and role of representation in computational explanations. The first half of the work culminates in chapter three with a definition of representation and a picture of the structure of computational explanations. The second half of the project then becomes to generate a definition of knowledge that defines knowledge in non-epistemic language amenable to computationalism and that carries the epistemic burdens placed upon knowledge by its use in computational explanations, as well as to offer a limited defence of that definition within the framework of traditional epistemology. (shrink)

The Disintegration of Meaning: Structural Objectivity and the Epistemic Crisis of Ultra-Specialized Science -/- This preprint offers a structural diagnosis of the contemporary crisis of scientific objectivity in the context of hyper-specialized epistemic regimes. Rather than attributing the erosion of trust in science to sociological factors alone, the article reframes the issue as an ontological and organizational disjunction between epistemic authority and intersubjective intelligibility. -/- Drawing on philosophy of science, structural realism, and science and technology studies (STS), (...) it argues that objectivity is no longer tenable as a procedural or representational ideal. Instead, it introduces a new framework centered on *epistemic regimes*, *ontogenetic articulation*, and *structural intelligibility*, proposing that science must be understood as the collective articulation of a shared real. -/- This work aims to contribute to the theoretical reconstruction of objectivity beyond relativism and technocracy, by reestablishing the role of intentional transparency, cognitive openness, and plural rationality in the structure of scientific knowledge. -/- Preprint submitted to _Foundations of Science_ on May 30, 2025. (shrink)

Structured argumentation systems, and their implementation, represent an important research subject in the area of Knowledge Representation and Reasoning. Structured argumentation advances over abstract argumentation frameworks by providing the internal construction of the arguments that are usually defined by a set of (strict and defeasible) rules. By considering the structure of arguments, it becomes possible to analyze reasons for and against a conclusion, and the warrant status of such a claim in the context of a knowledge base represents (...) the main output of a dialectical process. Computing such statuses is a costly process, and any update to the knowledge base could potentially have a huge impact if done naively. In this work, we investigate the case of updates consisting of both additions and removals of pieces of knowledge in the Defeasible Logic Programming (DeLP) framework, first analyzing the complexity of the problem and then identifying conditions under which we can avoid unnecessary computations—central to this is the development of structures (e.g. graphs) to keep track of which results can potentially be affected by a given update. We introduce a technique for the incremental computation of the warrant statuses of conclusions in DeLP knowledge bases that evolve due to the application of (sets of) updates. We present the results of a thorough experimental evaluation showing that our incremental approach yields significantly faster running times in practice, as well as overall fewer recomputations, even in the case of sets of updates performed simultaneously. (shrink)

Legal information retrieval is in need of the provision of legal knowledge for the improvement of search strategies. For this purpose, the LOIS project is concerned with the construction of a multilingual WordNet for cross-lingual information retrieval in the legal domain. In this article, we set out how a hybrid approach, featuring lexically and legally grounded conceptual representations, can fit the cross-lingual information retrieval needs of both legal professionals and laymen.

This paper has five theses, which are intended to address the claims in Jerry Fodor's paper. (1) The question arises of the relation between the philosophical theory of concepts and epistemology. Neither is explanatorily prior to the other. Rather, each relies implicitly on distinctions drawn from the other. To explain what makes something knowledge, we need distinctions drawn from the theory of concepts. To explain the attitudes mentioned in a theory of concepts, we need to use the notion of (...) knowledge. (2) Concepts can have a normative dimension without their nature being interpretation‐dependent, and without their nature being mind‐dependent. The normative dimension traces back instead to the role of truth as a constitutive aim of judgement. (3) Conceptual combination is to be explained at the level of reference and semantic value. When we respect this fact, there is no difficulty in explaining compositionality for epistemically‐constrained concepts. (4) Epistemically‐constrained theories of concepts are committed to the applicability of the notion of the a priori. They are not committed to the applicability of the notion of analyticity, where this is construed as truth purely in virtue of meaning or the identity of concepts. (5) Possession of a concept has causal‐explanatory powers, whether given by a possession condition in the form presented in A Study of Concepts, or by possession of an implicit conception. A possession‐condition theory of concepts need not be a form of dispositionalism. (shrink)

We examine recent work in cognitive neuroscience that investigates brain networks. Brain networks are characterized by the ways in which brain regions are functionally and anatomically connected to one another. Cognitive neuroscientists use various noninvasive techniques (e.g., fMRI) to investigate these networks. They represent them formally as graphs. And they use various graph theoretic techniques to analyze them further. We distinguish between knowledge of the graph theoretic structure of such networks (structural knowledge) and knowledge of what (...) instantiates that structure (nonstructural knowledge). And we argue that this work provides structural knowledge of brain networks. We explore the significance of this conclusion for the scientific realism debate. We argue that our conclusion should not be understood as an instance of a global structural realist claim regarding the structure of the unobservable part of the world, but instead, as a local structural realist attitude towards brain networks in particular. And we argue that various local approaches to the realism debate, i.e., approaches that restrict realist commitments to particular theories and/or entities, are problematic insofar as they don't allow for the possibility of such a local structural realist attitude. (shrink)