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  1. To think or not to think.William J. Rapaport - 1988 - Noûs 22 (4):585-609.
    A critical study of John Searle's Minds, Brains and Science (Cambridge, MA: Harvard University Press, 1984).
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • The human being as a bumbling optimalist: A psychologist's viewpoint.Masanao Toda - 1991 - Behavioral and Brain Sciences 14 (2):235-235.
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  • Rational agents, real people and the quest for optimality.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (2):232-232.
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  • The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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  • Do you have to be right to redescribe?Susan Goldin-Meadow & Martha Wagner Alibali - 1994 - Behavioral and Brain Sciences 17 (4):718-719.
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  • Representation: Ontogenesis and phylogenesis.Merlin Donald - 1994 - Behavioral and Brain Sciences 17 (4):714-715.
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  • Representational redescription: A question of sequence.Margaret A. Boden - 1994 - Behavioral and Brain Sciences 17 (4):708-708.
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  • (1 other version)The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
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  • (1 other version)Representational redescription and cognitive architectures.Antonella Carassa & Maurizio Tirassa - 1994 - Carassa, Antonella and Tirassa, Maurizio (1994) Representational Redescription and Cognitive Architectures. [Journal (Paginated)] 17 (4):711-712.
    We focus on Karmiloff-Smith's Representational redescription model, arguing that it poses some problems concerning the architecture of a redescribing system. To discuss the topic, we consider the implicit/explicit dichotomy and the relations between natur al language and the language of thought. We argue that the model regards how knowledge is employed rather than how it is represented in the system.
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  • Symbols and Computation A Critique of the Computational Theory of Mind.Steven Horst - 1999 - Minds and Machines 9 (3):347-381.
    Over the past several decades, the philosophical community has witnessed the emergence of an important new paradigm for understanding the mind.1 The paradigm is that of machine computation, and its influence has been felt not only in philosophy, but also in all of the empirical disciplines devoted to the study of cognition. Of the several strategies for applying the resources provided by computer and cognitive science to the philosophy of mind, the one that has gained the most attention from philosophers (...)
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  • Perceptual plasticity and theoretical neutrality: A reply to Jerry Fodor.Paul M. Churchland - 1988 - Philosophy of Science 55 (June):167-87.
    The doctrine that the character of our perceptual knowledge is plastic, and can vary substantially with the theories embraced by the perceiver, has been criticized in a recent paper by Fodor. His arguments are based on certain experimental facts and theoretical approaches in cognitive psychology. My aim in this paper is threefold: to show that Fodor's views on the impenetrability of perceptual processing do not secure a theory-neutral foundation for knowledge; to show that his views on impenetrability are almost certainly (...)
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  • Trust and Trust-Engineering in Artificial Intelligence Research: Theory and Praxis.Melvin Chen - 2021 - Philosophy and Technology 34 (4):1429-1447.
    In this paper, I will identify two problems of trust in an AI-relevant context: a theoretical problem and a practical one. I will identify and address a number of skeptical challenges to an AI-relevant theory of trust. In addition, I will identify what I shall term the ‘scope challenge’, which I take to hold for any AI-relevant theory of trust that purports to be representationally adequate to the multifarious forms of trust and AI. Thereafter, I will suggest how trust-engineering, a (...)
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  • The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...)
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  • Representational redescription, memory, and connectionism.P. J. Hampson - 1994 - Behavioral and Brain Sciences 17 (4):721-721.
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  • The risks of rationalising cognitive development.Beatrice de Gelder - 1994 - Behavioral and Brain Sciences 17 (4):713-714.
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  • Information, semiotics, and symbolic systems.Gennaro Auletta - 2007 - Semiotica 2007 (166):359-376.
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  • Précis of Beyond modularity: A developmental perspective on cognitive science.Annette Karmiloff-Smith - 1994 - Behavioral and Brain Sciences 17 (4):693-707.
    Beyond modularityattempts a synthesis of Fodor's anticonstructivist nativism and Piaget's antinativist constructivism. Contra Fodor, I argue that: (1) the study of cognitive development is essential to cognitive science, (2) the module/central processing dichotomy is too rigid, and (3) the mind does not begin with prespecified modules; rather, development involves a gradual process of “modularization.” Contra Piaget, I argue that: (1) development rarely involves stagelike domain-general change and (2) domainspecific predispositions give development a small but significant kickstart by focusing the infant's (...)
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  • Two dynamic criteria for validating claims of optimality.Geoffrey F. Miller - 1991 - Behavioral and Brain Sciences 14 (2):228-229.
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  • Intentionality is a red herring.Chris Fields & Eric Dietrich - 1987 - Behavioral and Brain Sciences 10 (4):756.
