Search results for 'Computational Theory' (try it on Scholar)

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  1.  86
    Gualtiero Piccinini & Sonya Bahar (2013). Neural Computation and the Computational Theory of Cognition. Cognitive Science 37 (3):453-488.
    We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...)
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  2. Bartlomiej Swiatczak (2011). Conscious Representations: An Intractable Problem for the Computational Theory of Mind. [REVIEW] Minds and Machines 21 (1):19-32.
    Advocates of the computational theory of mind claim that the mind is a computer whose operations can be implemented by various computational systems. According to these philosophers, the mind is multiply realisable because—as they claim—thinking involves the manipulation of syntactically structured mental representations. Since syntactically structured representations can be made of different kinds of material while performing the same calculation, mental processes can also be implemented by different kinds of material. From this perspective, consciousness plays a minor (...)
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  3. Jon Cogburn & Jason Megill (2010). Are Turing Machines Platonists? Inferentialism and the Computational Theory of Mind. Minds and Machines 20 (3):423-439.
    We first discuss Michael Dummett’s philosophy of mathematics and Robert Brandom’s philosophy of language to demonstrate that inferentialism entails the falsity of Church’s Thesis and, as a consequence, the Computational Theory of Mind. This amounts to an entirely novel critique of mechanism in the philosophy of mind, one we show to have tremendous advantages over the traditional Lucas-Penrose argument.
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  4.  87
    Gualtiero Piccinini (2004). The First Computational Theory of Mind and Brain: A Close Look at McCulloch and Pitts' Logical Calculus of Ideas Immanent in Nervous Activity. Synthese 141 (2):175-215.
    Despite its significance in neuroscience and computation, McCulloch and Pitts's celebrated 1943 paper has received little historical and philosophical attention. In 1943 there already existed a lively community of biophysicists doing mathematical work on neural networks. What was novel in McCulloch and Pitts's paper was their use of logic and computation to understand neural, and thus mental, activity. McCulloch and Pitts's contributions included (i) a formalism whose refinement and generalization led to the notion of finite automata (an important formalism in (...)
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  5.  54
    Louis C. Charland (1995). Feeling and Representing: Computational Theory and the Modularity of Affect. Synthese 105 (3):273-301.
    In this paper I review some leading developments in the empirical theory of affect. I argue that (1) affect is a distinct perceptual representation governed system, and (2) that there are significant modular factors in affect. The paper concludes with the observation thatfeeler (affective perceptual system) may be a natural kind within cognitive science. The main purpose of the paper is to explore some hitherto unappreciated connections between the theory of affect and the computational theory of (...)
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  6.  77
    Laura Sizer (2000). Towards a Computational Theory of Mood. British Journal for the Philosophy of Science 51 (4):743-770.
    Moods have global and profound effects on our thoughts, motivations and behavior. To understand human behavior and cognition fully, we must understand moods. In this paper I critically examine and reject the methodology of conventional ?cognitive theories? of affect. I lay the foundations of a new theory of moods that identifies them with processes of our cognitive functional architecture. Moods differ fundamentally from some of our other affective states and hence require distinct explanatory tools. The computational theory (...)
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  7. Jason L. Megill & Jon Cogburn (2005). Easy's Gettin' Harder All the Time: The Computational Theory and Affective States. Ratio 18 (3):306-316.
    We argue that A. Damasio’s (1994) Somatic Marker hypothesis can explain why humans don’t generally suffer from the frame problem, arguably the greatest obstacle facing the Computational Theory of Mind. This involves showing how humans with damaged emotional centers are best understood as actually suffering from the frame problem. We are then able to show that, paradoxically, these results provide evidence for the Computational Theory of Mind, and in addition call into question the very distinction between (...)
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  8. William J. Rapaport & Michael W. Kibby (2002). Contextual Vocabulary Acquisition: A Computational Theory and Educational Curriculum. In Nagib Callaos, Ana Breda & Ma Yolanda Fernandez J. (eds.), Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics. International Institute of Informatics and Systemics
    We discuss a research project that develops and applies algorithms for computational contextual vocabulary acquisition (CVA): learning the meaning of unknown words from context. We try to unify a disparate literature on the topic of CVA from psychology, first- and secondlanguage acquisition, and reading science, in order to help develop these algorithms: We use the knowledge gained from the computational CVA system to build an educational curriculum for enhancing students’ abilities to use CVA strategies in their reading of (...)
