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Yorick Wilks [28]Y. Wilks [7]
  1. Yorick Wilks (2009). Lamarck, Artificial Intelligence (AI), and Belief. Behavioral and Brain Sciences 32 (6):538-539.
    Nothing in McKay & Dennett's (M&D's) target article deals with the issue of how the adaptivity, or some other aspect, of beliefs might become a biological adaptation; which is to say, how the functions discussed might be coded in such a way in the brain that their development was also coded in gametes or sex transmission cells.
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  2. Yorick Wilks (2003). Book Review: Jerry Fodor, the Mind Doesn't Work That Way, Cambridge, MA: Bradford Books/MIT Press, 2000, 126 Pp., ISBN: 0-262-06212-. [REVIEW] Minds and Machines 13 (2):321-327.
  3. Y. Wilks (2002). What is Lexical Tuning? Journal of Semantics 19 (2):167-190.
    The paper contrasts three approaches to the extension of lexical sense: what we shall call, respectively, lexical tuning; a second based on lexical closeness and relaxation; and a third known as underspecification, or the use of lexical rules. These approaches have quite different origins in artificial intelligence (AI) and linguistics, and involve corpus input, lexicons and knowledge bases in quite different ways. Moreover, the types of sense extension they claim to deal with in their principal examples are different as well. (...)
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  4. Yorick Wilks (2002). Dennett and Artificial Intelligence: On the Same Side, and If So, Of What? In Andrew Brook & Don Ross (eds.), Daniel Dennett. Cambridge University Press. 249.
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  5. Yorick Wilks (2001). The\ Fodor"-FODOR Fallacy Bites Back. In Pierrette Bouillon & Federica Busa (eds.), The Language of Word Meaning. Cambridge University Press. 75.
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  6. Marcelo Dascal, Jens Allwood, Benny Shanon, Stephen Stich, Yorick Wilks, Itiel Dror, Edson Françozo & Amir Horowitz (1996). Pragmatics & Cognition. Cognition 7:1.
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  7. Erwin M. Segal, Meredith Williams, David J. Cole, James Geller, Yorick Wilks, Shoshana Loeb, Kim Sterelny, Jerry Fodor, Sara Heinämaa & Ausonio Marras (1993). Book Reviews. [REVIEW] Minds and Machines 3 (3):335-375.
  8. Afzal Ballim, Yorick Wilks & John Barnden (1991). Belief Ascription, Metaphor, and Intensional Identification. Cognitive Science 15 (1):133-171.
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  9. Derek Partridge & Y. Wilks (eds.) (1990). The Foundations of Artificial Intelligence: A Sourcebook. Cambridge University Press.
    This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
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  10. Y. Wilks (1990). Form and Content in Semantics. Synthese 82 (3):329-51.
    This paper continues a strain of intellectual complaint against the presumptions of certain kinds of formal semantics (the qualification is important) and their bad effects on those areas of artificial intelligence concerned with machine understanding of human language. After some discussion of the use of the term epistemology in artificial intelligence, the paper takes as a case study the various positions held by McDermott on these issues and concludes, reluctantly, that, although he has reversed himself on the issue, there was (...)
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  11. Y. Wilks (1990). Models and Theories in Artificial Intelligence. In Derek Partridge & Y. Wilks (eds.), The Foundations of Artificial Intelligence: A Sourcebook. Cambridge University Press.
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  12. Yorick Wilks (1990). Christopher Clavius and the Classification of Sciences. Synthese 83 (2):293-300.
    I discuss two questions: (1) would Duhem have accepted the thesis of the continuity of scientific methodology? and (2) to what extent is the Oxford tradition of classification/subalternation of sciences continuous with early modern science? I argue that Duhem would have been surprised by the claim that scientific methodology is continuous; he expected at best only a continuity of physical theories, which he was trying to isolate from the perpetual fluctuations of methods and metaphysics. I also argue that the evidence (...)
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  13. Yorick Wilks (1988). Reference and its Role in Computational Models of Mental Representations. In Umberto Eco (ed.), Meaning and Mental Representations. Bloomington: Indiana University Press. 496--221.
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  14. Yorick Wilks (1987). Relevance Must Be to Someone. Behavioral and Brain Sciences 10 (4):735.
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  15. Yorick Wilks (1986). Are There Really Two Types of Learning? Behavioral and Brain Sciences 9 (4):671.
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  16. Y. Wilks (1985). R. Brachman and J. Schmolze, An Overview of the KL-ONE Knowledge Representation Syste. Cognitive Science 9:1999.
     
