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  1. Analyzing Machine‐Learned Representations: A Natural Language Case Study.Ishita Dasgupta, Demi Guo, Samuel J. Gershman & Noah D. Goodman - 2020 - Cognitive Science 44 (12):e12925.
    As modern deep networks become more complex, and get closer to human‐like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present a diagnostic test dataset to examine the degree of abstract composable structure represented. Analyzing performance on these diagnostic tests indicates a lack of systematicity in representations (...)
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  • Modeling Mental Qualities.Andrew Y. Lee - 2021 - The Philosophical Review 130 (2):263-209.
    Conscious experiences are characterized by mental qualities, such as those involved in seeing red, feeling pain, or smelling cinnamon. The standard framework for modeling mental qualities represents them via points in geometrical spaces, where distances between points inversely correspond to degrees of phenomenal similarity. This paper argues that the standard framework is structurally inadequate and develops a new framework that is more powerful and flexible. The core problem for the standard framework is that it cannot capture precision structure: for example, (...)
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  • The Impact of Analogies on Creative Concept Generation: Lessons From an In Vivo Study in Engineering Design.Joel Chan & Christian Schunn - 2015 - Cognitive Science 39 (1):126-155.
    Research on innovation often highlights analogies from sources outside the current problem domain as a major source of novel concepts; however, the mechanisms underlying this relationship are not well understood. We analyzed the temporal interplay between far analogy use and creative concept generation in a professional design team's brainstorming conversations, investigating the hypothesis that far analogies lead directly to very novel concepts via large steps in conceptual spaces . Surprisingly, we found that concepts were more similar to their preceding concepts (...)
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  • Mind the brain.Martha Wilson - 1982 - Behavioral and Brain Sciences 5 (3):393-393.
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  • Comparative cognition revisited.Stewart H. Hulse - 1982 - Behavioral and Brain Sciences 5 (3):379-379.
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  • A la représentation du temps perdu.John C. Marshall - 1982 - Behavioral and Brain Sciences 5 (3):382-383.
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  • Comparative concepts.Richard Dietz - 2013 - Synthese 190 (1):139-170.
    Comparative concepts such as greener than or higher than are ways of ordering objects. They are fundamental to our grasp of gradable concepts, that is, the type of meanings expressed by gradable general terms, such as "is green" or "is high", which are embeddable in comparative constructions in natural language. Some comparative concepts seem natural, whereas others seem gerrymandered. The aim of this paper is to outline a theoretical approach to comparative concepts that bears both on the account of naturalness (...)
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  • Towards a structural turn in consciousness science.Johannes Kleiner - 2024 - Consciousness and Cognition 119 (C):103653.
    Recent activities in virtually all fields engaged in consciousness studies indicate early signs of a structural turn, where verbal descriptions or simple formalisations of conscious experiences are replaced by structural tools, most notably mathematical spaces. My goal here is to offer three comments that, in my opinion, are essential to avoid misunderstandings in these developments early on. These comments concern metaphysical premises of structural approaches, the viability of structure-preserving mappings, and the question of what a structure of conscious experience is (...)
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  • Wormholes in virtual space: From cognitive maps to cognitive graphs.William H. Warren, Daniel B. Rothman, Benjamin H. Schnapp & Jonathan D. Ericson - 2017 - Cognition 166 (C):152-163.
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  • Open questions and a proposal: A critical review of the evidence on infant numerical abilities.Lisa Cantrell & Linda B. Smith - 2013 - Cognition 128 (3):331-352.
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  • A Closeness- and Priority-Based Logical Study of Social Network Creation.Sonja Smets & Fernando R. Velázquez-Quesada - 2020 - Journal of Logic, Language and Information 29 (1):21-51.
    This paper is part of an on-going programme on the study of the logical aspects of social network formation. It recalls the so-called social network model, discussing the properties of a notion of closeness between agents ; then introduces an extended social network model in which different agents might assign different values to different traits, discussing the properties of the notion of weighted closeness that arises. These notions are used to define social network creation operations by means of a threshold (...)
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  • Memory: A matter of fitness.Juan D. Delius - 1982 - Behavioral and Brain Sciences 5 (3):375-376.
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  • Cognitive psychology's representation of behaviorism.A. W. Logue - 1982 - Behavioral and Brain Sciences 5 (3):381-382.
