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  1. Commentary Points.Robert P. Abelson - 1983 - Behavioral and Brain Sciences 6 (4):591.
  2. Going After PARRY.Robert P. Abelson - 1981 - Behavioral and Brain Sciences 4 (4):534.
  3. Searle's Argument is Just a Set of Chinese Symbols.Robert P. Abelson - 1980 - Behavioral and Brain Sciences 3 (3):424.
  4. Imagining the Purpose of Imagery.Robert P. Abelson - 1979 - Behavioral and Brain Sciences 2 (4):548-549.
  5. The Effect of Neighborhood Frequency in Reading: Evidence with Transposed-Letter Neighbors.Joana Acha & Manuel Perea - 2008 - Cognition 108 (1):290-300.
  6. Explanation and Acceptability.Peter Achinstein - 1989 - Behavioral and Brain Sciences 12 (3):467.
  7. Looking for Cognition in the Structure Within the Noise.A. David Redish Adam Johnson, André A. Fenton, Cliff Kentros - 2009 - Trends in Cognitive Sciences 13 (2):55.
  8. Defense Motivational System: Issues of Emotion, Reinforcement, and Neural Structure.David Adams - 1982 - Behavioral and Brain Sciences 5 (4):675.
  9. Motivational Systems: Fear or Defense? Pain or Recuperation?David B. Adams - 1980 - Behavioral and Brain Sciences 3 (2):301.
  10. What is Iconic Storage Good For?Edward H. Adelson - 1983 - Behavioral and Brain Sciences 6 (1):11.
  11. The Practical Logic of Computer Work.Philip E. Agre - 2002 - In Matthias Scheutz (ed.), Computationalism: New Directions. MIT Press.
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  12. Introduction to “The Material Bases of Cognition”.Kenneth Aizawa - 2013 - Minds and Machines 23 (3):277-286.
  13. Computation in Cognitive Science: It is Not All About Turing-Equivalent Computation.Kenneth Aizawa - 2010 - Studies in History and Philosophy of Science Part A 41 (3):227-236.
    One account of the history of computation might begin in the 1930's with some of the work of Alonzo Church, Alan Turing, and Emil Post. One might say that this is where something like the core concept of computation was first formally articulated. Here were the first attempts to formalize an informal notion of an algorithm or effective procedure by which a mathematician might decide one or another logico-mathematical question. As each of these formalisms was shown to compute the same (...)
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  14. Review of Drew V. McDermott, Mind and Mechanism[REVIEW]Varol Akman - 2002 - Notre Dame Philosophical Reviews 2002 (5).
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  15. Logical, Historical and Computational Approaches.Atocha Aliseda & Donald Gillies - 2007 - In Theo A. F. Kuipers (ed.), General Philosophy of Science. Focal Issues. North Holland. pp. 431--513.
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  16. A Computational Model of Early Argument Structure Acquisition.Afra Alishahi & Suzanne Stevenson - 2008 - Cognitive Science: A Multidisciplinary Journal 32 (5):789-834.
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  17. Does Mind Matter?('Symbols, Computation, and Intentionality'by Steven W. Horst).P. B. Andersen - 1999 - Semiotica 123 (3-4):327-342.
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  18. The Myth of Computational Level Theory and the Vacuity of Rational Analysis.Barton L. Anderson - 2011 - Behavioral and Brain Sciences 34 (4):189-190.
    I extend Jones & Love's (J&L's) critique of Bayesian models and evaluate the conceptual foundations on which they are built. I argue that: (1) the part of Bayesian models is scientifically trivial; (2) theory is a fiction that arises from an inappropriate programming metaphor; and (3) the real scientific problems lie outside Bayesian theorizing.
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  19. Arithmetic on a Parallel Computer: Perception Versus Logic. [REVIEW]James A. Anderson - 2003 - Brain and Mind 4 (2):169-188.
    This article discusses the properties of a controllable, flexible, hybrid parallel computing architecture that potentially merges pattern recognition and arithmetic. Humans perform integer arithmetic in a fundamentally different way than logic-based computers. Even though the human approach to arithmetic is both slow and inaccurate it can have substantial advantages when useful approximations ( intuition ) are more valuable than high precision. Such a computational strategy may be particularly useful when computers based on nanocomponents become feasible because it offers a way (...)