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  9.  72
    Kirk Ludwig & Susan Schneider (2008). Fodor's Challenge to the Classical Computational Theory of Mind. Mind and Language 23 (1):123–143.
    In The Mind Doesn’t Work that Way, Jerry Fodor argues that mental representations have context sensitive features relevant to cognition, and that, therefore, the Classical Computational Theory of Mind (CTM) is mistaken. We call this the Globality Argument. This is an in principle argument against CTM. We argue that it is self-defeating. We consider an alternative argument constructed from materials in the discussion, which avoids the pitfalls of the official argument. We argue that it is also unsound and (...)
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  10.  24
    Tomer Fekete & Shimon Edelman (2011). Towards a Computational Theory of Experience. Consciousness and Cognition 20 (3):807-827.
    A standing challenge for the science of mind is to account for the datum that every mind faces in the most immediate – that is, unmediated – fashion: its phenomenal experience. The complementary tasks of explaining what it means for a system to give rise to experience and what constitutes the content of experience (qualia) in computational terms are particularly challenging, given the multiple realizability of computation. In this paper, we identify a set of conditions that a computational (...)
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  11.  62
    Marcin Milkowski, Computational Theory of Mind.
    The Computational Theory of Mind The Computational Theory of Mind (CTM) claims that the mind is a computer, so the theory is also known as computationalism. It is generally assumed that CTM is the main working hypothesis of cognitive science. CTM is often understood as a specific variant of the Representational Theory of Mind (RTM), […].
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  12. John-Michael M. Kuczynski (2006). Two Concepts of "Form" and the so-Called Computational Theory of Mind. Philosophical Psychology 19 (6):795-821.
    According to the computational theory of mind , to think is to compute. But what is meant by the word 'compute'? The generally given answer is this: Every case of computing is a case of manipulating symbols, but not vice versa - a manipulation of symbols must be driven exclusively by the formal properties of those symbols if it is qualify as a computation. In this paper, I will present the following argument. Words like 'form' and 'formal' are (...)
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  13.  39
    John Mikhail (2008). Moral Cognition and Computational Theory. In Walter Sinnott-Armstrong (ed.), Moral Psychology Volume 3. MIT Press
    In this comment on Joshua Greene's essay, The Secret Joke of Kant's Soul, I argue that a notable weakness of Greene's approach to moral psychology is its neglect of computational theory. A central problem moral cognition must solve is to recognize (i.e., compute representations of) the deontic status of human acts and omissions. How do people actually do this? What is the theory which explains their practice?
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  14.  68
    Steven Horst, The Computational Theory of Mind. Stanford Encyclopedia of Philosophy.
    Over the past thirty years, it is been common to hear the mind likened to a digital computer. This essay is concerned with a particular philosophical view that holds that the mind literally is a digital computer (in a specific sense of “computer” to be developed), and that thought literally is a kind of computation. This view—which will be called the “Computational Theory of Mind” (CTM)—is thus to be distinguished from other and broader attempts to connect the mind (...)
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  15.  69
    Steven Horst (1999). Symbols and Computation: A Critique of the Computational Theory of Mind. 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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  16.  83
    Jeffrey Hershfield (2005). Is There Life After the Death of the Computational Theory of Mind? Minds and Machines 15 (2):183-194.
    In this paper, I explore the implications of Fodor’s attacks on the Computational Theory of Mind (CTM), which get their most recent airing in The Mind Doesn’t Work That Way. I argue that if Fodor is right that the CTM founders on the global nature of abductive inference, then several of the philosophical views about the mind that he has championed over the years founder as well. I focus on Fodor’s accounts of mental causation, psychological explanation, and intentionality.
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  17. Vinod Goel (1991). Sketches of Thought: A Study of the Role of Sketching in Design Problem-Solving and its Implications for the Computational Theory of Mind. Dissertation, University of California, Berkeley
    Much of cognitive science is based on the Computational Theory of Mind hypothesis. The claim is that the mind is in part a computer and as such requires a representational medium--a language of thought--in which to represent information and to carry out computations. ;But the Computational Theory of Mind is much more than a bland commitment to internal representations. It requires that the system of representation have some very stringent properties. In this dissertation it is demonstrated (...)
     
