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  1. Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan.Abigail L. Cosgrove, Yoed N. Kenett, Roger E. Beaty & Michele T. Diaz - 2021 - Cognition 211 (C):104631.
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  • Efficient Creativity: Constraint‐Guided Conceptual Combination.Fintan J. Costello & Mark T. Keane - 2000 - Cognitive Science 24 (2):299-349.
    This paper describes a theory that explains both the creativity and the efficiency of people's conceptual combination. In the constraint theory, conceptual combination is controlled by three constraints of diagnosticity, plausibility, and informativeness. The constraints derive from the pragmatics of communication as applied to compound phrases. The creativity of combination arises because the constraints can be satisfied in many different ways. The constraint theory yields an algorithmic model of the efficiency of combination. The C3 model admits the full creativity of (...)
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  • Why stereotypes don’t even make good defaults.Andrew C. Connolly, Jerry A. Fodor, Lila R. Gleitman & Henry Gleitman - 2007 - Cognition 103 (1):1-22.
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  • Heuristic classification.William J. Clancey - 1985 - Artificial Intelligence 27 (3):289-350.
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  • Essentialism, word use, and concepts.Nick Braisby, Bradley Franks & James Hampton - 1996 - Cognition 59 (3):247-274.
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  • Compositionality and the modelling of complex concepts.Nick Braisby - 1998 - Minds and Machines 8 (4):479-508.
    The nature of complex concepts has important implications for the computational modelling of the mind, as well as for the cognitive science of concepts. This paper outlines the way in which RVC – a Relational View of Concepts – accommodates a range of complex concepts, cases which have been argued to be non-compositional. RVC attempts to integrate a number of psychological, linguistic and psycholinguistic considerations with the situation-theoretic view that information-carrying relations hold only relative to background situations. The central tenet (...)
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  • Compositionality and the Modelling of Complex Concepts.Nick Braisby - 1998 - Minds and Machines 8 (4):479-507.
    The nature of complex concepts has important implications for the computational modelling of the mind, as well as for the cognitive science of concepts. This paper outlines the way in which RVC – a Relational View of Concepts – accommodates a range of complex concepts, cases which have been argued to be non-compositional. RVC attempts to integrate a number of psychological, linguistic and psycholinguistic considerations with the situation-theoretic view that information-carrying relations hold only relative to background situations. The central tenet (...)
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  • Die Tripelstruktur der Begriffe.W. Balzer & V. Kuznetsov - 2010 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 41 (1):21 - 43.
    Wir stellen ein präzises Modell der wissenschaftlichen Begriffs-theorie vor, in dem die Beschreibungs-, die Wirklichkeits- und die mengentheoretische Ebene verknüpft werden. Einerseits wird ein allgemeiner Rahmen für die Gesamtheit der Begriffe, andererseits die „lokale” Struktur eines Begriffs beschrieben. Wir spezialisieren diesen Rahmen auf wissenschaftliche Begriffe, wissenschaftliche Theorien, und auf die zugehörigen strukturalistischen, wissenschaftstheoretischen Konstruktionen. We introduce a precise model for the theory of concepts in philosophy of science. In this model we connect the level of description, the level of reality (...)
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  • Combining Prototypes: A Selective Modification Model.Edward E. Smith, Daniel N. Osherson, Lance J. Rips & Margaret Keane - 1988 - Cognitive Science 12 (4):485-527.
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  • Cognitive psychology.Edward E. Smith - 1985 - Artificial Intelligence 25 (3):247-253.
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  • Conceptual Combination with Prototype Concepts.Edward E. Smith & Daniel N. Osherson - 1984 - Cognitive Science 8 (4):337-361.
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  • A puzzle about concept possession.Mark Siebel - 2005 - Grazer Philosophische Studien 68 (1):1-22.
    To have a propositional attitude, a thinker must possess the concepts included in its content. Surprisingly, this rather trivial principle refl ects badly on many theories of concept possession because, in its light, they seem to require too much. To solve this problem, I point out an ambiguity in attributions of the form 'S possesses the concept of Fs'. There is an undemanding sense which is involved in the given principle, whereas the theoretical claims concern a stronger sense which can (...)