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  • Metatheory of animal behavior.Erwin M. Segal - 1982 - Behavioral and Brain Sciences 5 (3):386-387.
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  • Premature closure of controversial issues concerning animal memory representations.William A. Roberts - 1982 - Behavioral and Brain Sciences 5 (3):384-385.
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  • The meaning of representation in animal memory.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):353-372.
    A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...)
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  • Memory representations in animals: Some metatheoretical issues.Roy Lachman & Janet L. Lachman - 1982 - Behavioral and Brain Sciences 5 (3):380-381.
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  • Historicism, behaviorism, and the conceptual status of memory representations in animals.Charles P. Shimp - 1982 - Behavioral and Brain Sciences 5 (3):389-390.
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  • In the beginning was the word.J. E. R. Staddon - 1982 - Behavioral and Brain Sciences 5 (3):390-391.
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  • The informational character of representations.Fred Dretske - 1982 - Behavioral and Brain Sciences 5 (3):376-377.
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  • Some thoughts on the proper foundations for the study of cognition in animals.Lynn Nadel - 1982 - Behavioral and Brain Sciences 5 (3):383-384.
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  • Misrepresenting behaviorism.Marc N. Branch - 1982 - Behavioral and Brain Sciences 5 (3):372-373.
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  • Animal versus human minds.H. S. Terrace - 1982 - Behavioral and Brain Sciences 5 (3):391-392.
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  • Memory and rules in animal serial learning.E. J. Capaldi - 1982 - Behavioral and Brain Sciences 5 (3):373-373.
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  • Representation, similarity, and the chorus of prototypes.Shimon Edelman - 1995 - Minds and Machines 5 (1):45-68.
    It is proposed to conceive of representation as an emergent phenomenon that is supervenient on patterns of activity of coarsely tuned and highly redundant feature detectors. The computational underpinnings of the outlined concept of representation are (1) the properties of collections of overlapping graded receptive fields, as in the biological perceptual systems that exhibit hyperacuity-level performance, and (2) the sufficiency of a set of proximal distances between stimulus representations for the recovery of the corresponding distal contrasts between stimuli, as in (...)
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  • Analogy and distance.Raimo Tuomela - 1980 - Zeitschrift Für Allgemeine Wissenschaftstheorie 11 (2):276-291.
    Summary The paper presents a technical analysis of the notion of analogy by means of the notion of conceptual similarity (the inverse of distance). The main idea is to elucidate the analogy (similarity) between predicates (properties) in terms of the higher-order predicates they share or fail to share. The notions of predicate-similarity and theory-similarity (defined as the inverse of theory-distance) are then combined to give an analysis of the analogy between conceptual systems.
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  • On the content of representations.R. J. Nelson - 1982 - Behavioral and Brain Sciences 5 (3):384-384.
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  • The heuristic value of representation.Thomas R. Zentall - 1982 - Behavioral and Brain Sciences 5 (3):393-394.
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  • Antimisrepresentationalism.A. Charles Catania - 1982 - Behavioral and Brain Sciences 5 (3):374-375.
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  • Representation: A concept that fills no gaps.Robert Epstein - 1982 - Behavioral and Brain Sciences 5 (3):377-378.
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  • Representations and cognition.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):394-406.
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  • Expectancy: The endogenous source of anticipatory activities, including “pseudoconditioned” responses.Patrick J. Sheafor - 1982 - Behavioral and Brain Sciences 5 (3):387-389.
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  • Internal representations and indeterminacy: A skeptical view.William R. Uttal - 1982 - Behavioral and Brain Sciences 5 (3):392-393.
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  • The logic of representation.William W. Rozeboom - 1982 - Behavioral and Brain Sciences 5 (3):385-386.
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  • Representations as metaphiers.Julian Jaynes - 1982 - Behavioral and Brain Sciences 5 (3):379-380.
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  • Some distinctions among representations.M. Gopnik - 1982 - Behavioral and Brain Sciences 5 (3):378-379.
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  • Behaviorism's new cognitive representations: Paradigm regained.Arthur C. Danto - 1982 - Behavioral and Brain Sciences 5 (3):375-375.
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  • Two kinds of global perceptual separability and curvature.James T. Townsend & Jesse Spencer-Smith - 2004 - In Christian Kaernbach, Erich Schröger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition. Psychology Press. pp. 89--109.
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