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The Language of Thought

Noûs 14 (1):120-124 (1975)

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  1. The view of language.Michael Studdert-Kennedy - 1990 - Behavioral and Brain Sciences 13 (4):758-759.
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  • Mapping speech: More analysis, less synthesis, please.Michael Studdert-Kennedy - 1983 - Behavioral and Brain Sciences 6 (2):218-219.
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  • Reasons and Entailment.Bart Streumer - 2007 - Erkenntnis 66 (3):353-374.
    What is the relation between entailment and reasons for belief? In this paper, I discuss several answers to this question, and I argue that these answers all face problems. I then propose the following answer: for all propositions p1,...,pn and q, if the conjunction of p1,..., and pn entails q, then there is a reason against a person's both believing that p1,..., and that pn and believing the negation of q. I argue that this answer avoids the problems that the (...)
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  • Neo-Lamarckism, or, The rediscovery of culture.Gary W. Strong - 1990 - Behavioral and Brain Sciences 13 (1):92-93.
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  • Optimal confusion.Stephanie Stolarz-Fantino & Edmund Fantino - 1991 - Behavioral and Brain Sciences 14 (2):234-234.
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  • From data to dynamics: The use of multiple levels of analysis.Gregory O. Stone - 1988 - Behavioral and Brain Sciences 11 (1):54-55.
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  • Paying the price for methodological solipsism.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):97-98.
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  • From connectionism to eliminativism.Stephen P. Stich - 1988 - Behavioral and Brain Sciences 11 (1):53-54.
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  • Computation without representation.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):152-152.
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  • Cognition and content in nonhuman species.Stephen P. Stich - 1978 - Behavioral and Brain Sciences 1 (4):604-605.
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  • Sensory variables and stages of human information processing.Saul Sternberg - 1979 - Behavioral and Brain Sciences 2 (2):282-283.
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  • Supermachines and superminds.Eric Steinhart - 2003 - Minds and Machines 13 (1):155-186.
    If the computational theory of mind is right, then minds are realized by machines. There is an ordered complexity hierarchy of machines. Some finite machines realize finitely complex minds; some Turing machines realize potentially infinitely complex minds. There are many logically possible machines whose powers exceed the Church–Turing limit (e.g. accelerating Turing machines). Some of these supermachines realize superminds. Superminds perform cognitive supertasks. Their thoughts are formed in infinitary languages. They perceive and manipulate the infinite detail of fractal objects. They (...)
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  • Radical constructivism in biology and cognitive science.John Stewart - 2001 - Foundations of Science 6 (1-3):99-124.
    This article addresses the issue of objectivism vs constructivism in two areas,biology and cognitive science, which areintermediate between the natural sciences suchas physics (where objectivism is dominant) andthe human and social sciences (whereconstructivism is widespread). The issues inbiology and in cognitive science are intimatelyrelated; in each of these twin areas, the objectivism vs constructivism issue isinterestingly and rather evenly balanced; as aresult, this issue engenders two contrastingparadigms, each of which has substantialspecific scientific content. The neo-Darwinianparadigm in biology is closely resonant (...)
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  • Quel Arrière-plan pour l'esprit?Pierre Steiner - 2006 - Dialogue 45 (3):419-444.
    This article analyzes the notion of background capacities as developed by John Searle during the last twenty years in philosophy of mind. Broadly construed, this notion designates non-representational mental capacities as the means by which mental representations are given a precise semantic content and thus are able to be expressed. Though novel and relevant, I intend to show that, according to Searle's description, this notion proves inadequate to attain its descriptive and explicative goals. I go on to regard background capacities (...)
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  • Of cockroaches as kings.Robert J. Sternberg - 1990 - Behavioral and Brain Sciences 13 (1):91-91.
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  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • Learning, selection, and species.Kim Sterelny - 1990 - Behavioral and Brain Sciences 13 (1):90-91.
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  • Implicit versus explicit computation.Kent A. Stevens - 1987 - Behavioral and Brain Sciences 10 (3):387-388.
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  • Is absolute time relatively interesting?Robert J. Sternberg - 1979 - Behavioral and Brain Sciences 2 (2):281-282.
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  • Controlled versus automatic processing.Robert J. Sternberg - 1985 - Behavioral and Brain Sciences 8 (1):32-33.
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  • Categories, categorisation and development: Introspective knowledge is no threat to functionalism.Kim Sterelny - 1993 - Behavioral and Brain Sciences 16 (1):81-83.
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  • Can computers be creative, or even disappointed?Robert J. Sternberg - 1994 - Behavioral and Brain Sciences 17 (3):553-554.
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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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  • The developmental history of an illusion.Keith E. Stanovich - 1993 - Behavioral and Brain Sciences 16 (1):80-81.
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  • Species, languages, and the horizontal/vertical distinction.David N. Stamos - 2002 - Biology and Philosophy 17 (2):171-198.
