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  1. Broadbent's Maltese cross memory model: Something old, something new, something borrowed, something missing.Elizabeth F. Loftus, Geoffrey R. Loftus & Earl B. Hunt - 1984 - Behavioral and Brain Sciences 7 (1):73-74.
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  • Localization, representation, and re-representation in neurolinguistics.Simeon Locke - 1979 - Behavioral and Brain Sciences 2 (3):471-472.
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  • Syntax, functional semantics, and referential semantics.Brian F. Loar - 1980 - Behavioral and Brain Sciences 3 (1):89-90.
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  • How smart must you be to be crazy?Robert Lindsay - 1981 - Behavioral and Brain Sciences 4 (4):541-542.
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  • The relationship between information theory, statistical mechanics, evolutionary theory, and cognitive Science.Michael Leyton - 1986 - Behavioral and Brain Sciences 9 (1):148-149.
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  • Propositional Versus Structural Semantic Analyses of Medical Diagnostic Thinking.Madeleine Lemieux & Georges Bordage - 1992 - Cognitive Science 16 (2):185-204.
    Two approaches to the study of diagnostic thinking are compared, one mainly propositional, namely that of Patel and Groen (1986), the other mainly semantic, that of Lemieux and Bordage (1986). Patel and Groen analyzed the linear dimension of cardiologists' discourses while solving a case of acute bacterial endocarditis, that is, the before and after propositional rules. A secondary analysis of two of their pothophysiological protocols is done using structural semantic techniques from Lemieux and Bordage where the vertical dimension of the (...)
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  • Semantic information: Inference rules + memory.Michael Lebowitz - 1986 - Behavioral and Brain Sciences 9 (1):147-148.
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  • Linguistics must be computational too.D. Terence Langendoen - 1979 - Behavioral and Brain Sciences 2 (3):470-471.
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  • Building machines that learn and think like people.Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum & Samuel J. Gershman - 2017 - Behavioral and Brain Sciences 40.
    Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking (...)
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  • Production of Referring Expressions for an Unknown Audience: A Computational Model of Communal Common Ground.Roman Kutlak, Kees van Deemter & Chris Mellish - 2016 - Frontiers in Psychology 7.
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  • Discourse and information structure.Ivana Kruijff-korbayová & Mark Steedman - 2003 - Journal of Logic, Language and Information 12 (3):249-259.
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  • On the generality of PARRY, Colby's paranoia model.Manfred Kochen - 1981 - Behavioral and Brain Sciences 4 (4):540-541.
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  • Information, causality, and intentionality.David Kelley - 1986 - Behavioral and Brain Sciences 9 (1):147-147.
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  • Cognitive science on a wing and a prayer.William Keith - 1990 - Social Epistemology 343 (October-December):343-355.
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  • Issues in core linguistic processing.Mary-Louise Kean & George E. Smith - 1979 - Behavioral and Brain Sciences 2 (3):469-470.
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  • Fodor's guide to cognitive psychology.Jerrold J. Katz - 1980 - Behavioral and Brain Sciences 3 (1):85-89.
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  • Implications of Fodor' methodological solipsism for psychological theories.Peter W. Jusczyk & Bruce Earhard - 1980 - Behavioral and Brain Sciences 3 (1):84-85.
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  • The content of a representation also depends on the procedure interpreting it.A. K. Joshi - 1980 - Behavioral and Brain Sciences 3 (1):84-84.
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  • Procedural semantics.Philip N. Johnson-Laird - 1977 - Cognition 5 (3):189-214.
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  • Mental Models in Cognitive Science.P. N. Johnson-Laird - 1980 - Cognitive Science 4 (1):71-115.
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  • Colby's paranoia model: An old theory in a new frame?C. E. Izard & F. A. Masterson - 1981 - Behavioral and Brain Sciences 4 (4):539-540.
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  • Artificial Intelligence as a Possible Tool for Discovering Laws of Logic.David Isles - 1978 - Cognitive Science 2 (4):329-360.
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  • Sensing and reference.S. D. Isard - 1980 - Behavioral and Brain Sciences 3 (1):83-84.
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  • What is computational neurolinguistics anyway?Patrick T. W. Hudson - 1979 - Behavioral and Brain Sciences 2 (3):468-469.
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  • Fighting human hubris: Intelligence in nonhuman animals and artefacts.Christian Hugo Hoffmann - 2023 - Ethics and Bioethics (in Central Europe) 13 (1-2):1-14.
    100 years ago, the editors of the Journal of Educational Psychology conducted one of the most famous studies of experts’ conceptions of human intelligence. This was reason enough to prompt the question where we stand today with making sense of “intelligence”. In this paper, we argue that we should overcome our anthropocentrism and appreciate the wonders of intelligence in nonhuman and nonbiological animals instead. For that reason, we study two cases of octopus intelligence and intelligence in machine learning systems to (...)
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  • Practice and divided attention.William Hirst - 1984 - Behavioral and Brain Sciences 7 (1):72-73.
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  • Anatomia da Linguagem: Podemos Compreender Jogos de Linguagem a Partir de Redes Corticais?Inês Hipólito - 2017 - Kairos 18 (1):84-109.
    There is today much interest in research of neuronal substrata in metaphor processing. It has been suggested that the right hemisphere yields a key role in the comprehension of figurative language and, particularly, in metaphors. Figurative language is included in pragmatics, a branch of linguistics that researches the use of language, in opposition to the study of the system of language. There lingers, though, an open debate in respect to the identification of the specific aspects concerning semantics, as opposed to (...)