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  18. John-Michael Kuczynski (2007). Conceptual Atomism and the Computational Theory of Mind: A Defense of Content-Internalism and Semantic Externalism. John Benjamins & Co.
    Contemporary philosophy and theoretical psychology are dominated by an acceptance of content-externalism: the view that the contents of one's mental states are constitutively, as opposed to causally, dependent on facts about the external world. In the present work, it is shown that content-externalism involves a failure to distinguish between semantics and pre-semantics---between, on the one hand, the literal meanings of expressions and, on the other hand, the information that one must exploit in order to ascertain their literal meanings. It is (...)
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  19.  19
    Steven Horst (1996). Symbols, Computation, and Intentionality: A Critique of the Computational Theory of Mind. University of California Press.
    In this carefully argued critique, Steven Horst pronounces the theory deficient.
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  20.  11
    Janyce M. Wiebe & William J. Rapaport (1988). A Computational Theory of Perspective and Reference in Narrative. In Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics.
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters' thoughts and perceptions in third-person narrative. An effect of perspective on reference in narrative is addressed: References in passages told from the perspective of a character reflect the character's beliefs. An algorithm that uses the results of our discourse process to understand references with respect to an appropriate set of beliefs is presented.
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  21.  83
    Janyce M. Wiebe & William J. Rapaport (1988). "A Computational Theory of Perspective and Reference in Narrative",. In Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics (SUNY Buffalo). 131-138.
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters' thoughts and perceptions in third-person narrative. An effect of perspective on reference in narrative is addressed: References in passages told from the perspective of a character reflect the character's beliefs. An algorithm that uses the results of our discourse process to understand references with respect to an appropriate set of beliefs is presented.
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  22.  73
    Jason L. Megill (2004). Are We Paraconsistent? On the Lucas-Penrose Argument and the Computational Theory of Mind. Auslegung 27 (1):23-30.
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  23.  19
    K. McClelland (2014). Cycles of Conflict: A Computational Modeling Alternative to Collins's Theory of Conflict Escalation. Sociological Theory 32 (2):100-127.
    In a new theory of conflict escalation, Randall Collins (2012) engages critical issues of violent conflict and presents a compellingly plausible theoretical description based on his extensive empirical research. He also sets a new challenge for sociology: explaining the time dynamics of social interaction. However, despite heavy reliance on the quantitative concept of positive feedback loops in his theory, Collins presents no mathematical specification of the dynamic relationships among his variables. This article seeks to fill that gap by (...)
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  24.  24
    Hans D. Muller (1999). Steven W. Horst, Symbols, Computation, and Intentionality: A Critique of the Computational Theory of Mind. [REVIEW] Minds and Machines 9 (3):424-430.
  25. Takao Gunji (1982). Toward a Computational Theory of Pragmatics Discourse, Presupposition, and Implicature. Indiana University Linguistics Club.
  26.  82
    P. S. Kitcher (1988). Marr's Computational Theory of Vision. Philosophy of Science 55 (March):1-24.
    David Marr's theory of vision has been widely cited by philosophers and psychologists. I have three projects in this paper. First, I try to offer a perspicuous characterization of Marr's theory. Next, I consider the implications of Marr's work for some currently popular philosophies of psychology, specifically, the "hegemony of neurophysiology view", the theories of Jerry Fodor, Daniel Dennett, and Stephen Stich, and the view that perception is permeated by belief. In the last section, I consider what the (...)
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  27. Janyce M. Wiebe & William J. Rapaport (1988). A Computational Theory of Perspective and Reference in Narrative. In Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters'.
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  28.  26
    Rainer Reisenzein (2009). Emotional Experience in the Computational Belief-Desire Theory of Emotion. Emotion Review 1 (3):214-222.
    Based on the belief that computational modeling (thinking in terms of representation and computations) can help to clarify controversial issues in emotion theory, this article examines emotional experience from the perspective of the Computational Belief–Desire Theory of Emotion (CBDTE), a computational explication of the belief–desire theory of emotion. It is argued that CBDTE provides plausible answers to central explanatory challenges posed by emotional experience, including: the phenomenal quality,intensity and object-directedness of emotional experience, the function (...)
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  29.  25
    Michael Rescorla (2014). A Theory of Computational Implementation. Synthese 191 (6):1277-1307.
