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  1. Epistemic considerations when AI answers questions for us.Johan F. Hoorn & Juliet J.-Y. Chen - manuscript
    In this position paper, we argue that careless reliance on AI to answer our questions and to judge our output is a violation of Grice’s Maxim of Quality as well as a violation of Lemoine’s legal Maxim of Innocence, performing an (unwarranted) authority fallacy, and while lacking assessment signals, committing Type II errors that result from fallacies of the inverse. What is missing in the focus on output and results of AI-generated and AI-evaluated content is, apart from paying proper tribute, (...)
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  2. Space, and not Time, Provides the Basic Structure of Memory.Sara Aronowitz & Lynn Nadel - forthcoming - In Lynn Nadel & Sara Aronowitz (eds.), Space, Time, and Memory. Oxford University Press.
    When entering an environment, animals – including humans – tend to consult their memories to determine what they know about the place. This information is useful to determine: is this place safe? And what happens next? In this chapter, we argue on both empirical and conceptual grounds that memory is largely organized by space. Spatial relations determine what is recalled and which experiences are combined in generalizations. Time does not play an analogous role. We show that space and time in (...)
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  3. The psychology of implicit knowledge.Zoe Drayson - forthcoming - In Kurt Sylvan, Ernest Sosa, Jonathan Dancy & Matthias Steup (eds.), The Blackwell Companion to Epistemology, 3rd edition. Wiley Blackwell.
    Explicit knowledge is consciously accessible to the knower: the person can introspect what it is that they know and articulate it in the form of a statement (Dummett 1991, Davies 2015, Thompson 2023). If a person possesses some knowledge which they are unable to articulate to themselves or others, this knowledge is said to be implicit rather than explicit. Standard examples of implicit knowledge include a speaker’s knowledge of language, or practical knowledge such as how to ride a bike. The (...)
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  4. Why Does AI Lie So Much? The Problem Is More Deep Rooted Than You Think.Mir H. S. Quadri - 2024 - Arkinfo Notes.
    The rapid advancements in artificial intelligence, particularly in natural language processing, have brought to light a critical challenge, i.e., the semantic grounding problem. This article explores the root causes of this issue, focusing on the limitations of connectionist models that dominate current AI research. By examining Noam Chomsky's theory of Universal Grammar and his critiques of connectionism, I highlight the fundamental differences between human language understanding and AI language generation. Introducing the concept of semantic grounding, I emphasise the need for (...)
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  5. The fragmented mind: personal and subpersonal approaches to implicit mental states.Zoe Drayson - 2023 - In J. Robert Thompson (ed.), The Routledge Handbook of Philosophy and Implicit Cognition. New York, NY: Routledge.
    In some situations, we attribute intentional mental states to a person despite their inability to articulate the contents in question: these are implicit mental states. Attributions of implicit mental states raise certain philosophical challenges related to rationality, concept possession, and privileged access. In the philosophical literature, there are two distinct strategies for addressing these challenges, depending on whether the content attributions are personal-level or subpersonal-level. This paper explores the difference between personal-level and subpersonal-level approaches to implicit mental state attribution and (...)
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  6. Practical (un)cancellability.Fabrizio Macagno - 2023 - Journal of Pragmatics 215:84-95.
    Cancellability is an essential feature of implicatures. However, its reliability has been challenged by several cases and examples in which conversational implicatures seem to be hard or even impossible to cancel. Should it then be concluded that not all implicatures are cancellable, and therefore Grice's cancellability test should be weakened or abandoned? The present paper addresses this problem by drawing a distinction between theoretical and practical cancellability, where the latter concept captures the (un)reasonableness of explicit or contextual cancellation. By analyzing (...)
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  7. Rule-following practices in a natural world.Wolfgang Huemer - 2020 - Journal of Transcendental Philosophy 1 (1):161-181.
    I address the question of whether naturalism can provide adequate means for the scientific study of rules and rule-following behavior. As the term "naturalism" is used in many different ways in the contemporary debate, I will first spell out which version of naturalism I am targeting. Then I will recall a classical argument against naturalism in a version presented by Husserl. In the main part of the paper I will sketch a conception of rule-following behavior that is influenced by Sellars (...)