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  • Semantics and Pragmatics of Locative Expressions.Annette Herskovits - 1985 - Cognitive Science 9 (3):341-378.
    The paper examines locative expressions and shows that an adequate account of their meaning must be based on two essential understandings: First, the simple spatial relation, often given as the meaning of the spatial prepositions, is only an “ideal” from which there are deviations in context; second, a level of “geometric conceptualization” mediates between “the world as it is” and language. Pragmatic “near principles” are formulated to explain some deviations from the ideal and several other apparent irregularities of prepositional use. (...)
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  • Intentionality and the explanation of behavior.John Heil - 1986 - Behavioral and Brain Sciences 9 (1):146-147.
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  • Knowing about formality.Pat Hayes - 1980 - Behavioral and Brain Sciences 3 (1):82-83.
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  • Formality and naturalism.John Haugeland - 1980 - Behavioral and Brain Sciences 3 (1):81-82.
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  • What is methodological solipsism?Gilbert Harman - 1980 - Behavioral and Brain Sciences 3 (1):81-81.
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  • An embarrassment of riches in nascent neurolinguistics.Terry Halwes - 1979 - Behavioral and Brain Sciences 2 (3):467-468.
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  • Paranoia concerning program-resistant aspects of the mind - and let's drop rocks on Turing's toes again.Keith Gunderson - 1981 - Behavioral and Brain Sciences 4 (4):537-539.
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  • Parallel function strategy in pronoun assignment.Ellen H. Grober, William Beardsley & Alfonso Caramazza - 1978 - Cognition 6 (2):117-133.
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  • Is neurolinguistics ready for reductionism?Samuel H. Greenblatt - 1979 - Behavioral and Brain Sciences 2 (3):467-467.
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  • Uncertainty about information.Ian E. Gordon - 1986 - Behavioral and Brain Sciences 9 (1):146-146.
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  • The Representation and Processing of Coreference in Discourse.Peter C. Gordon & Randall Hendrick - 1998 - Cognitive Science 22 (4):389-424.
    A model is presented that addresses both the distribution and comprehension of different forms of referring expressions in language. This model is expressed in a formalism (Kamp & Reyle, 1993) that uses interpretive rules to map syntactic representations onto representations of discourse. Basic interpretive rules are developed for names, pronouns, definite descriptions, and quantified descriptions. These rules are triggered by syntactic input and interact dynamically with representations of discourse to establish reference and coreference. This interaction determines the ease with which (...)
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  • Is model building advancing neurolinguistics?Harold Goodglass - 1979 - Behavioral and Brain Sciences 2 (3):466-466.
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  • On some specific models of intentional behavior.Richard M. Golden - 1986 - Behavioral and Brain Sciences 9 (1):144-145.
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  • Artificial Intelligence, Language, and the Study of Knowledge*,†.Ira Goldstein & Seymour Papert - 1977 - Cognitive Science 1 (1):84-123.
    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles. The paper also provides a unifying thread to a variety of recent approaches to natural language comprehension. We conclude with a (...)
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  • Some remarks on representations.P. T. Geach - 1980 - Behavioral and Brain Sciences 3 (1):80-81.
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  • Neurolinguistics must be more experimental before it can be effectively computational.Merrill Garrett & Edgar Zurif - 1979 - Behavioral and Brain Sciences 2 (3):465-466.
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  • Computational neurolinguistics: promises, promises.Howard Gardner - 1979 - Behavioral and Brain Sciences 2 (3):464-465.
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  • Computers are dumb.Frank R. Freemon - 1979 - Behavioral and Brain Sciences 2 (3):464-464.
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  • Constraining models in neurolinguistics.Lyn Frazier - 1979 - Behavioral and Brain Sciences 2 (3):463-464.
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  • Methodological solipsism considered as a research strategy in cognitive psychology.Jerry A. Fodor - 1979 - Behavioral and Brain Sciences 3 (1):63-73.
    The paper explores the distinction between two doctrines, both of which inform theory construction in much of modern cognitive psychology: the representational theory of mind and the computational theory of mind. According to the former, propositional attitudes are to be construed as relations that organisms bear to mental representations. According to the latter, mental processes have access only to formal (nonsemantic) properties of the mental representations over which they are defined.The following claims are defended: (1) That the traditional dispute between (...)
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  • Methodological solipsism: replies to commentators.J. A. Fodor - 1980 - Behavioral and Brain Sciences 3 (1):99-109.
    The paper explores the distinction between two doctrines, both of which inform theory construction in much of modern cognitive psychology: the representational theory of mind and the computational theory of mind. According to the former, propositional attitudes are to be construed as relations that organisms bear to mental representations. According to the latter, mental processes have access only to formal (nonsemantic) properties of the mental representations over which they are defined.The following claims are defended: (1) That the traditional dispute between (...)
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  • Philosophical pictures.Eugen Fischer - 2006 - Synthese 148 (2):469 - 501.
    The paper develops a novel account of the nature and genesis of some philosophical problems, which motivates an unfamiliar form of philosophical criticism that was pioneered by the later Wittgenstein. To develop the account, the paper analyses two thematically linked sets of problems, namely problems about linguistic understanding: a set of problems Wittgenstein discusses in a core part of his Philosophical Investigations, and the ‘problem of linguistic creativity’ that is central to current philosophy of language. The paper argues that these (...)
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  • Human‐computer interaction: A critical synthesis.Chris Fields - 1987 - Social Epistemology 1 (1):5 – 25.
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