44 found
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  1.  13
    Computational semantics: an introduction to artificial intelligence and natural language comprehension.Eugene Charniak & Yorick Wilks (eds.) - 1976 - New York: distributors for the U.S.A. and Canada, Elsevier/North Holland.
    Linguistics. Artificial intelligence. Related fields. Computation.
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  2.  9
    Making preferences more active.Yorick Wilks - 1978 - Artificial Intelligence 11 (3):197-223.
  3.  28
    Close Engagements with Artificial Companions: Key social, psychological, ethical and design issues.Yorick Wilks (ed.) - 2010 - John Benjamins Publishing.
    What will it be like to admit Artificial Companions into our society? How will they change our relations with each other? How important will they be in the emotional and practical lives of their owners since we know that people became emotionally dependent even on simple devices like the Tamagotchi? How much social life might they have in contacting each other? The contributors to this book discuss the possibility and desirability of some form of long-term computer Companions now being a (...)
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  4.  6
    A preferential, pattern-seeking, Semantics for natural language inference.Yorick Wilks - 1975 - Artificial Intelligence 6 (1):53-74.
  5.  4
    Grammar, Meaning and the Machine Analysis of Language.Yorick Wilks - 1972 - Routledge & Kegan Paul Books.
  6.  31
    Putnam and Clarke and mind and body.Yorick Wilks - 1975 - British Journal for the Philosophy of Science 26 (3):213-225.
  7. Belief ascription, metaphor, and intensional identification.Afzal Ballim, Yorick Wilks & John Barnden - 1991 - Cognitive Science 15 (1):133-171.
    This article discusses the extension of ViewGen, an algorithm derived for belief ascription, to the areas of intensional object identification and metaphor. ViewGen represents the beliefs of agents as explicit, partitioned proposition sets known as environments. Environments are convenient, even essential, for addressing important pragmatic issues of reasoning. The article concentrates on showing that the transformation of information in metaphors, intensional object identification, and ordinary, nonmetaphorical belief ascription can all be seen as different manifestations of a single environment-amalgamation process. The (...)
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  8.  19
    Beliefs, Points of View, and Multiple Environments.Yorick Wilks & Janusz Bien - 1983 - 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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  9.  21
    What Sort of Taxonomy of Causation Do We Need for Language Understanding?Yorick Wilks - 1977 - Cognitive Science 1 (3):235-264.
    A proposal is made concerning the introduction of the notions of cause and reason into a natural language understanding system. Its hypothesis is that one should prefer rational explanations of actions when dealing with human, or human‐like, agents, if one can find them in what one is analyzing, but that in other, nonhuman, cases one should prefer causal explanations. The reader is reminded of the existing state of the preference semantics system, and then are described the changes that would have (...)
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  10.  38
    CUBISM: Belief, anomaly and social constructs.Yorick Wilks, Micah Clark, Tomas By, Adam Dalton & Ian Perera - 2014 - Interaction Studies 15 (3):388-403.
    We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community (...)
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  11.  10
    Decidability and natural language.Yorick Wilks - 1971 - Mind 80 (320):497-520.
  12.  50
    The Foundations of Artificial Intelligence: A Sourcebook.Derek Partridge & Yorick Wilks (eds.) - 1990 - Cambridge University Press.
    This outstanding collection is designed to address the fundamental issues and principles underlying the task of Artificial Intelligence.
  13.  16
    CUBISM: Belief, anomaly and social constructs.Yorick Wilks, Micah Clark, Tomas By, Adam Dalton & Ian Perera - 2014 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 15 (3):388-403.
    We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system’s ultimate purpose, which is to automatically detect anomalous changes in participants’ expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community (...)
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  14.  12
    Dennett and Artificial Intelligence: On the Same Side, and If So, Of What?Yorick Wilks - 2002 - In Andrew Brook & Don Ross (eds.), Daniel Dennett. Cambridge University Press. pp. 249.
  15.  6
    One Small Head--Models and Theories in Linguistics.Yorick Wilks - 1974 - Foundations of Language 11 (1):77-95.
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  16.  11
    Searle's straw men.Yorick Wilks - 1982 - Behavioral and Brain Sciences 5 (2):344-345.
  17. Pragmatics & Cognition.Marcelo Dascal, Jens Allwood, Benny Shanon, Stephen Stich, Yorick Wilks, Itiel Dror, Edson Françozo & Amir Horowitz - 1996 - Cognition 7:1.
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  18.  28
    Moral Orthoses: A New Approach to Human and Machine Ethics.Marius Dorobantu & Yorick Wilks - 2019 - Zygon 54 (4):1004-1021.
    Machines are increasingly involved in decisions with ethical implications, which require ethical explanations. Current machine learning algorithms are ethically inscrutable, but not in a way very different from human behavior. This article looks at the role of rationality and reasoning in traditional ethical thought and in artificial intelligence, emphasizing the need for some explainability of actions. It then explores Neil Lawrence's embodiment factor as an insightful way of looking at the differences between human and machine intelligence, connecting it to the (...)