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  8. 우리의 자동화 된 무의식적 행동은 우주에 대한 우리의 실제 자아와 숨겨진 진실을 보여줍니까? - '힘 대 힘-인간 행동의 숨겨진 결정 요인'에 대한 리뷰 (Power vs Force: the hidden determinants of human behavior) David Hawkins 412p (2012) (원래 판 1995) (검토 개정 2019).Michael Richard Starks - 2020 - In 지구상의 지옥에 오신 것을 환영합니다 : 아기, 기후 변화, 비트 코인, 카르텔, 중국, 민주주의, 다양성, 역학, 평등, 해커, 인권, 이슬람, 자유주의, 번영, 웹, 혼돈, 기아, 질병, 폭력, 인공 지능, 전쟁. Las Vegas, NV USA: Reality Press. pp. 270-273.
    나는 이상한 책과 특별한 사람들에, 매우 익숙하지만, 호킨스는 어떤 종류의 진술의 "진실"의 열쇠로 근육 긴장을 테스트하기위한 간단한 기술의 그의 사용으로 인해 눈에 띄는 - 즉, 테스트되는 사람이 그것을 믿는지 여부, 하지만 정말 사실 여부! 잘 알려진 것은 사람들이 이미지, 소리, 터치, 냄새, 아이디어, 사람 등 노출되는 모든 것에 대해 자동적이고 무의식적인 생리학적, 심리적 반응을 보일 것이라는 것입니다. 그래서,, 그들의 진정한 감정을 알아 내기 위해 근육 독서는 전혀 급진적이지 않다, 막대기로 물을 찾는 중 스틱으로 사용하는 달리 (더 많은 근육 독서) "초자연적 (...)
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  9. Выявить ли наше автоматизированное бессознательное поведение на наше настоящее «я» и скрытые истины о Вселенной? -- Обзор " "Сила против силы - скрытые детерминанты человеческого поведения - официальное авторитетное издание автора:” )Power vs Force--the hidden determinants of human behavior) by David Hawkins 412p (2012) (оригинальное издание 1995)(обзор пересмотрен 2019).Michael Richard Starks - 2020 - In ДОБРО ПОЖАЛОВАТЬ В АД НА НАШЕМ МИРЕ. Las Vegas, NV USA: Reality Press. pp. 247-250.
    Я очень привык к странным книгам и специальныхлюдей, но Хокинс выделяется из-за его использования простой техники для тестирования мышечного напряжения в качестве ключа к "истине" любого заявления бы то ни было, т.е., не только ли человек проходит тестирование верит, но действительно ли это так! Что хорошо известно, что люди будут показывать автоматические, бессознательные физиологические и психологические реакции на все, что они подвергаются-изображения, звуки, прикосновения, запахи, идеи, люди. Таким образом,, мышечное чтение, чтобы узнать их истинные чувства не является радикальным на всех, (...)
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  10. Werden Hominoide oder Androiden die Erde zerstören? -Eine Rezension von "Wie man einen Geist erschafft" von Ray Kurzweil (How to Create a Mind) von Ray Kurzweil (2012) (Rezension überarbeitet 2019).Michael Richard Starks - 2020 - In Willkommen in der Hölle auf Erden: Babys, Klimawandel, Bitcoin, Kartelle, China, Demokratie, Vielfalt, Dysgenie, Gleichheit, Hacker, Menschenrechte, Islam, Liberalismus, Wohlstand, Internet, Chaos, Hunger, Krankheit, Gewalt, Künstliche Intelligenz, Krieg. Reality Press. pp. 158-170.
    Vor einigen, Jahren habe ich den Punkt erreicht, an dem ich normalerweise aus dem Titel eines Buches oder zumindest aus den Kapiteltiteln erzähle, welche philosophischen Fehler gemacht werden und wie häufig. Bei nominell wissenschaftlichen Arbeiten können diese weitgehend auf bestimmte Kapitel beschränkt sein, die philosophisch werden oder versuchen, allgemeine Schlussfolgerungen über die Bedeutung oder langfristige-Bedeutung des Werkes zuziehen. Normalerweise sind die wissenschaftlichen Fakten jedoch großzügig mit philosophischem Kauderwelsch darüber, was diese Tatsachen bedeuten, verwogen. Die klaren Unterscheidungen, die Wittgenstein vor etwa (...)
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  11. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...)
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  12. Inferential Transitions.Jake Quilty-Dunn & Eric Mandelbaum - 2018 - Australasian Journal of Philosophy 96 (3):532-547.