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  20. Implementations, Algorithms, and More.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498.
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  21. The Newell Test for a Theory of Cognition.John R. Anderson & Christian Lebiere - 2003 - Behavioral and Brain Sciences 26 (5):587-601.
    Newell proposed that cognitive theories be developed in an effort to satisfy multiple criteria and to avoid theoretical myopia. He provided two overlapping lists of 13 criteria that the human cognitive architecture would have to satisfy in order to be functional. We have distilled these into 12 criteria: flexible behavior, real-time performance, adaptive behavior, vast knowledge base, dynamic behavior, knowledge integration, natural language, learning, development, evolution, and brain realization. There would be greater theoretical progress if we evaluated theories by a (...)
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  22. ACT-R: A Higher-Level Account of Processing Capacity.John R. Anderson, Christian Lebiere, Marsha Lovett & Lynne Reder - 1998 - Behavioral and Brain Sciences 21 (6):831-832.
    We present an account of processing capacity in the ACT-R theory. At the symbolic level, the number of chunks in the current goal provides a measure of relational complexity. At the subsymbolic level, limits on spreading activation, measured by the attentional parameter W, provide a theory of processing capacity, which has been applied to performance, learning, and individual differences data.
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  23. Embodied Cognition: A Field Guide.Michael L. Anderson - 2003 - Artificial Intelligence 149 (1):91-130.
    The nature of cognition is being re-considered. Instead of emphasizing formal operations on abstract symbols, the new approach foregrounds the fact that cognition is, rather, a situated activity, and suggests that thinking beings ought therefore be considered first and foremost as acting beings. The essay reviews recent work in Embodied Cognition, provides a concise guide to its principles, attitudes and goals, and identifies the physical grounding project as its central research focus.
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  24. Structural Description and Qualitative Content in Perception Theory.Johannes Andres & Rainer Mausfeld - 2008 - Consciousness & Cognition 17 (1):307-311.
    The paper is a critical comment on D. Hoffman. The Scrambling Theorem: A simple proof of the logical possibility of spectrum inversion. Consciousness and Cognition, 2006, 15, 31–45.
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  25. Of Mental Representations.Radical Answers - 1991 - In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer Academic Publishers. pp. 9--355.
  26. Feeling Fine About the Mind.Louise M. Antony - 1997 - Philosophy and Phenomenological Research 57 (2):381-87.
    The article presents a critique of John Searle's attack on computationalist theories of mind in his recent book, The Rediscovery of the Mind. Searle is guilty of caricaturing his opponents, and of ignoring their arguments. Moreover, his own positive theory of mind, which he claims "takes account of" subjectivity, turns out to offer no discernible advantages over the views he rejects.
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  27. Mental Graphemic Representations (MGRs).K. Apel, Julie A. Wolter & J. J. Masterson - 2011 - In Norbert M. Seel (ed.), Encyclopedia of the Sciences of Learning. Springer Verlag.
  28. Review of Computability: Turing, Gödel, Church, and Beyond. [REVIEW]Andrew Arana - 2015 - Notre Dame Philosophical Reviews 3 (20).
    A review of Computability: Turing, Gödel, Church, and Beyond by Copeland, Posy and Shagrir.
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  29. Cooperative Computation as a Concept for Brain Theory.Michael A. Arbib - 1979 - Behavioral and Brain Sciences 2 (3):475-483.
  30. The Halting Problem for Computational Cognitive Psychology.Michael A. Arbib - 1978 - Behavioral and Brain Sciences 1 (1):100.
  31. Hans Moravec, Robot. Mere Machine to Transcendent Mind, New York, NY: Oxford University Press, Inc., 1999, IX + 227 Pp., $25.00 (Cloth), ISBN 0-19-511630-. [REVIEW]Peter M. Asaro - 2001 - Minds and Machines 11 (1):143-147.
