Results for 'Knowledge representation'

999 found
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  1.  23
    Design Knowledge Representation: An Ontological Perspective.Emilio M. Sanfilippo, Claudio Masolo & Daniele Porello - 2015 - In Proceedings of the 1st Workshop on Artificial Intelligence and Design, {A} workshop of the {XIV} International Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), Ferrara, Italy, September 22, 2015. pp. 41-54.
    We present a preliminary high-level formal theory, grounded on knowledge representation techniques and foundational ontologies, for the uniform and integrated representation of the different kinds of (quali- tative and quantitative) knowledge involved in the designing process. We discuss the conceptual nature of engineering design by individuating and analyzing the involved notions. These notions are then formally charac- terized by extending the DOLCE foundational ontology. Our ultimate purpose is twofold: (i) to contribute to foundational issues of design; (...)
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  2. Logic in Knowledge Representation and Reasoning: Central Topics Via Readings.Luis M. Augusto - manuscript
    Logic has been a—disputed—ingredient in the emergence and development of the now very large field known as knowledge representation and reasoning. In this book (in progress), I select some central topics in this highly fruitful, albeit controversial, association (e.g., non-monotonic reasoning, implicit belief, logical omniscience, closed world assumption), identifying their sources and analyzing/explaining their elaboration in highly influential published work.
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  3.  73
    Paraconsistent Logics for Knowledge Representation and Reasoning: Advances and Perspectives.Walter A. Carnielli & Rafael Testa - 2020 - 18th International Workshop on Nonmonotonic Reasoning.
    This paper briefly outlines some advancements in paraconsistent logics for modelling knowledge representation and reasoning. Emphasis is given on the so-called Logics of Formal Inconsistency (LFIs), a class of paraconsistent logics that formally internalize the very concept(s) of consistency and inconsistency. A couple of specialized systems based on the LFIs will be reviewed, including belief revision and probabilistic reasoning. Potential applications of those systems in the AI area of KRR are tackled by illustrating some examples that emphasizes the (...)
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  4.  55
    Perceptron Connectives in Knowledge Representation.Pietro Galliani, Guendalina Righetti, Daniele Porello, Oliver Kutz & Nicolas Toquard - 2020 - In Knowledge Engineering and Knowledge Management - 22nd International Conference, {EKAW} 2020, Bolzano, Italy, September 16-20, 2020, Proceedings. Lecture Notes in Computer Science 12387. pp. 183-193.
    We discuss the role of perceptron (or threshold) connectives in the context of Description Logic, and in particular their possible use as a bridge between statistical learning of models from data and logical reasoning over knowledge bases. We prove that such connectives can be added to the language of most forms of Description Logic without increasing the complexity of the corresponding inference problem. We show, with a practical example over the Gene Ontology, how even simple instances of perceptron connectives (...)
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  5. Ontology-Based Knowledge Representation of Experiment Metadata in Biological Data Mining.Scheuermann Richard, Kong Megan, Dahlke Carl, Cai Jennifer, Lee Jamie, Qian Yu, Squires Burke, Dunn Patrick, Wiser Jeff, Hagler Herb, Herb Hagler, Barry Smith & David Karp - 2009 - In Jake Chen & Stefano Lonardi (eds.), Biological Data Mining. Boca Raton: Chapman Hall / Taylor and Francis. pp. 529-559.
    According to the PubMed resource from the U.S. National Library of Medicine, over 750,000 scientific articles have been published in the ~5000 biomedical journals worldwide in the year 2007 alone. The vast majority of these publications include results from hypothesis-driven experimentation in overlapping biomedical research domains. Unfortunately, the sheer volume of information being generated by the biomedical research enterprise has made it virtually impossible for investigators to stay aware of the latest findings in their domain of interest, let alone to (...)
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  6. Dealing with Concepts: From Cognitive Psychology to Knowledge Representation.Marcello Frixione & Antonio Lieto - 2013 - Frontiers of Psychological and Behevioural Science 2 (3):96-106.