    ABSTRACTThis paper provides a naturalistic account of inference. We posit that the core of inference is constituted by bare inferential transitions, transitions between discursive mental representations guided by rules built into the architecture of cognitive systems. In further developing the concept of BITs, we provide an account of what Boghossian [2014] calls ‘taking’—that is, the appreciation of the rule that guides an inferential transition. We argue that BITs are sufficient for implicit taking, and then, to analyse explicit taking, we posit (...)
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  13. Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
    In this article we present an advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual (...)
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  14. Tacit Representations and Artificial Intelligence: Hidden Lessons from an Embodied Perspective on Cognition.E. Spitzer - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer. pp. 425-441.
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  15. Neil Gascoigne and Tim Thornton, Tacit Knowledge, Durham: Acumen, 2013, 210 pp., £18.99 , ISBN 1844655466; £55 , ISBN 1844655458. [REVIEW]Julien Dutant - 2015 - Dialectica 69 (4):621-623.
  16. Some Epistemological Problems with the Knowledge Level in Cognitive Architectures.Antonio Lieto - 2015 - In Proceedings of AISC 2015, 12th Italian Conference on Cognitive Science, Genoa, 10-12 December 2015, Italy. NeaScience.
    This article addresses an open problem in the area of cognitive systems and architectures: namely the problem of handling (in terms of processing and reasoning capabilities) complex knowledge structures that can be at least plausibly comparable, both in terms of size and of typology of the encoded information, to the knowledge that humans process daily for executing everyday activities. Handling a huge amount of knowledge, and selectively retrieve it according to the needs emerging in different situational scenarios, is an important (...)
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  17. Attitude, Inference, Association: On the Propositional Structure of Implicit Bias.Eric Mandelbaum - 2015 - Noûs 50 (3):629-658.
    The overwhelming majority of those who theorize about implicit biases posit that these biases are caused by some sort of association. However, what exactly this claim amounts to is rarely specified. In this paper, I distinguish between different understandings of association, and I argue that the crucial senses of association for elucidating implicit bias are the cognitive structure and mental process senses. A hypothesis is subsequently derived: if associations really underpin implicit biases, then implicit biases should be modulated by counterconditioning (...)
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  18. Practical Senses.Carlotta Pavese - 2015 - Philosophers' Imprint 15.
    In their theories of know how, proponents of Intellectualism routinely appeal to ‘practical modes of presentation’. But what are practical modes of presentation? And what makes them distinctively practical? In this essay, I develop a Fregean account of practical modes of presentation: I argue that there are such things as practical senses and I give a theory of what they are. One of the challenges facing the proponent of a distinctively Fregean construal of practical modes of presentation is to provide (...)
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  19. Epistemic Evaluability and Perceptual Farce.Susanna Siegel - 2015 - In A. Raftopoulos & J. Ziembekis (eds.), Cognitive Effects on Perception: New Philosophical Perspectives.
  20. A framework for the first‑person internal sensation of visual perception in mammals and a comparable circuitry for olfactory perception in Drosophila.Kunjumon Vadakkan - 2015 - Springerplus 4 (833):1-23.
    Perception is a first-person internal sensation induced within the nervous system at the time of arrival of sensory stimuli from objects in the environment. Lack of access to the first-person properties has limited viewing perception as an emergent property and it is currently being studied using third-person observed findings from various levels. One feasible approach to understand its mechanism is to build a hypothesis for the specific conditions and required circuit features of the nodal points where the mechanistic operation of (...)
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  21. A Computational Framework for Concept Representation in Cognitive Systems and Architectures: Concepts as Heterogeneous Proxytypes.Antonio Lieto - 2014 - Proceedings of 5th International Conference on Biologically Inspired Cognitive Architectures, Boston, MIT, Pocedia Computer Science, Elsevier:1-9.
    In this paper a possible general framework for the representation of concepts in cognitive artificial systems and cognitive architectures is proposed. The framework is inspired by the so called proxytype theory of concepts and combines it with the heterogeneity approach to concept representations, according to which concepts do not constitute a unitary phenomenon. The contribution of the paper is twofold: on one hand, it aims at providing a novel theoretical hypothesis for the debate about concepts in cognitive sciences by providing (...)
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  22. (1 other version)Tacit Knowledge.Alexander Miller - 2014 - International Journal of Philosophical Studies 22 (4):630-635.