  32. Editorial.Harald Atmanspacher - 2006 - Mind and Matter 4 (1):3-5.
    Mind and Matter is conceived as an interdisciplinary journal, aimed at an educated readership interested in all aspects of mind-matter research from the perspectives of the sciences and humanities. It is devoted to the publication of empirical, theoretical, and conceptual research and the discussion of its results. The main subject areas of the journal are -- neuroscience, cognitive science, behavioral science -- physical approaches, mathematical modeling, data analysis -- philosophy of science, philosophy of mind, applied metaphysics --cultural and social studies, (...)
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  33. Language of Thought.Murat Aydede - 2017 - Oxford Bibliographies Online.
  34. Computation and Functionalism: Syntactic Theory of Mind Revisited.Murat Aydede - 2005 - In Gurol Irzik & Guven Guzeldere (eds.), Boston Studies in the History and Philosophy of Science. Springer.
    I argue that Stich's Syntactic Theory of Mind (STM) and a naturalistic narrow content functionalism run on a Language of Though story have the same exact structure. I elaborate on the argument that narrow content functionalism is either irremediably holistic in a rather destructive sense, or else doesn't have the resources for individuating contents interpersonally. So I show that, contrary to his own advertisement, Stich's STM has exactly the same problems (like holism, vagueness, observer-relativity, etc.) that he claims plague content-based (...)
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  35. Computation and Intentional Psychology.Murat Aydede - 2000 - Dialogue 39 (2):365-379.
    The relation between computational and intentional psychology has always been a vexing issue. The worry is that if mental processes are computational, then these processes, which are defined over symbols, are sensitive solely to the non-semantic properties of symbols. If so, perhaps psychology could dispense with adverting in its laws to intentional/semantic properties of symbols. Stich, as is well-known, has made a great deal out of this tension and argued for a purely "syntactic" psychology by driving a wedge between a (...)
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  36. Jerry Fodor on Non-Conceptual Content.Katalin Balog - 2009 - Synthese 167 (3):311 - 320.
    Proponents of non-conceptual content have recruited it for various philosophical jobs. Some epistemologists have suggested that it may play the role of “the given” that Sellars is supposed to have exorcised from philosophy. Some philosophers of mind (e.g., Dretske) have suggested that it plays an important role in the project of naturalizing semantics as a kind of halfway between merely information bearing and possessing conceptual content. Here I will focus on a recent proposal by Jerry Fodor. In a recent paper (...)
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  37. Responses to 'Computationalism'.1Imre Balogh, Brian Beakley, Paul Churchland, Michael Gorman, Stevan Harnad, David Mertz, H. H. Pattee, William Ramsey, John Ringen, Georg Schwarz, Brian Slator, Alan Strudler & Charles Wallis - 1990 - Social Epistemology 4 (2):155 – 199.
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  38. Can a Computer Really Model Cognition? A Case Study of Six Computational Models of Infant Word Discovery.Eleanor Olds Batchelder - 1998 - In M. A. Gernsbacher & S. J. Derry (eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. Lawerence Erlbaum.
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  39. Vagueness Intuitions and the Mobility of Cognitive Sortals.Bert Baumgaertner - 2012 - Minds and Machines 22 (3):213-234.
    One feature of vague predicates is that, as far as appearances go, they lack sharp application boundaries. I argue that we would not be able to locate boundaries even if vague predicates had sharp boundaries. I do so by developing an idealized cognitive model of a categorization faculty which has mobile and dynamic sortals (`classes', `concepts' or `categories') and formally prove that the degree of precision with which boundaries of such sortals can be located is inversely constrained by their flexibility. (...)
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  40. Dynamicists Versus Computationalists: Whither Mechanists?William Bechtel - 1998 - Behavioral and Brain Sciences 21 (5):629-629.
    Van Gelder's characterization of the differences between the dynamical and computational hypotheses, in terms of the contrast between change versus state and geometry versus structure, suggests that the dynamical approach is also at odds with classical mechanism. Dynamical and mechanistic approaches are in fact allies: mechanism can identify components whose properties define the variables that are related in dynamical analyses.