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  • Reasoning, rationality, and architectural resolution.Brian J. Scholl - 1997 - Philosophical Psychology 10 (4):451-470.
    Recent evidence suggests that performance on reasoning tasks may reflect the operation of a number of distinct cognitive mechanisms and processes. This paper explores the implications of this view of the mind for the descriptive and normative assessment of reasoning. I suggest that descriptive questions such as “Are we equipped to reason using rule X?” and normative questions such as “Are we rational?” are obsolete—they do not possess a fine enough grain of architectural resolution to accurately characterize the mind. I (...)
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  • Evidence of coordination as a cure for concept eliminativism.Andrea Scarantino - 2010 - Behavioral and Brain Sciences 33 (2-3):223-224.
    I argue that Machery stacks the deck against hybrid theories of concepts by relying on an unduly restrictive understanding of coordination between concept parts. Once a less restrictive notion of coordination is introduced, the empirical case for hybrid theories of concepts becomes stronger, and the appeal of concept eliminativism weaker.
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  • Comprehending Complex Concepts.Gregory L. Murphy - 1988 - Cognitive Science 12 (4):529-562.
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  • What is conceptual glue?Eric Margolis - 1999 - Minds and Machines 9 (2):241-255.
    Conceptual structures are commonly likened to scientific theories, yet the content and motivation of the theory analogy are rarely discussed. Gregory Murphy and Douglas Medin's The Role of Theories in Conceptual Coherence is a notable exception and has become an authoritative exposition of the utility of the theory analogy. For Murphy and Medin, the theory analogy solves what they call the problem of conceptual coherence or the problem of conceptual glue. I argue that they conflate a number of issues under (...)
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  • Compounding as Abstract Operation in Semantic Space: Investigating relational effects through a large-scale, data-driven computational model.Marco Marelli, Christina L. Gagné & Thomas L. Spalding - 2017 - Cognition 166:207-224.
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  • Prototype theory and compositionality.H. Kamp - 1995 - Cognition 57 (2):129-191.
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  • Prototype theory and compositionality.H. Kamp & B. Partee - 1995 - Cognition 57 (2):129-191.
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  • Concepts and Inference.Jonathan S. T. B. T. Evans - 1989 - Mind and Language 4 (1-2):29-34.
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  • On prototypes as defaults.Martin L. Jönsson & James A. Hampton - 2008 - Cognition 106 (2):913-923.
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  • Problems of context and knowledge.Jacques Jayez - 1989 - Argumentation 3 (3):303-319.
    In spite of alleged differences in purpose, descriptive and computational linguistics share many problems, due to the fact that any precise study on language needs some form of knowledge representation. This constraint is mostly apparent when interpretation of sentences takes into account elements of the so-called “context”. The parametrization of context, i.e. the explicit listing of features relevant to some intepretation task, is difficult because it requires flexible formal structures for understanding or simulating inferential behaviour, as well as a large (...)
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  • Typicality, Graded Membership, and Vagueness.James A. Hampton - 2007 - Cognitive Science 31 (3):355-384.
    This paper addresses theoretical problems arising from the vagueness of language terms, and intuitions of the vagueness of the concepts to which they refer. It is argued that the central intuitions of prototype theory are sufficient to account for both typicality phenomena and psychological intuitions about degrees of membership in vaguely defined classes. The first section explains the importance of the relation between degrees of membership and typicality (or goodness of example) in conceptual categorization. The second and third section address (...)
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  • Conceptual Combination: Extension and Intension. Commentary on Aerts, Gabora, and Sozzo.James A. Hampton - 2014 - Topics in Cognitive Science 6 (1):53-57.
    Aerts et al. provide a valuable model to capture the interactive nature of conceptual combination in conjunctions and disjunctions. The commentary provides a brief review of the interpretation of these interactions that has been offered in the literature, and argues for a closer link between the more traditional account in terms of concept intensions, and the parameters that emerge from the fitting of the Quantum Probability model.
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  • How Grammar Introduces Asymmetry Into Cognitive Structures: Compositional Semantics, Metaphors, and Schematological Hybrids.David Gil & Yeshayahu Shen - 2019 - Frontiers in Psychology 10.