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  • Causal dispositions + sensory experience = intentionality.Karl Pfeifer - 1987 - Behavioral and Brain Sciences 10 (4):757.
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  • Dissociation, self-attribution, and redescription.George Graham - 1994 - Behavioral and Brain Sciences 17 (4):719-719.
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  • The challenge of representational redescription.Thomas R. Shultz - 1994 - Behavioral and Brain Sciences 17 (4):728-729.
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  • Representational change, generality versus specificity, and nature versus nurture: Perennial issues in cognitive research.Stellan Ohlsson - 1994 - Behavioral and Brain Sciences 17 (4):724-725.
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  • Decomposing intentionality: Perspectives on intentionality drawn from language research with two species of chimpanzees. [REVIEW]William Bechtel - 1993 - Biology and Philosophy 8 (1):1-32.
    In philosophy the term intentionality refers to the feature possessed by mental states of beingabout things others than themselves. A serious question has been how to explain the intentionality of mental states. This paper starts with linguistic representations, and explores how an organism might use linguistic symbols to represent other things. Two research projects of Sue Savage-Rumbaugh, one explicity teaching twopan troglodytes to use lexigrams intentionally, and the other exploring the ability of several members ofpan paniscus to learn lexigram use (...)
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  • Types of optimality: Who is the steersman?Michael E. Hyland - 1991 - Behavioral and Brain Sciences 14 (2):223-224.
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  • Redescribing redescription.Terry Dartnall - 1994 - Behavioral and Brain Sciences 17 (4):712-713.
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  • The example of psychology: Optimism, not optimality.Daniel S. Levine - 1991 - Behavioral and Brain Sciences 14 (2):225-226.
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  • Transforming a partially structured brain into a creative mind.Annette Karmiloff-Smith - 1994 - Behavioral and Brain Sciences 17 (4):732-745.
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  • From the decline of development to the ascent of consciousness.Philip David Zelazo - 1994 - Behavioral and Brain Sciences 17 (4):731-732.
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  • The real problem with constructivism.Paul Bloom & Karen Wynn - 1994 - Behavioral and Brain Sciences 17 (4):707-708.
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  • The strategy of optimality revisited.Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):237-245.
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  • Complexity and optimality.Dauglas A. Miller & Steven W. Zucker - 1991 - Behavioral and Brain Sciences 14 (2):227-228.
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  • Natural science, social science and optimality.Oleg Larichev - 1991 - Behavioral and Brain Sciences 14 (2):224-225.
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  • Beyond modularity: Neural evidence for constructivist principles in development.Steven R. Quartz & Terrence J. Sejnowski - 1994 - Behavioral and Brain Sciences 17 (4):725-726.
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  • Situating representational redescriptionin infants' pragmatic knowledge.Julie C. Rutkowska - 1994 - Behavioral and Brain Sciences 17 (4):726-727.
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  • Don't just sit there, optimise something.J. H. P. Paelinck - 1991 - Behavioral and Brain Sciences 14 (2):230-230.
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  • Beyond connectionist versus classical Al: A control theoretic perspective on development and cognitive science.Rick Grush - 1994 - Behavioral and Brain Sciences 17 (4):720-720.
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  • Redescription of intentionality.Norman H. Freeman - 1994 - Behavioral and Brain Sciences 17 (4):717-718.
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  • Arguments against linguistic “modularization”.Susan H. Foster-Cohen - 1994 - Behavioral and Brain Sciences 17 (4):716-717.
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  • What's getting redescribed?Robert L. Campbell - 1994 - Behavioral and Brain Sciences 17 (4):710-711.
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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  • Why optimality is not worth arguing about.Stephen E. G. Lea - 1991 - Behavioral and Brain Sciences 14 (2):225-225.
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  • The quest for plausibility: A negative heuristic for science?R. W. Byrne - 1991 - Behavioral and Brain Sciences 14 (2):217-218.
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  • (1 other version)Representational redescription and cognitive architectures.Antonella Carassa & Maurizio Tirassa - 1994 - Behavioral and Brain Sciences 17 (4):711-712.
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  • Avoid the push-pull dilemma in explanation.Kenneth M. Steele - 1991 - Behavioral and Brain Sciences 14 (2):233-234.
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  • Optimality and constraint.David A. Helweg & Herbert L. Roitblat - 1991 - Behavioral and Brain Sciences 14 (2):222-223.
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  • Optimality as a prescriptive tool.Alexander H. G. Rinnooy Kan - 1991 - Behavioral and Brain Sciences 14 (2):230-231.
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  • Organisms, scientists and optimality.Michael Davison - 1991 - Behavioral and Brain Sciences 14 (2):220-221.
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  • Modal knowledge and transmodularity.Leslie Smith - 1994 - Behavioral and Brain Sciences 17 (4):729-730.
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