    In addition to the distinction between species as a category and speciesas a taxon, the word species is ambiguous in a very different butequally important way, namely the temporal distinction between horizontal andvertical species. Although often found in the relevant literature, thisdistinction has thus far remained vague and undefined. In this paper the use ofthe distinction is explored, an attempt is made to clarify and define it, andthen the relation between the two dimensions and the implications of thatrelation are examined. (...)
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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 hippocampus, space, and human amnesia.Larry R. Squire - 1979 - Behavioral and Brain Sciences 2 (4):514-515.
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  • The Language of Thought: A New Philosophical Direction, by Susan Schneider.Mark Sprevak - 2019 - Mind 128 (510):555-564.
    The Language of Thought: A New Philosophical Direction, by SchneiderSusan. Cambridge, MA: MIT Press, 2011. Pp. xii + 259.
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  • The evolution of the language faculty: A paradox and its solution.Dan Sperber - 1990 - Behavioral and Brain Sciences 13 (4):756-758.
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  • Salvaging parts of the “classical theory” of categorization.Dan Sperber - 1986 - Behavioral and Brain Sciences 9 (4):668-668.
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  • Quinian bootstrapping or Fodorian combination? Core and constructed knowledge of number.Elizabeth S. Spelke - 2011 - Behavioral and Brain Sciences 34 (3):149-150.
    According to Carey (2009), humans construct new concepts by abstracting structural relations among sets of partly unspecified symbols, and then analogically mapping those symbol structures onto the target domain. Using the development of integer concepts as an example, I give reasons to doubt this account and to consider other ways in which language and symbol learning foster conceptual development.
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  • Critical duration, supersummation, and the narrow domain of strength-duration experiments.George Sperling - 1979 - Behavioral and Brain Sciences 2 (2):279-281.
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  • Two outbreaks of lawlessness in recent philosophy of biology.Elliott Sober - 1997 - Philosophy of Science 64 (4):467.
    John Beatty (1995) and Alexander Rosenberg (1994) have argued against the claim that there are laws in biology. Beatty's main reason is that evolution is a process full of contingency, but he also takes the existence of relative significance controversies in biology and the popularity of pluralistic approaches to a variety of evolutionary questions to be evidence for biology's lawlessness. Rosenberg's main argument appeals to the idea that biological properties supervene on large numbers of physical properties, but he also develops (...)
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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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  • Anatomizing the rhinoceros.Elliott Sober - 1990 - Behavioral and Brain Sciences 13 (4):764-765.
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  • Small statistical aberrations and mutual information.Paul Snow - 1990 - Behavioral and Brain Sciences 13 (2):387-387.
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  • Computation and symbolization.William E. Smythe - 1980 - Behavioral and Brain Sciences 3 (1):151-152.
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  • Whither cross-cultural perception?Daniel W. Smothergill - 1989 - Behavioral and Brain Sciences 12 (1):93-94.
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • Representation and knowledge are not the same thing.Leslie Smith - 1999 - Behavioral and Brain Sciences 22 (5):784-785.
    Two standard epistemological accounts are conflated in Dienes & Perner's account of knowledge, and this conflation requires the rejection of their four conditions of knowledge. Because their four metarepresentations applied to the explicit-implicit distinction are paired with these conditions, it follows by modus tollens that if the latter are inadequate, then so are the former. Quite simply, their account misses the link between true reasoning and knowledge.
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  • Modal knowledge and transmodularity.Leslie Smith - 1994 - Behavioral and Brain Sciences 17 (4):729-730.
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  • Fodor on Language Comprehension as Inferential Process: A Phenomenological Critique.Kevin Smith - 1987 - Journal of Phenomenological Psychology 18 (1-2):143-186.
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  • Category differences/automaticity.Edward E. Smith - 1986 - Behavioral and Brain Sciences 9 (4):667-667.
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  • Are species intelligent? Look for genetic knowledge structures.J. David Smith - 1990 - Behavioral and Brain Sciences 13 (1):89-90.
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  • A new abstract code or the new possibility of multiple codes?Annette Karmiloff Smith - 1983 - Behavioral and Brain Sciences 6 (1):149-150.
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  • Classical antecedents for modern metaphors for memory.Jocelyn Penny Small - 1996 - Behavioral and Brain Sciences 19 (2):208-208.
    Classical antiquity provides not just the storehouse metaphor, which postdates Plato, but also parts of the correspondence metaphor. In the fifth century B.C., Thucydides (1.22) considered the role of gist and accuracy in writing history, and Aristotle (Poetics1451b, 1460b 8–11) offered an explanation. Finally, the Greek for truth (alêtheia) means “that which is not forgotten.”.
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  • Computational processes, representations and propositional attitudes.J. J. C. Smart - 1980 - Behavioral and Brain Sciences 3 (1):97-97.
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  • Rethinking folk-psychology: Alternatives to theories of mind.Marc Slors & Cynthia Macdonald - 2008 - Philosophical Explorations 11 (3):153 – 161.
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  • Deep and shallow simulations.Aaron Sloman - 1981 - Behavioral and Brain Sciences 4 (4):548-548.
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