    Concept representation is still an open problem in the field of ontology engineering and, more generally, of knowledge representation. In particular, the issue of representing “non classical” concepts, i.e. concepts that cannot be defined in terms of necessary and sufficient conditions, remains unresolved. In this paper we review empirical evidence from cognitive psychology, according to which concept representation is not a unitary phenomenon. On this basis, we sketch some proposals for concept representation, taking into account (...)
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  7. Philosophy of Science: Interfaces Between Logic and Knowledge Representation.Emma Ruttkamp - 2006 - South African Journal of Philosophy 25 (4):275-289.
    In this inaugural lecture I offer, against the background of a discussion of knowledge representation and its tools, an overview of my research in the philosophy of science. I defend a relational model-theoretic realism as being the appropriate meta-stance most congruent with the model-theoretic view of science as a form of human engagement with the world. Making use of logics with preferential semantics within a model-theoretic paradigm, I give an account of science as process and product. I demonstrate (...)
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  8. Representation and Misrepresentation of Knowledge.Mikkel Gerken - forthcoming - Behavioral and Brain Sciences.
    I argue for three points: First, evidence of the primacy of knowledge representation is not evidence of primacy of knowledge. Second, knowledge-oriented mindreading research should also focus on misrepresentations and biased representations of knowledge. Third, knowledge-oriented mindreading research must confront the problem of the gold standard that arises when disagreement about knowledge complicates the interpretation of empirical findings.
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  9.  92
    Pictorial Representation And Moral Knowledge.Katerina Bantinaki - 2004 - Postgraduate Journal of Aesthetics 1 (2):69-76.
    The idea that pictorial art can have cognitive value, that it can enhance our understanding of the world and of our own selves, has had many advocates in art theory and philosophical aesthetics alike. It has also been argued, however, that the power of pictorial representation to convey or enhance knowledge, in particular knowledge with moral content, is not generalized across the medium.
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  10.  81
    Knowledge and Representations: Explaining the Skeptical Puzzle.Guido Melchior - 2017 - In C. Limbeck-Lilienau and F. Stadler (ed.), The Philosophy of Perception and Observation. Papers of the 40th International Wittgenstein Symposium. pp. 150-152.
    (*This paper was awarded the Elisabeth and Werner Leinfellner Award 2017 for outstanding contributions.) -/- This paper provides an explanation of the skeptical puzzle. I argue that we can take two distinct points of view towards representations, mental representations like perceptual experiences and artificial representations like symbols. When focusing on what the representation represents we take an attached point of view. When focusing on the representational character of the representation we take a detached point view. From an attached (...)
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  11. The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments.Antonio Lieto, Christian Lebiere & Alessandro Oltramari - 2018 - Cognitive Systems Research:1-42.
    In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build arti cial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of (...)
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  12. Representing Knowledge.Peter van Elswyk - 2021 - The Philosophical Review 130 (1):97-143.
    A speaker's use of a declarative sentence in a context has two effects: it expresses a proposition and represents the speaker as knowing that proposition. This essay is about how to explain the second effect. The standard explanation is act-based. A speaker is represented as knowing because their use of the declarative in a context tokens the act-type of assertion and assertions represent knowledge in what's asserted. I propose a semantic explanation on which declaratives covertly host a "know"-parenthetical. A (...)
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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 (...)
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  14.  61
    Preschool Children's Use of Perceptual-Motor Knowledge and Hierarchical Representational Skills for Tool Making.Gökhan Gönül, Annette Hohenberger & Ece Takmaz - 2021 - Acta Psychologica 103415 (220).
    Although other animals can make simple tools, the expanded and complex material culture of humans is unprecedented in the animal kingdom. Tool making is a slow and late-developing ability in humans, and preschool children find making tools to solve problems very challenging. This difficulty in tool making might be related to the lack of familiarity with the tools and may be overcome by children's long term perceptual-motor knowledge. Thus, in this study, the effect of tool familiarity on tool making (...)
