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  1. Semantics and the computational paradigm in computational psychology.Eric Dietrich - 1989 - Synthese 79 (April):119-41.
    There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics (...)
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  • Semantics and the Computational Paradigm in Cognitive Psychology.Eric Dietrich - 1989 - Synthese 79 (1):119-141.
    There is a prevalent notion among cognitive scientists and philosophers of mind that computers are merely formal symbol manipulators, performing the actions they do solely on the basis of the syntactic properties of the symbols they manipulate. This view of computers has allowed some philosophers to divorce semantics from computational explanations. Semantic content, then, becomes something one adds to computational explanations to get psychological explanations. Other philosophers, such as Stephen Stich, have taken a stronger view, advocating doing away with semantics (...)
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  • Negation in Skinner's system.N. E. Wetherick - 1984 - Behavioral and Brain Sciences 7 (4):606-607.
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  • The egg revealed.William S. Verplanck - 1984 - Behavioral and Brain Sciences 7 (4):605-606.
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  • Nonhuman intentional systems.H. S. Terrace - 1983 - Behavioral and Brain Sciences 6 (3):378-379.
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  • Let's get down to the “wetware” and look at evolutionarily motivated mechanisms.Harvey M. Sussman - 1994 - Behavioral and Brain Sciences 17 (1):182-183.
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  • Operant analysis of problem solving: Answers to questions you probably don't want to ask.Robert J. Sternberg - 1984 - Behavioral and Brain Sciences 7 (4):605-605.
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  • Rule-governed behavior in computational psychology.Edward P. Stabler - 1984 - Behavioral and Brain Sciences 7 (4):604-605.
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  • Computational models of language processing.Edward P. Stabler - 1986 - Behavioral and Brain Sciences 9 (3):550-551.
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  • Berwick and Weinberg on linguistics and computational psychology.Edward P. Stabler - 1984 - Cognition 17 (2):155-179.
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  • Adaptation and satisficing.John Maynard Smith - 1983 - Behavioral and Brain Sciences 6 (3):370-371.
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  • Contingencies and rules.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):607-613.
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  • A better way to deal with selection.B. F. Skinner - 1983 - Behavioral and Brain Sciences 6 (3):377-378.
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  • An operant analysis of problem solving.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):583-591.
    Behavior that solves a problem is distinguished by the fact that it changes another part of the solver's behavior and is strengthened when it does so. Problem solving typically involves the construction of discriminative stimuli. Verbal responses produce especially useful stimuli, because they affect other people. As a culture formulates maxims, laws, grammar, and science, its members behave more effectively without direct or prolonged contact with the contingencies thus formulated. The culture solves problems for its members, and does so by (...)
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  • Steps toward an ethological science.Mark S. Seidenberg - 1983 - Behavioral and Brain Sciences 6 (3):377-377.
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  • New wine in old glasses?Joseph M. Scandura - 1984 - Behavioral and Brain Sciences 7 (4):602-603.
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  • Content and consciousness versus the International stance.Alexander Rosenberg - 1983 - Behavioral and Brain Sciences 6 (3):375-376.
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  • Intentions and adaptations.H. L. Roitblat - 1983 - Behavioral and Brain Sciences 6 (3):375-375.
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  • International plovers or just dump brids?Carolyn A. Ristau - 1983 - Behavioral and Brain Sciences 6 (3):373-375.
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  • Innate a nd Learned: Carey, Mad Dog Nativism, and the Poverty of Stimuli and Analogies.Georges Rey - 2014 - Mind and Language 29 (2):109-132.
    In her recent (2009) book, The Origins of Concepts, Susan Carey argues that what she calls ‘Quinean Bootstrapping’ and processes of analogy in children show that the expressive power of a mind can be increased in ways that refute Jerry Fodor's (1975, 2008) ‘Mad Dog’ view that all concepts are innate. I argue that it is doubtful any evidence about the manifestation of concepts in children will bear upon the logico-semantic issues of expressive power. Analogy and bootstrapping may be ways (...)
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  • Response classes, operants, and rules in problem solving.Jan G. Rein - 1984 - Behavioral and Brain Sciences 7 (4):602-602.
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  • The relevance of Relevance for fiction.Anne Reboul - 1987 - Behavioral and Brain Sciences 10 (4):729.
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  • Questions raised by the reinforcement paradigm.Anatol Rapoport - 1984 - Behavioral and Brain Sciences 7 (4):601-602.
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  • Parallelism and Functionalism.William M. Ramsey - 1989 - Cognitive Science 13 (1):139-144.
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  • Connectionism and three levels of nativism.William Ramsey & Stephen P. Stich - 1990 - Synthese 82 (2):177-205.
    Along with the increasing popularity of connectionist language models has come a number of provocative suggestions about the challenge these models present to Chomsky's arguments for nativism. The aim of this paper is to assess these claims. We begin by reconstructing Chomsky's argument from the poverty of the stimulus and arguing that it is best understood as three related arguments, with increasingly strong conclusions. Next, we provide a brief introduction to connectionism and give a quick survey of recent efforts to (...)