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  17. Y. Wilks (1984). Machines and Consciousness. In Christopher Hookway (ed.), Minds, Machines and Evolution. Cambridge University Press.
     
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  18. Yorick Wilks & Janusz Bien (1983). Beliefs, Points of View, and Multiple Environments. Cognitive Science 7 (2):95-119.
    The paper describes a system for dealing with nestings of belief in terms of the mechanism of computational environment. A method is offered for computing the beliefs of A about B (and so on) in terms of the systems existing knowledge structures about A and B separately. A proposal for belief percolation is put forward: percolation being a side effect of the process of the computation of nested beliefs, but one which could explain the acquisition of unsupported beliefs. It is (...)
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  19. Y. Wilks (1982). Some Thoughts on Procedural Semantics. In W. Lehnert (ed.), Strategies for Natural Language Processing. Lawrence Erlbaum.
     
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  20. Yorick Wilks (1982). Reviews. [REVIEW] British Journal for the Philosophy of Science 33 (3):191-195.
    When John von Neumann turned his interest to computers, he was one of the leading mathematicians of his time. In the 1940s, he helped design two of the first stored-program digital electronic computers. He authored reports explaining the functional organization of modern computers for the first time, thereby influencing their construction worldwide (von Neumann, 1945; Burks et al., 1946). In the first of these reports, von Neumann described the computer as analogous to a brain, with an input “organ” (analogous to (...)
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  21. Yorick Wilks (1982). Searle's Straw Men. Behavioral and Brain Sciences 5 (2):344.
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  22. Yorick Wilks (1981). A Position Note on Natural Language Understanding and Artificial Intelligence. Cognition 10 (1-3):337-340.
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  23. Wendy Lehnert & Yorick Wilks (1979). A Critical Perspective on KRL. Cognitive Science 3 (1):1-28.
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  24. Yorick Wilks (1979). Reviews. [REVIEW] British Journal for the Philosophy of Science 30 (2):191-195.
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  25. Yorick Wilks (1978). Artificial Intelligence and Real Constraints. Behavioral and Brain Sciences 1 (1):120.
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  26. Yorick Wilks (1978). Leibniz, Location, and Distinguishing Types of Sensation. Behavioral and Brain Sciences 1 (3):369.
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  27. Yorick Wilks (1977). What Sort of Taxonomy of Causation Do We Need for Language Understanding? Cognitive Science 1 (3):235-264.
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  28. Eugene Charniak & Yorick Wilks (eds.) (1976). Computational Semantics: An Introduction to Artificial Intelligence and Natural Language Comprehension. Distributors for the U.S.A. And Canada, Elsevier/North Holland.
  29. Yorick Wilks (1976). Dreyfus's Disproofs. [REVIEW] Britis Journal for the Philosophy of Science 27 (2):177-185.
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  30. Yorick Wilks (1976). Review: Dreyfus's Disproofs. [REVIEW] British Journal for the Philosophy of Science 27 (2):177 - 185.
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  31. Yorick Wilks (1975). Putnam and Clarke and Mind and Body. British Journal for the Philosophy of Science 26 (3):213-225.
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  32. Yorick Wilks (1974). More on Fodor's Distinction Between Strong and Weak Simulations. Philosophy of Science 41 (4):408-411.
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  33. Yorick Wilks (1974). One Small Head--Models and Theories in Linguistics. Foundations of Language 11 (1):77-95.
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  34. Yorick Wilks (1974). Your Friends and Your Machines. Mind 83 (332):583-585.
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  35. Yorick Wilks (1971). Decidability and Natural Language. Mind 80 (320):497-520.
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