    I articulate and defend a new theory of what it is for a physical system to implement an abstract computational model. According to my descriptivist theory, a physical system implements a computational model just in case the model accurately describes the system. Specifically, the system must reliably transit between computational states in accord with mechanical instructions encoded by the model. I contrast my theory with an influential approach to computational implementation espoused by Chalmers, (...)
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  30.  9
    Terrance Tomkow, The Computational Theory of the Laws of Nature.
    A new account of the of the laws of nature based upon Algorithmic Information Theory.
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  31. Roger Fellows (1995). Welcome to Wales: Searle on the Computational Theory of Mind: Roger Fellows. Royal Institute of Philosophy Supplement 38:85-97.
    In a recent book devoted to giving an overview of cognitive science, Justin Lieber writes: …dazzingly complex computational processes achieve our visual and linguistic understanding, but apart from a few levels of representation these are as little open to our conscious view as the multitudinous rhythm of blood flow through the countless vessels of our brain. It is the aim of hundreds of workers in the allied fields of Cognitive Science and Artificial Intelligence to unmask these computation processes and (...)
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  32.  39
    Zenon W. Pylyshyn (ed.) (1986). Meaning And Cognitive Structure: Issues In The Computational Theory Of Mind. Norwood: Ablex.
  33.  21
    Louis C. Charland (1995). Emotion as a Natural Kind: Towards a Computational Foundation for Emotion Theory. Philosophical Psychology 8 (1):59-84.
    In this paper I link two hitherto disconnected sets of results in the philosophy of emotions and explore their implications for the computational theory of mind. The argument of the paper is that, for just the same reasons that some computationalists have thought that cognition may be a natural kind, so the same can plausibly be argued of emotion. The core of the argument is that emotions are a representation-governed phenomenon and that the explanation of how they figure (...)
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  34.  23
    Don Mathis & Michael Mozer (1996). Conscious and Unconscious Perception: A Computational Theory. In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum 324-328.
  35.  4
    Bipin Indurkhya (1987). Approximate Semantic Transference: A Computational Theory of Metaphors and Analogies. Cognitive Science 11 (4):445-480.
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  36.  37
    Keith Butler (1996). Individualism and Marr's Computational Theory of Vision. Mind and Language 11 (4):313-37.
  37.  3
    Michael Pazzani (1991). A Computational Theory of Learning Causal Relationships. Cognitive Science 15 (3):401-424.
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  38.  21
    Pirmin Stekeler-Weithofer (2008). The Computational Theory of Mind and the Decomposition of Actions. Philosophical Topics 36 (2):63-86.
  39.  7
    Craig DeLancey (1997). Emotion and the Computational Theory of Mind. In S. O'Nuillain, Paul McKevitt & E. MacAogain (eds.), Two Sciences of Mind. John Benjamins
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  40.  6
    Roger Fellows (1995). Welcome to Wales: Searle on the Computational Theory of Mind. In Philosophy and Technology. New York: Cambridge University Press 85-97.
  41.  1
    Robert L. Greene (1994). Why Do We Need a Computational Theory of Laboratory Tasks? Behavioral and Brain Sciences 17 (4):668.
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  42.  8
    Robert Cummins (1988). "Computational Theory: Critical Discussion of Pylyshyn, Computation and Cognition.". Canadian Journal of Philosophy 18 (1):147-162.
  43. Paul Thagard (1987). Zenon W. Pylyshyn and William Demopoulos, Eds., Meaning and Cognitive Structure: Issues in the Computational Theory of Mind Reviewed By. [REVIEW] Philosophy in Review 7 (10):422-423.
     
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  44.  2
    Sachiko Kinoshita (1994). Does a Computational Theory of Human Memory Need Intelligence? Behavioral and Brain Sciences 17 (4):673.
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  45.  3
    Author unknown, Moral Cognition and Computational Theory.
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  46. C. Castelfranchi (1995). Self-Awareness: Notes for a Computational Theory of Intrapsychic Social Interaction. In Giuseppe Trautteur (ed.), Consciousness: Distinction and Reflection. Bibliopolis 55--80.
     
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  47. L. Jonathan Cohen (1980). Some Defects in Fodor' ‘ComputationalTheory. Behavioral and Brain Sciences 3 (1):75.
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  48. T. Fekete & S. Edelman (forthcoming). Prolegomena to a Computational Theory of Experience. Consciousness and Cognition. Under Review.
     
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  49. K. Holyoak (1996). Thagard. P.(1989). Analogical Mapping by Constraint Satisfaction: A Computational Theory. Cognitive Science 13.
     
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  50. A. Marras (1998). Intentionality and the Computational Theory of the Mind. Metalogicon 2:81-102.
     
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