    This paper presents a preliminary and tentative formulation of a novel empirical generalization governing the relationship between grammar and cognition across a variety of independent domains. Its point of departure is an abstract distinction between two kinds of cognitive structures: symmetric and asymmetric. While in principle any feature whatsoever has the potential for introducing asymmetry, this paper focuses on one specific feature, namely thematic-role assignment. Our main empirical finding concerns the role of language, or, more specifically, grammar, in effecting and (...)
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  • Ancient Indian Logic as a Theory of Case-Based Reasoning.Jonardon Ganeri - 2003 - Journal of Indian Philosophy 31 (1/3):33-45.
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  • Note on the integration of prototype theory and fuzzy-set theory.Gy Fuhrmann - 1991 - Synthese 86 (1):1 - 27.
    Many criticisms of prototype theory and/or fuzzy-set theory are based on the assumption that category representativeness (or typicality) is identical with fuzzy membership. These criticisms also assume that conceptual combination and logical rules (all in the Aristotelian sense) are the appropriate criteria for the adequacy of the above “fuzzy typicality”. The present paper discusses these assumptions following the line of their most explicit and most influential expression by Osheron and Smith (1981). Several arguments are made against the above identification, the (...)
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  • “Prototypes” and “fuzziness” in the logic of concepts.Gy Fuhrmann - 1988 - Synthese 75 (3):317 - 347.
    Prototypes and fuzziness are regarded in this paper as fundamental phenomena in the inherent logic of concepts whose relationship, however, has not been sufficiently clarified. Therefore, modifications are proposed in the definition of both. Prototypes are defined as the elements possessing maximal degree of membership in the given category such thatthis membership has maximal cognitive efficiency in representing theelement. A modified fuzzy set (m-fuzzy set) is defined on aclass (possibly self-contradictory collection) such that its core (the collection of elements with (...)
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  • Fuzziness of concepts and concepts of fuzziness.Gy Fuhrmann - 1988 - Synthese 75 (3):349 - 372.
    It has been a vexing question in recent years whether concepts are fuzzy. In this paper several views on the fuzziness of concepts are pointed out to have stemmed from dubious concepts of fuzziness. The underlying notions of the roles feasibly played byprototype, set, andprobability in modeling concepts strongly suggest that the controversy originates from a vague relation between intuitive and mathematical ideas in the cognitive sciences. It is argued that the application of fuzzy sets cannot resolve this vagueness since (...)
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  • Concepts and inference.Jonathan S. B. T. Evans - 1989 - Mind and Language 4 (1-2):29-34.
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  • A concept and its structures. Methodological analysis.Vladimir Kuznetsov (ed.) - 1997 - Institute of philosophy.
    The triplet model treats a concept as complex structure that expresses three kinds of information. The first is about entities subsumed under a concept,their properties and relations. The second is about means and ways of representing the first information in intelligent systems. The third is about linkage between the first and second ones and methods of its constructing. The application of triplet models to generalization and development of concept models in philosophy, logic, cognitive psychology, cognitive science, linguistics, artificial intelligence has (...)
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  • Representing Relations between Physical Concepts.Vladimir Kuznetsov - 2004 - Communication and Cognition: An Interdisciplinary Quarterly Journal 2004 (37):105-135.
    The paper has three objectives: to expound a set-theoretical triplet model of concepts; to introduce some triplet relations (symbolic, logical, and mathematical formalization; equivalence, intersection, disjointness) between object concepts, and to instantiate them by relations between certain physical object concepts.
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  • On the Triplet Frame for Concept Analysis.Vladimir Kuznersov - 1999 - Theoria 14 (1):39-62.
    The paper has two objectives: to introduce the fundamentals of a triplet model of a concept, and to show that the main concept models may be structurally treated as its partial cases. The triplet model considers a concept as a mental representation and characterizes it from three interrelated perspectives. The first deals with objects (and their attributes of various orders) subsumed under a concept. The second focuses on representing structures that depict objects and their attributes in some intelligent system. The (...)
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  • Conjunctions of social categories considered from different points of view.James A. Hampton, Margaret Dillane, Laura Oren & Louise Worgan - 2011 - Anthropology and Philosophy 10:31-57.
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