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  15. A Representation Theorem for Frequently Irrational Agents.Edward Elliott - 2017 - Journal of Philosophical Logic 46 (5):467-506.
    The standard representation theorem for expected utility theory tells us that if a subject’s preferences conform to certain axioms, then she can be represented as maximising her expected utility given a particular set of credences and utilities—and, moreover, that having those credences and utilities is the only way that she could be maximising her expected utility. However, the kinds of agents these theorems seem apt to tell us anything about are highly idealised, being always probabilistically coherent with infinitely precise (...)
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  16. Knowledge Before Belief.Jonathan Phillips, Wesley Buckwalter, Fiery Cushman, Ori Friedman, Alia Martin, John Turri, Laurie Santos & Joshua Knobe - forthcoming - Behavioral and Brain Sciences:1-37.
    Research on the capacity to understand others’ minds has tended to focus on representations of beliefs, which are widely taken to be among the most central and basic theory of mind representations. Representations of knowledge, by contrast, have received comparatively little attention and have often been understood as depending on prior representations of belief. After all, how could one represent someone as knowing something if one doesn't even represent them as believing it? Drawing on a wide range of methods (...)
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  17.  72
    Towards Knowledge-Driven Distillation and Explanation of Black-Box Models.Roberto Confalonieri, Guendalina Righetti, Pietro Galliani, Nicolas Toquard, Oliver Kutz & Daniele Porello - 2021 - In Proceedings of the Workshop on Data meets Applied Ontologies in Explainable {AI} {(DAO-XAI} 2021) part of Bratislava Knowledge September {(BAKS} 2021), Bratislava, Slovakia, September 18th to 19th, 2021. CEUR 2998.
    We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description Logics with linear operators that serve as a bridge between statistical learning and logical reasoning. The second is Trepan Reloaded, an ap- proach that builds post-hoc explanations of black-box classifiers in the form of decision trees enhanced by domain knowledge. Our aim (...)
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  18. Knowledge Bases and Neural Network Synthesis.Todd R. Davies - 1991 - In Hozumi Tanaka (ed.), Artificial Intelligence in the Pacific Rim: Proceedings of the Pacific Rim International Conference on Artificial Intelligence. IOS Press. pp. 717-722.
    We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (NN) (...), run, and the results from run time and (eventually) from learning are decompiled to a symbolic description of the knowledge contained in the network. After inspecting this recovered knowledge, a designer would be able to modify the KB and go through the whole cycle of compiling, running, and decompiling again. The central question with which this project is concerned is, therefore, How do we go from a KB to an NN, and back again? We are investigating this question by building tools consisting of a repertoire of language/translation/network types, and trying them on problems in a variety of domains. (shrink)
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  19. Environmental Representation of the Body.Adrian Cussins - 2012 - Review of Philosophy and Psychology 3 (1):15-32.
    Much recent cognitive neuroscientific work on body knowledge is representationalist: “body schema” and “body images”, for example, are cerebral representations of the body (de Vignemont 2009). A framework assumption is that representation of the body plays an important role in cognition. The question is whether this representationalist assumption is compatible with the variety of broadly situated or embodied approaches recently popular in the cognitive neurosciences: approaches in which cognition is taken to have a ‘direct’ relation to the body (...)
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  20. Quasi‐Indexicals and Knowledge Reports.William J. Rapaport, Stuart C. Shapiro & Janyce M. Wiebe - 1997 - Cognitive Science 21 (1):63-107.
    We present a computational analysis of de re, de dicto, and de se belief and knowledge reports. Our analysis solves a problem first observed by Hector-Neri Castañeda, namely, that the simple rule -/- `(A knows that P) implies P' -/- apparently does not hold if P contains a quasi-indexical. We present a single rule, in the context of a knowledge-representation and reasoning system, that holds for all P, including those containing quasi-indexicals. In so doing, we explore the (...)
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  21. Convention and Representation in Music.Hannah Kim - forthcoming - Philosophers' Imprint.