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  23. Analogical Cognition: Applications in Epistemology and the Philosophy of Mind and Language.Theodore Bach - 2012 - Philosophy Compass 7 (5):348-360.
    Analogical cognition refers to the ability to detect, process, and learn from relational similarities. The study of analogical and similarity cognition is widely considered one of the ‘success stories’ of cognitive science, exhibiting convergence across many disciplines on foundational questions. Given the centrality of analogy to mind and knowledge, it would benefit philosophers investigating topics in epistemology and the philosophies of mind and language to become familiar with empirical models of analogical cognition. The goal of this essay is to describe (...)
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  24. Nonconscious processing and a novel target for schizophrenia research.Rajendra Badgaiyan - 2012 - Open Journal of Psychiatry 2:335-339.
  25. How much of commonsense and legal reasoning is formalizable? A review of conceptual obstacles.James Franklin - 2012 - Law, Probability and Risk 11:225-245.
    Fifty years of effort in artificial intelligence (AI) and the formalization of legal reasoning have produced both successes and failures. Considerable success in organizing and displaying evidence and its interrelationships has been accompanied by failure to achieve the original ambition of AI as applied to law: fully automated legal decision-making. The obstacles to formalizing legal reasoning have proved to be the same ones that make the formalization of commonsense reasoning so difficult, and are most evident where legal reasoning has to (...)
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  26. Tacit Knowledge.Neil Gascoigne & Tim Thornton - 2012 - Routledge.
    Tacit knowledge is the form of implicit knowledge that we rely on for learning. It is invoked in a wide range of intellectual inquiries, from traditional academic subjects to more pragmatically orientated investigations into the nature and transmission of skills and expertise. Notwithstanding its apparent pervasiveness, the notion of tacit knowledge is a complex and puzzling one. What is its status as knowledge? What is its relation to explicit knowledge? What does it mean to say that knowledge is tacit? Can (...)
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  27. The social functions of explicit coherence evaluation.Hugo Mercier - 2012 - Mind and Society 11 (1):81-92.
    Coherence plays an important role in psychology. In this article, I suggest that coherence takes two main forms in humans’ cognitive system. The first belong to ‘system 1’. It relies on the degree of coherence between different representations to regulate them, without coherence being represented. By contrast other mechanisms, belonging to system 2, allow humans to represent the degree of coherence between different representations and to draw inferences from it. It is suggested that the mechanisms of explicit coherence evaluation have (...)
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  28. Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent.Marco Mirolli - 2012 - Cognitive Science 36 (5):870-895.
    Understanding the role of ‘‘representations’’ in cognitive science is a fundamental problem facing the emerging framework of embodied, situated, dynamical cognition. To make progress, I follow the approach proposed by an influential representational skeptic, Randall Beer: building artificial agents capable of minimally cognitive behaviors and assessing whether their internal states can be considered to involve representations. Hence, I operationalize the concept of representing as ‘‘standing in,’’ and I look for representations in embodied agents involved in simple categorization tasks. In a (...)
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  29. Grounding Action Representations.Arne M. Weber & Gottfried Vosgerau - 2012 - Review of Philosophy and Psychology 3 (1):53-69.
    In this paper we discuss an approach called grounded action cognition, which aims to provide a theory of the interdependencies between motor control and action-related cognitive processes, like perceiving an action or thinking about an action. The theory contrasts with traditional views in cognitive science in that it motivates an understanding of cognition as embodied, through application of Barsalou’s general idea of grounded cognition. To guide further research towards an appropriate theory of grounded action cognition we distinguish between grounding qua (...)
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  30. Knowledge-how: A unified account.Berit Brogaard - 2011 - In John Bengson & Marc A. Moffett (eds.), Knowing How: Essays on Knowledge, Mind, and Action. Oxford, England: Oxford University Press USA. pp. 136-160.
    There are two competing views of knowledge-how: Intellectualism and anti-intellectualism. According to the reductionist varieties of intellectualism defended by Jason Stanley and Timothy Williamson (2001) and Berit Brogaard (2007, 2008, 2009), knowledge-how simply reduces to knowledge-that. To a first approximation, s knows how to A iff there is a w such that s knows that w is a way to A. For example, John knows how to ride a bicycle if and only if there is a way w such that (...)
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  31. Processes Versus Representations: Cognitive Control as Emergent, Yet Componential.Eddy J. Davelaar - 2011 - Topics in Cognitive Science 3 (2):247-252.