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  41. Framing the Debate Between Computational and Dynamical Approaches to Cognitive Science.Randall D. Beer - 1998 - Behavioral and Brain Sciences 21 (5):630-630.
    van Gelder argues that computational and dynamical systems are mathematically distinct kinds of systems. Although there are real experimental and theoretical differences between adopting a computational or dynamical perspective on cognition, and the dynamical approach has much to recommend it, the debate cannot be framed this rigorously. Instead, what is needed is careful study of concrete models to improve our intuitions.
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  42. Cellular Automata.Francesco Berto & Jacopo Tagliabue - 2012 - Stanford Encyclopedia of Philosophy.
    Cellular automata (henceforth: CA) are discrete, abstract computational systems that have proved useful both as general models of complexity and as more specific representations of non-linear dynamics in a variety of scientific fields. Firstly, CA are (typically) spatially and temporally discrete: they are composed of a finite or denumerable set of homogeneous, simple units, the atoms or cells. At each time unit, the cells instantiate one of a finite set of states. They evolve in parallel at discrete time steps, following (...)
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  43. Grammar Growth and Parameter Setting: Computation and Creoles.Robert C. Berwick - 1986 - Behavioral and Brain Sciences 9 (3):562.
  44. Troubles with Computationalism.Mark H. Bickhard - 1996 - In W. O'Donahue & Richard F. Kitchener (eds.), The Philosophy of Psychology. Sage Publications. pp. 173--183.
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  45. Organizations as Cognitive Systems is Knowledge an Emergent Property of Information Networks?Lucio Biggiero - unknown
    The substitution of knowledge to information as the entity that organizations process and deliver raises a number of questions concerning the nature of knowledge. The dispute on the codifiability of tacit knowledge and that juxtaposing the epistemology of practice vs. the epistemology of possession can be better faced by revisiting two crucial debates. One concerns the nature of cognition and the other the famous mind-body problem. Cognition can be associated with the capability of manipulating symbols, like in the traditional computational (...)
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  46. Critique of Structural Analysis in Modeling Cognition: A Case Study of Jackendoff's Theory.Dorrit Billman & Justin Peterson - 1989 - Philosophical Psychology 2 (3):283 – 296.
    Modeling cognition by structural analysis of representation leads to systematic difficulties which are not resolvable. We analyse the merits and limits of a representation-based methodology to modeling cognition by treating Jackendoff's Consciousness and the Computational Mind as a good case study. We note the effects this choice of methodology has on the view of consciousness he proposes, as well as a more detailed consideration of the computational mind. The fundamental difficulty we identify is the conflict between the desire for modular (...)
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  47. Will Optimality Theory Colonize All of Higher Cognition?Tamás Biró - 2010 - Behavioral and Brain Sciences 33 (5):383 - 384.
    To establish Optimality Theory as a framework in anthropology, or as a general model of higher human cognition, researchers have to demonstrate OT is convincing in a number of ways. This commentary summarizes some of them including factorial typologies, exact formulation of candidate sets and constraints, and computational plausibility.
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  48. Locality, Modularity, and Computational Neural Networks.Horst Bischof - 1997 - Behavioral and Brain Sciences 20 (3):516-517.
    There is a distinction between locality and modularity. These two terms have often been used interchangeably in the target article and commentary. Using this distinction we argue in favor of a modularity. In addition we also argue that both PDP-type networks and box-and-arrow models have their own strengths and pitfalls.
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  49. Searle's Wall.James Blackmon - 2013 - Erkenntnis 78 (1):109-117.
    In addition to his famous Chinese Room argument, John Searle has posed a more radical problem for views on which minds can be understood as programs. Even his wall, he claims, implements the WordStar program according to the standard definition of implementation because there is some ‘‘pattern of molecule movements’’ that is isomorphic to the formal structure of WordStar. Program implementation, Searle charges, is merely observer-relative and thus not an intrinsic feature of the world. I argue, first, that analogous charges (...)
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  50. Item-Specific Adaptation and the Conflict-Monitoring Hypothesis: A Computational Model.Chris Blais, Serje Robidoux, Evan F. Risko & Derek Besner - 2007 - Psychological Review 114 (4):1076-1086.
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