    In philosophy of music, formalists argue that pure instrumental music is unable to represent any content without the help of lyrics, titles, or dramatic context. In particular, they deny that music’s use of convention counts as a genuine case of representation because only intrinsic means of representing counts and conventions are extrinsic to the sound structures making up music. In this paper, I argue that convention should count as a way for music to genuinely represent content for two reasons. (...)
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  22. Knowledge, Adequacy, and Approximate Truth.Wesley Buckwalter & John Turri - 2020 - Consciousness and Cognition 83:102950.
    Approximation involves representing things in ways that might be close to the truth but are nevertheless false. Given the widespread reliance on approximations in science and everyday life, here we ask whether it is conceptually possible for false approximations to qualify as knowledge. According to the factivity account, it is impossible to know false approximations, because knowledge requires truth. According to the representational adequacy account, it is possible to know false approximations, if they are close enough to the (...)
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  23. Conceptual Spaces for Cognitive Architectures: A Lingua Franca for Different Levels of Representation.Antonio Lieto, Antonio Chella & Marcello Frixione - 2017 - Biologically Inspired Cognitive Architectures 19:1-9.
    During the last decades, many cognitive architectures (CAs) have been realized adopting different assumptions about the organization and the representation of their knowledge level. Some of them (e.g. SOAR [35]) adopt a classical symbolic approach, some (e.g. LEABRA[ 48]) are based on a purely connectionist model, while others (e.g. CLARION [59]) adopt a hybrid approach combining connectionist and symbolic representational levels. Additionally, some attempts (e.g. biSOAR) trying to extend the representational capacities of CAs by integrating diagrammatical representations and (...)
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  24. Non Classical Concept Representation and Reasoning in Formal Ontologies.Antonio Lieto - 2012 - Dissertation, Università Degli Studi di Salerno
    Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the search technologies. Here we take into account a (...)
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  25. Mental Representation and the Subjectivity of Consciousness.Pete Mandik - 2001 - Philosophical Psychology 14 (2):179-202.
    Many have urged that the biggest obstacles to a physicalistic understanding of consciousness are the problems raised in connection with the subjectivity of consciousness. These problems are most acutely expressed in consideration of the knowledge argument against physicalism. I develop a novel account of the subjectivity of consciousness by explicating the ways in which mental representations may be perspectival. Crucial features of my account involve analogies between the representations involved in sensory experience and the ways in which pictorial representations (...)
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  26. Knowledge and Truth: A Skeptical Challenge.Wesley Buckwalter & John Turri - 2020 - Pacific Philosophical Quarterly 101 (1):93-101.
    It is widely accepted in epistemology that knowledge is factive, meaning that only truths can be known. We argue that this theory creates a skeptical challenge: because many of our beliefs are only approximately true, and therefore false, they do not count as knowledge. We consider several responses to this challenge and propose a new one. We propose easing the truth requirement on knowledge to allow approximately true, practically adequate representations to count as knowledge. In addition (...)
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  27. 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 (...)
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  28. From Symbols to Knowledge Systems: A. Newell and H. A. Simon's Contribution to Symbolic AI.Luis M. Augusto - 2021 - Journal of Knowledge Structures and Systems 2 (1):29 - 62.
    A. Newell and H. A. Simon were two of the most influential scientists in the emerging field of artificial intelligence (AI) in the late 1950s through to the early 1990s. This paper reviews their crucial contribution to this field, namely to symbolic AI. This contribution was constituted mostly by their quest for the implementation of general intelligence and (commonsense) knowledge in artificial thinking or reasoning artifacts, a project they shared with many other scientists but that in their case was (...)
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  29. Epistemological Disjunctivism and its Representational Commitments.Craig French - 2019 - In Duncan Pritchard, Casey Doyle & Joe Milburn (eds.), New Issues in Epistemological Disjunctivism. London: Routledge.