    In this commentary, I focus on the difference between processes and representations and how this distinction relates to the question of what is controlled. Despite some views that task switching is a prototypical control process, the analysis concludes that task switching depends on the task goal representation and that control processes are there to prevent goal representations from disintegrating. Over time, these processes become obsolete, leaving behind a representation that automatically controls task performance. The distinction between processes and representations relates (...)
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  32. (1 other version)Collaborative Creation of Teaching Learning Sequences and an Atlas of Knowledgge.Nagarjuna G. - 2009 - Mathematics Teaching-Research Journal Online 3 (3):23.
    The article is about a new online resource, a collaborative portal for teachers, which publishes a network of prerequisites for teaching/learning any concept or an activity. A simple and effective method of collaboratively constructing teaching-learning sequences is presented. The special emergent properties of the dependency network and their didactic and epistemic implications are pointed. The article ends with an appeal to the global teaching community to contribute prerequisites of any subject to complete the global roadmap for an altas being built (...)
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  33. Neural-Symbolic Cognitive Reasoning.Artur D'Avila Garcez, Luis Lamb & Dov Gabbay - 2009 - New York: Springer.
    Humans are often extraordinary at performing practical reasoning. There are cases where the human computer, slow as it is, is faster than any artificial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? -/- The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and our ability to reason from what has been learned. This (...)
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  34. Explanation: Mechanism, modularity, and situated cognition.William Bechtel - 2008 - In Murat Aydede & P. Robbins (eds.), The Cambridge Handbook of Situated Cognition. Cambridge: Cambridge University Press. pp. 155--170.
  35. What the <0.70, 1.17, 0.99, 1.07> is a Symbol?Istvan S. N. Berkeley - 2008 - Minds and Machines 18 (1):93-105.
    The notion of a ‘symbol’ plays an important role in the disciplines of Philosophy, Psychology, Computer Science, and Cognitive Science. However, there is comparatively little agreement on how this notion is to be understood, either between disciplines, or even within particular disciplines. This paper does not attempt to defend some putatively ‘correct’ version of the concept of a ‘symbol.’ Rather, some terminological conventions are suggested, some constraints are proposed and a taxonomy of the kinds of issue that give rise to (...)
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  36. “Personal Knowledge At Fifty” Conference Program.Richard Gelwick - 2007 - Tradition and Discovery 34 (3):18-30.
    This address to The Polanyi Society’s June 13-15, 2008 conference at Loyola University in Chicago commemorates the fiftieth anniversary of Michael Polanyi’s publication of Personal Knowledge and considers the generative influence of Polanyi’s post-critical theory of knowledge that led to The Polany; Society, its journal Tradition & Discovery and more than 2000 books and papers on Polanyi’s philosophy.
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  37. Marketing management and Polanyi's theory of tacit knowing.Jere Moorman - 2007 - Appraisal 6.
  38. Basic semantic integration.Christopher Menzel - 2004 - Semantic Interoperability and Integration, Proceedings of Dagstuhl Seminar 04391.
    The use of highly abstract mathematical frameworks is essential for building the sort of theoretical foundation for semantic integration needed to bring it to the level of a genuine engineering discipline. At the same time, much of the work that has been done by means of these frameworks assumes a certain amount of background knowledge in mathematics that a lot of people working in ontology, even at a fairly high theoretical level, lack. The major purpose of this short paper is (...)
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  39. (1 other version)Implicit and Explicit Representation.David Kirsh - 2003 - Encyclopedia of Cognitive Science 2:478–481.
    The degree to which information is encoded explicitly in a representation is related to the computational cost of recovering or using the information. Knowledge that is implicit in a system need not be represented at all, even implicitly, if the cost of recurring it is prohibitive.
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  40. (1 other version)Implicit and Explicit Representation.David Kirsh - 2003 - In Implicit and Explicit Representation.
    The degree to which information is encoded explicitly in a representation is related to the computational cost of recovering or using the information. Knowledge that is implicit in a system need not be represented at all, even implicitly, if the cost of recovering it is prohibitive.
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  41. Belief Structures and Sequences: Relevance-Sensitive, Inconsistency-Tolerant Models for Belief Revision.Samir Chopra - 2000 - Dissertation, City University of New York
    This thesis proposes and presents two new models for belief representation and belief revision. The first model is the B-structures model which relies on a notion of partial language splitting and tolerates some amount of inconsistency while retaining classical logic. The model preserves an agent's ability to answer queries in a coherent way using Belnap's four-valued logic. Axioms analogous to the AGM axioms hold for this new model. The distinction between implicit and explicit beliefs is represented and psychologically plausible, computationally (...)