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  • The International stance faces backward.Howard Rachlin - 1983 - Behavioral and Brain Sciences 6 (3):373-373.
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  • Is there such a thing as a problem situation?Kjell Raaheim - 1984 - Behavioral and Brain Sciences 7 (4):600-601.
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  • Humans did not evolve from bats.Steven Pinker & Paul Bloom - 1994 - Behavioral and Brain Sciences 17 (1):183-185.
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  • Dennett's rational animals: And how behavorism overlooked them.Ruth Garrett Millikan - 1983 - Behavioral and Brain Sciences 6 (3):372-373.
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  • Parlez-vous baboon, Bwana Sherlock?E. W. Menzel - 1983 - Behavioral and Brain Sciences 6 (3):371-372.
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  • Intentions as goads.David McFarland - 1983 - Behavioral and Brain Sciences 6 (3):369-370.
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  • Tacit beliefs and other doxastic attitudes.Pat A. Manfredi - 1993 - Philosophia 22 (1-2):95-117.
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  • Processing or pickup: Conflicting approaches to perception.Pat A. Mandfredi - 1986 - Mind and Language 1 (3):181-200.
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  • The scope and ingenuity of evolutionary systems.Dan Lloyd - 1983 - Behavioral and Brain Sciences 6 (3):368-369.
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  • Elementary errors about evolution.Richard C. Lewontin - 1983 - Behavioral and Brain Sciences 6 (3):367-368.
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  • Problem solving as a cognitive process.Manfred Kochen - 1984 - Behavioral and Brain Sciences 7 (4):599-600.
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  • Can Skinner define a problem?Geir Kaufmann - 1984 - Behavioral and Brain Sciences 7 (4):599-599.
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  • Contingencies, rules, and the “problem” of novel behavior.Pere Julià - 1984 - Behavioral and Brain Sciences 7 (4):598-599.
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  • Explanation by computer simulation in cognitive science.Jordi Fernández - 2003 - Minds and Machines 13 (2):269-284.
    My purpose in this essay is to clarify the notion of explanation by computer simulation in artificial intelligence and cognitive science. My contention is that computer simulation may be understood as providing two different kinds of explanation, which makes the notion of explanation by computer simulation ambiguous. In order to show this, I shall draw a distinction between two possible ways of understanding the notion of simulation, depending on how one views the relation in which a computing system that performs (...)
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  • Dennett' “Panglossian paradigm”.Alison Jolly - 1983 - Behavioral and Brain Sciences 6 (3):366-367.
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  • The Structure of Bias.Gabbrielle M. Johnson - 2020 - Mind 129 (516):1193-1236.
    What is a bias? Standard philosophical views of both implicit and explicit bias focus this question on the representations one harbours, for example, stereotypes or implicit attitudes, rather than the ways in which those representations are manipulated. I call this approach representationalism. In this paper, I argue that representationalism taken as a general theory of psychological social bias is a mistake, because it conceptualizes bias in ways that do not fully capture the phenomenon. Crucially, this view fails to capture a (...)
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  • A case study of how a paper containing good ideas, presented by a distinguished scientist, to an appropriate audience, had almost no influence at all.Earl Hunt - 1984 - Behavioral and Brain Sciences 7 (4):597-598.
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  • The adaptiveness_ of _mentalism?.Nicholas Humphrey - 1983 - Behavioral and Brain Sciences 6 (3):366-366.
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  • On choosing the “right” stimulus and rule.Robin M. Hogarth - 1984 - Behavioral and Brain Sciences 7 (4):596-596.
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  • Belief accripton, parsimony, and rationality.John Hell - 1983 - Behavioral and Brain Sciences 6 (3):365-366.
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  • Representation and content in some (actual) theories of perception.Gary Hatfield - 1988 - Studies in History and Philosophy of Science Part A 19 (2):175-214.
    Recent discussions in the philosophy of psychology have examined the use and legitimacy of such notions as “representation”, “content”, “computation”, and “inference” within a scientific psychology. While the resulting assessments have varied widely, ranging from outright rejection of some or all of these notions to full vindication of their use, there has been notable agreement on the considerations deemed relevant for making an assessment. The answer to the question of whether the notion of, say, representational content may be admitted into (...)
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  • Psychology as moral rhetoric.Rom Harré - 1984 - Behavioral and Brain Sciences 7 (4):595-596.
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  • Language processing and computer programs.R. J. Harvey - 1986 - Behavioral and Brain Sciences 9 (3):549-550.
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  • Adaptationist theorizing and intentional system theory.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (3):365-365.
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  • The microscopic analysis of behavior: Toward a synthesis of instrumental, perceptual, and cognitive ideas.Stephen Grossberg - 1984 - Behavioral and Brain Sciences 7 (4):594-595.
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