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  19.  14
    A Critical Perspective on KRL.Wendy Lehnert & Yorick Wilks - 1979 - Cognitive Science 3 (1):1-28.
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  20. Proceedings of COLING 94.Yorick Wilks (ed.) - 1994 - Kyoto:
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  21.  4
    Data-Driven Detection of Figurative Language Use in Electronic Language Resources.Wim Peters & Yorick Wilks - 2003 - Metaphor and Symbol 18 (3):161-173.
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  22.  3
    Artificial intelligence and real constraints.Yorick Wilks - 1978 - Behavioral and Brain Sciences 1 (1):120-120.
  23.  6
    A position note on natural language understanding and artificial intelligence.Yorick Wilks - 1981 - Cognition 10 (1-3):337-340.
  24.  12
    Are there really two types of learning?Yorick Wilks - 1986 - Behavioral and Brain Sciences 9 (4):671-671.
  25.  39
    Christopher clavius and the classification of sciences.Yorick Wilks - 1990 - 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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  26.  8
    Dreyfus's disproofs.Yorick Wilks - 1976 - British Journal for the Philosophy of Science 27 (2):177-185.
  27. K. Sparck Jones and J. Galliers, Evaluating natural language processing systems: An analysis and review.Yorick Wilks - 1999 - Artificial Intelligence 107 (1):165-170.
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  28.  12
    Lamarck, Artificial Intelligence (AI), and belief.Yorick Wilks - 2009 - 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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  29.  11
    Leibniz, location, and distinguishing types of sensation.Yorick Wilks - 1978 - Behavioral and Brain Sciences 1 (3):369-369.
  30.  29
    More on Fodor's distinction between strong and weak simulations.Yorick Wilks - 1974 - Philosophy of Science 41 (4):408-411.
  31.  11
    Reference and its role in computational models of mental representations.Yorick Wilks - 1988 - In Umberto Eco (ed.), Meaning and Mental Representations. Bloomington: Indiana University Press. pp. 496--221.
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  32.  23
    Relevance must be to someone.Yorick Wilks - 1987 - Behavioral and Brain Sciences 10 (4):735.
  33.  11
    Sprachverstehende Systeme in der künstlichen Intelligenz. Überblick und Vergleich.Yorick Wilks - 1977 - In Peter Eisenberg (ed.), Semantik Und Künstliche Intelligenz: Beiträge Zur Automatischen Sprachbearbeitung Ii. De Gruyter. pp. 180-230.
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  34.  5
    "The\ Fodor"-FODOR fallacy bites back.Yorick Wilks - 2001 - In Pierrette Bouillon & Federica Busa (eds.), The Language of Word Meaning. Cambridge University Press. pp. 75.
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  35.  11
    Your friends and your machines.Yorick Wilks - 1974 - Mind 83 (332):583-585.
  36.  32
    Where Metaphors Come From: Reconsidering Context in Metaphor by Zoltán Kövecses. [REVIEW]Robert R. Hoffman & Yorick Wilks - 2016 - Metaphor and Symbol 31 (1):50-52.
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  37.  36
    Book reviews. [REVIEW]Erwin M. Segal, Meredith Williams, David J. Cole, James Geller, Yorick Wilks, Shoshana Loeb, Kim Sterelny, Jerry Fodor, Sara Heinämaa & Ausonio Marras - 1993 - Minds and Machines 3 (3):335-375.
  38.  21
    Book Review: Jerry Fodor, The Mind Doesn't Work That Way, Cambridge, MA: Bradford Books/mit Press, 2000, 126 pp., ISBN: 0-262-06212-7. [REVIEW]Yorick Wilks - 2003 - Minds and Machines 13 (2):321-327.
  39.  63
    Dreyfus's disproofs. [REVIEW]Yorick Wilks - 1976 - Britis Journal for the Philosophy of Science 27 (2):177-185.
  40.  7
    Review of Frank Honywill George: Philosophical Foundations of Cybernetics[REVIEW]Yorick Wilks - 1982 - British Journal for the Philosophy of Science 33 (3):335-336.
  41.  2
    Reviews. [REVIEW]Yorick Wilks - 1979 - British Journal for the Philosophy of Science 30 (2):191-195.
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  42.  15
    Reviews. [REVIEW]Yorick Wilks - 1982 - 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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  43.  8
    Review: Dreyfus's Disproofs. [REVIEW]Yorick Wilks - 1976 - British Journal for the Philosophy of Science 27 (2):177 - 185.
  44. Review of Kenneth M. Sayre: Cybernetics and the philosophy of mind[REVIEW]Yorick Wilks - 1979 - British Journal for the Philosophy of Science 30 (2):191-195.