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  42. Descartes' Natural Philosophy.Stephen Gaukroger, John Andrew Schuster & John Sutton (eds.) - 2000 - New York: Routledge.
    The most comprehensive collection of essays on Descartes' scientific writings ever published, this volume offers a detailed reassessment of Descartes' scientific work and its bearing on his philosophy. The 35 essays, written by some of the world's leading scholars, cover topics as diverse as optics, cosmology and medicine, and will be of vital interest to all historians of philosophy or science.
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  43. Practices, practical holism, and background practices.David G. Stern - 2000 - In Mark Wrathall & Jeff Malpas (eds.), Heidegger, Coping, and Cognitive Science: Essays in Honor of Hubert L. Dreyfus, Volume 2. MIT Press.
  44. (1 other version)The body and the brain.John Sutton - 2000 - In Stephen Gaukroger, John Andrew Schuster & John Sutton (eds.), Descartes' Natural Philosophy. New York: Routledge. pp. 697--722.
    Does self?knowledge help? A rationalist, presumably, thinks that it does: both that self?knowledge is possible and that, if gained through appropriate channels, it is desirable. Descartes notoriously claimed that, with appropriate methods of enquiry, each of his readers could become an expert on herself or himself. As well as the direct, first?person knowledge of self to which we are led in the Meditationes , we can also seek knowledge of our own bodies, and of the union of our minds and (...)
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  45. Individuals, properties, and the explicitness hierarchy.Alex Barber - 1999 - Behavioral and Brain Sciences 22 (5):756-757.
    The scenario used by Dienes & Perner to show that individual representation can be implicit when property representation is explicit can be adapted to show that property representation can be implicit when individual representation is explicit. So there is no hierarchy of explicitness, contrary to their claim. There is a reading of the “implicit/explicit” distinction that does appear to exhibit an asymmetry parallel to that alleged to hold between individual and property. But this is not a distinction Dienes & Perner (...)
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  46. Implicit representation, mental states, and mental processes.Richard A. Carlson - 1999 - Behavioral and Brain Sciences 22 (5):761-762.
    Dienes & Perner's target article constitutes a significant advance in thinking about implicit knowledge. However, it largely neglects processing details and thus the time scale of mental states realizing propositional attitudes. Considering real-time processing raises questions about the possible brevity of implicit representation, the nature of processes that generate explicit knowledge, and the points of view from which knowledge may be represented. Understanding the propositional attitude analysis in terms of momentary mental states points the way toward answering these questions.
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  47. Explicitness and predication: A risky linkage.Andrew Carstairs-McCarthy - 1999 - Behavioral and Brain Sciences 22 (5):762-763.
  48. Deconstructing RTK: How to explicate a theory of implicit knowledge.Josef Perner & Zoltan Dienes - 1999 - Behavioral and Brain Sciences 22 (5):790-801.
    In this response, we start from first principles, building up our theory to show more precisely what assumptions we do and do not make about the representational nature of implicit and explicit knowledge (in contrast to the target article, where we started our exposition with a description of a fully fledged representational theory of knowledge (RTK). Along the way, we indicate how our analysis does not rely on linguistic representations but it implies that implicit knowledge is causally efficacious; we discuss (...)
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  49. Situated cognition.Peter Slezak - 1999 - Perspectives on Cognitive Science.
    The self-advertising, at least, suggests that 'situated cognition' involves the most fundamental conceptual re-organization in AI and cognitive science, even appearing to deny that cognition is to be explained by mental representations. In their defence of the orthodox symbolic representational theory, A. Vera and H. Simon have rebutted many of these claims, but they overlook an important reading of situated arguments which may, after all, involve a revolutionary insight. I show that the whole debate turns on puzzles familiar from the (...)
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  50. (1 other version)Michael Polanyi and Lucian Blaga as philosophers of knowledge.Angela Botez - 1998 - Appraisal 2.
    Polanyi and Blaga are two centennial philosophers who could be compared. They both are philosophers who have abandoned the attempt to analyze science as the form of culture capable of complete objectivity and the language solely in terms of its referential force, to make representational knowledge impersonal and to split fact from value.
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