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  1. 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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  • 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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  • 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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  • Prospects for the cyberiad: Certain limits on human self-knowledge in the cybernetic age.John Barresi - 1987 - Journal for the Theory of Social Behaviour 17 (March):19-46.
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  • (1 other version)The philosophy of computer science.Raymond Turner - 2013 - Stanford Encyclopedia of Philosophy.
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  • 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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  • 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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  • Causal dispositions + sensory experience = intentionality.Karl Pfeifer - 1987 - Behavioral and Brain Sciences 10 (4):757.
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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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  • Representation: Ontogenesis and phylogenesis.Merlin Donald - 1994 - Behavioral and Brain Sciences 17 (4):714-715.
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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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  • 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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  • Is there an implicit level of representation?Annie Vinter & Pierre Perruchet - 1994 - Behavioral and Brain Sciences 17 (4):730-731.
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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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  • 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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  • Extremum descriptions, process laws and minimality heuristics.Elliott Sober - 1991 - Behavioral and Brain Sciences 14 (2):232-233.
    The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...)
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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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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • Optimality and human memory.John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (2):215-216.
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  • Information, semiotics, and symbolic systems.Gennaro Auletta - 2007 - Semiotica 2007 (166):359-376.
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  • Optimality as an evaluative standard in the study of decision-making.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (2):216-216.
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  • A Fodorian guide to Switzerland: Jung and Piaget combined?Péter Bodor & Csaba Pléh - 1994 - Behavioral and Brain Sciences 17 (4):709-710.
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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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  • Optimality as a mathematical rhetoric for zeroes.Fred L. Bookstein - 1991 - Behavioral and Brain Sciences 14 (2):216-217.
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  • A case of different intentions concerning intentionality.W. Tom Bourbon - 1987 - Behavioral and Brain Sciences 10 (4):755.
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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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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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  • What's getting redescribed?Robert L. Campbell - 1994 - Behavioral and Brain Sciences 17 (4):710-711.
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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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  • Some optimality principles in evolution.James F. Crow - 1991 - Behavioral and Brain Sciences 14 (2):218-219.
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  • Natural selection doesn't have goals, but it's the reason organisms do.Martin Daly - 1991 - Behavioral and Brain Sciences 14 (2):219-220.
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  • Redescribing redescription.Terry Dartnall - 1994 - Behavioral and Brain Sciences 17 (4):712-713.
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  • Organisms, scientists and optimality.Michael Davison - 1991 - Behavioral and Brain Sciences 14 (2):220-221.
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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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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  • Developmental psychology for the twenty-first century.David Estes - 1994 - Behavioral and Brain Sciences 17 (4):715-716.
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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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  • Redescription of intentionality.Norman H. Freeman - 1994 - Behavioral and Brain Sciences 17 (4):717-718.
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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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  • Dissociation, self-attribution, and redescription.George Graham - 1994 - Behavioral and Brain Sciences 17 (4):719-719.
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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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  • Information and the holism of intentional content.Robert Van Gulick - 1987 - Behavioral and Brain Sciences 10 (4):759.
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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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  • Types of optimality: Who is the steersman?Michael E. Hyland - 1991 - Behavioral and Brain Sciences 14 (2):223-224.
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  • Genes, development, and the “innate” structure of the mind.Timothy D. Johnston - 1994 - Behavioral and Brain Sciences 17 (4):721-722.
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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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  • The power of explicit knowing.Deanna Kuhn - 1994 - Behavioral and Brain Sciences 17 (4):722-723.
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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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  • Why optimality is not worth arguing about.Stephen E. G. Lea - 1991 - Behavioral and Brain Sciences 14 (2):225-225.
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