    Orthodox epistemological disjunctivism involves the idea that paradigm cases of visual perceptual knowledge are based on visual perceptual states which are propositional, and hence representational. Given this, the orthodox version of epistemological disjunctivism takes on controversial representational commitments in the philosophy of perception. Must epistemological disjunctivism involve these commitments? I don’t think so. Here I argue that we can take epistemological disjunctivism in a new direction and develop a version of the view free of these representational commitments. The basic (...)
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  30. Logical Foundations for Belief Representation.William Rapaport - 1986 - Cognitive Science 10 (4):371-422.
    This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning (...)
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  31.  76
    Reflective Knowledge.Kristin Primus - 2021 - In Yitzhak Melamed (ed.), A Companion to Spinoza. Wiley Blackwell. pp. 265-275.
    In this chapter, I first turn to Spinoza’s obscure “ideas of ideas” doctrine and his claim that “as soon as one knows something, one knows that one knows it, and simultaneously knows that one knows that one knows, and so on, to infinity” (E2p21s). On my view, Spinoza, like Descartes, holds that a given idea can be conceived either in terms of what it represents or as an act of thinking: E2p7 (where Spinoza presents his doctrine of the “parallelism” of (...)
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  32. Heterogeneous Proxytypes Extended: Integrating Theory-Like Representations and Mechanisms with Prototypes and Exemplars.Antonio Lieto - 2018 - In Advances in Intelligent Systems and Computing: Proceedings of BICA. Springer.
    The paper introduces an extension of the proposal according to which conceptual representations in cognitive agents should be intended as heterogeneous proxytypes. The main contribution of this paper is in that it details how to reconcile, under a heterogeneous representational perspective, different theories of typicality about conceptual representation and reasoning. In particular, it provides a novel theoretical hypothesis - as well as a novel categorization algorithm called DELTA - showing how to integrate the representational and reasoning assumptions of the (...)
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  33. Bodily Skill and Internal Representation in Sensorimotor Perception.David Silverman - 2018 - Phenomenology and the Cognitive Sciences 17 (1):157-173.
    The sensorimotor theory of perceptual experience claims that perception is constituted by bodily interaction with the environment, drawing on practical knowledge of the systematic ways that sensory inputs are disposed to change as a result of movement. Despite the theory’s associations with enactivism, it is sometimes claimed that the appeal to ‘knowledge’ means that the theory is committed to giving an essential theoretical role to internal representation, and therefore to a form of orthodox cognitive science. This paper (...)
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  34. The Representation of Context: Ideas From Artificial Intelligence.James Franklin - 2003 - Law, Probability and Risk 2:191-199.
    To move beyond vague platitudes about the importance of context in legal reasoning or natural language understanding, one must take account of ideas from artificial intelligence on how to represent context formally. Work on topics like prior probabilities, the theory-ladenness of observation, encyclopedic knowledge for disambiguation in language translation and pathology test diagnosis has produced a body of knowledge on how to represent context in artificial intelligence applications.
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  35. Structure-Preserving Representations, Constitution and the Relative A Priori.Thomas Mormann - 2021 - Synthese 198 (Supplement 21):1-24.
    The aim of this paper is to show that a comprehensive account of the role of representations in science should reconsider some neglected theses of the classical philosophy of science proposed in the first decades of the 20th century. More precisely, it is argued that the accounts of Helmholtz and Hertz may be taken as prototypes of representational accounts in which structure preservation plays an essential role. Following Reichenbach, structure-preserving representations provide a useful device for formulating an up-to-date version of (...)
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  36. 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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  37. Amodal Completion and Knowledge.Grace Helton & Bence Nanay - 2019 - Analysis 79 (3):415-423.
    Amodal completion is the representation of occluded parts of perceived objects. We argue for the following three claims: First, at least some amodal completion-involved experiences can ground knowledge about the occluded portions of perceived objects. Second, at least some instances of amodal completion-grounded knowledge are not sensitive, that is, it is not the case that in the nearest worlds in which the relevant claim is false, that claim is not believed true. Third, at least some instances of (...)
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  38.  35
    A 3rd Person Knowledge Level Analysis of Cognitive Architectures: Problems, Challenges, and Future Directions.Antonio Lieto - 2021 - Unipa Invited Seminars.
    A 3rd person Knowledge Level analysis of cognitive architectures -/- Abstract I provide a knowledge level analysis of the main representational and reasoning problems affecting the cognitive architectures for what concerns this issue. In providing this analysis I will show, by considering some of the main cognitive architectures currently available (e.g. SOAR, ACT-R, CLARION), how one of the main problems of such architectures is represented by the fact that their knowledge representation and processing mechanisms are not (...)
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  39. Bayesian Representation of a Prolonged Archaeological Debate.Efraim Wallach - 2018 - Synthese 195 (1):401-431.
    This article examines the effect of material evidence upon historiographic hypotheses. Through a series of successive Bayesian conditionalizations, I analyze the extended competition among several hypotheses that offered different accounts of the transition between the Bronze Age and the Iron Age in Palestine and in particular to the “emergence of Israel”. The model reconstructs, with low sensitivity to initial assumptions, the actual outcomes including a complete alteration of the scientific consensus. Several known issues of Bayesian confirmation, including the problem of (...)
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  40. Functions and Mental Representation: The Theoretical Role of Representations and its Real Nature.Miguel Sebastián - 2017 - Phenomenology and the Cognitive Sciences 16 (2):317-336.
    Representations are not only used in our folk-psychological explanations of behaviour, but are also fruitfully postulated, for example, in cognitive science. The mainstream view in cognitive science maintains that our mind is a representational system. This popular view requires an understanding of the nature of the entities they are postulating. Teleosemantic theories face this challenge, unpacking the normativity in the relation of representation by appealing to the teleological function of the representing state. It has been argued that, if intentionality (...)
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  41. Basic Knowledge and the Normativity of Knowledge: The Awareness‐First Solution.Paul Silva - 2022 - Philosophy and Phenomenological Research 104 (3):564-586.
    Many have found it plausible that knowledge is a constitutively normative state, i.e. a state that is grounded in the possession of reasons. Many have also found it plausible that certain cases of proprioceptive knowledge, memorial knowledge, and self-evident knowledge are cases of knowledge that are not grounded in the possession of reasons. I refer to these as cases of basic knowledge. The existence of basic knowledge forms a primary objection to the idea (...)
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  42. Writing Knowledge in the Soul: Orality, Literacy, and Plato’s Critique of Poetry.Lawrence J. Hatab - 2007 - Epoché: A Journal for the History of Philosophy 11 (2):319-332.
    In this essay I take up Plato’s critique of poetry, which has little to do with epistemology and representational imitation, but rather the powerful effects that poeticperformances can have on audiences, enthralling them with vivid image-worlds and blocking the powers of critical reflection. By focusing on the perceived psychological dangers of poetry in performance and reception, I want to suggest that Plato’s critique was caught up in the larger story of momentous shifts in the Greek world, turning on the rise (...)
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  43. Why We Still Need Knowledge of Language.Barry C. Smith - 2006 - Croatian Journal of Philosophy 6 (3):431-456.
    In his latest book, Michael Devitt rejects Chomsky’s mentalist conception of linguistics. The case against Chomsky is based on two principal claims. First, that we can separate the study of linguistic competence from the study of its outputs: only the latter belongs to linguistic inquiry. Second, Chomsky’s account of a speaker’s competence as consisiting in the mental representation of rules of a grammar for his language is mistaken. I shall argue, first, that Devitt fails to make a case for (...)
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  44. Know-How, Procedural Knowledge, and Choking Under Pressure.Gabriel Gottlieb - 2015 - Phenomenology and the Cognitive Sciences 14 (2):361-378.
    I examine two explanatory models of choking: the representationalist model and the anti-representationalist model. The representationalist model is based largely on Anderson's ACT model of procedural knowledge and is developed by Masters, Beilock and Carr. The antirepresentationalist model is based on dynamical models of cognition and embodied action and is developed by Dreyfus who employs an antirepresentational view of know-how. I identify the models' similarities and differences. I then suggest that Dreyfus is wrong to believe representational activity requires reflection (...)
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  45. Self-Knowledge in § 7 of the Transcendental Aesthetic.Ralf M. Bader - 2013 - In Margit Ruffing, Claudio La Rocca, Alfredo Ferrarin & Stefano Bacin (eds.), Kant Und Die Philosophie in Weltbürgerlicher Absicht: Akten des Xi. Kant-Kongresses 2010. De Gruyter. pp. 531-540.
    Kant's claim that time is a subjective form of intuition was first proposed in his Inaugural Dissertation. This view was immediately criticised by Schultz, Lambert and Mendelssohn. Their criticisms are based on the claim that representations change which implies that change is real. From the reality of change they then argue to the reality of time, which undermines its supposed status as a subjective form of intuition that only applies to appearances. Kant took these criticisms very seriously and attempted to (...)
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  46. What Remains of Our Knowledge of Language?: Reply to Collins.Barry C. Smith - 2008 - Croatian Journal of Philosophy 8 (22):557-75.
    The new Chomskian orthodoxy denies that our linguistic competence gives us knowledge *of* a language, and that the representations in the language faculty are representations *of* anything. In reply, I have argued that through their intuitions speaker/hearers, (but not their language faculties) have knowledge of language, though not of any externally existing language. In order to count as knowledge, these intuitions must track linguistic facts represented in the language faculty. I defend this idea against the objections Collins (...)
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  47. Consciousness and Knowledge.Berit Brogaard & Elijah Chudnoff - forthcoming - In Uriah Kriegel (ed.), Oxford Handbook of the Philosophy of Consciousness. Oxford University Press.
    This chapter focuses on the relationship between consciousness and knowledge, and in particular on the role perceptual consciousness might play in justifying beliefs about the external world. We outline a version of phenomenal dogmatism according to which perceptual experiences immediately, prima facie justify certain select parts of their content, and do so in virtue of their having a distinctive phenomenology with respect to those contents. Along the way we take up various issues in connection with this core theme, including (...)
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  48. How to Distinguish Memory Representations? A Historical and Critical Journey.Marina Trakas - 2019 - Voluntas: Revista Internacional de Filosofia 10 (3):53-86.
    Memory is not a unitary phenomenon. Even among the group of long-term individual memory representations (known in the literature as declarative memory) there seems to be a distinction between two kinds of memory: memory of personally experienced events (episodic memory) and memory of facts or knowledge about the world (semantic memory). Although this distinction seems very intuitive, it is not so clear in which characteristic or set of interrelated characteristics lies the difference. In this article, I present the different (...)
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  49. Multimodal Abduction in Knowledge Development.L. Magnani - 2009 - Preworkshop Proceedings, IJCAI2009International Workshop on Abductive and Inductive Knowledge Development (Pasadena, CA, USA, July 12, 2009).
    From the perspective of distributed cognition I will stress how abduction is essentially multimodal, in that both data and hypotheses can have a full range of verbal and sensory representations, involving words, sights, images, smells, etc., but also kinesthetic – related to the ability to sense the position and location and orientation and movement of the body and its parts – and motor experiences and other feelings such as pain, and thus all sensory modalities. The presence of kinesthetic and motor (...)
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  50. Analyse contrastée des attentes et des représentations d'étudiants en formation initiale à l'enseignement secondaire en fonction de leur engagement ou non dans un établissement scolaire.Sandra Pellanda Dieci, Laura Weise & Anne Monnier - 2012 - Revue Phronesis 1 (2):63-81.
    In Geneva, since the beginning of pre-service secondary teacher training at university, two different types of students in teacher preparation coexist: some of them have got part-time classes, others have no teaching assignment. In an introduction to the teaching profession, students from different disciplines of the two types take a course on the same sources of professional knowledge. By analyzing the representations of the teaching profession, we find that the process of construction of their professional identity varies according to (...)
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