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Author: Marcin Milkowski
Publisher: MIT Press
ISBN: 0262313928
Category : Science
Languages : en
Pages : 257
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Book Description
A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it—from John Searle and Hilary Putnam in particular—Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation—but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.
Author: Marcin Milkowski
Publisher: MIT Press
ISBN: 0262313928
Category : Science
Languages : en
Pages : 257
Get Book Here
Book Description
A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it—from John Searle and Hilary Putnam in particular—Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation—but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.
Author: P. Mondal
Publisher: Springer
ISBN: 1137449438
Category : Philosophy
Languages : en
Pages : 239
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Book Description
This book explores how and in what ways the relationship between language, mind and computation can be conceived of, given that a number of foundational assumptions about this relationship remain unacknowledged in mainstream linguistic theory, yet continue to be the basis of theoretical developments and empirical advances.
Author: Shimon Edelman
Publisher: Oxford University Press
ISBN: 019971763X
Category : Psychology
Languages : en
Pages : 628
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Book Description
In a culmination of humanity's millennia-long quest for self knowledge, the sciences of the mind are now in a position to offer concrete, empirically validated answers to the most fundamental questions about human nature. What does it mean to be a mind? How is the mind related to the brain? How are minds shaped by their embodiment and environment? What are the principles behind cognitive functions such as perception, memory, language, thought, and consciousness? By analyzing the tasks facing any sentient being that is subject to stimulation and a pressure to act, Shimon Edelman identifies computation as the common denominator in the emerging answers to all these questions. Any system composed of elements that exchange signals with each other and occasionally with the rest of the world can be said to be engaged in computation. A brain composed of neurons is one example of a system that computes, and the computations that the neurons collectively carry out constitute the brain's mind. Edelman presents a computational account of the entire spectrum of cognitive phenomena that constitutes the mind. He begins with sentience, and uses examples from visual perception to demonstrate that it must, at its very core, be a type of computation. Throughout his account, Edelman acknowledges the human mind's biological origins. Along the way, he also demystifies traits such as creativity, language, and individual and collective consciousness, and hints at how naturally evolved minds can transcend some of their limitations by moving to computational substrates other than brains. The account that Edelman gives in this book is accessible, yet unified and rigorous, and the big picture he presents is supported by evidence ranging from neurobiology to computer science. The book should be read by anyone seeking a comprehensive and current introduction to cognitive psychology.
Author: Randall C. O'Reilly
Publisher: MIT Press
ISBN: 9780262650540
Category : Medical
Languages : en
Pages : 540
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Book Description
This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.
Author: William Frawley
Publisher:
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 358
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Book Description
Is a human being a person or a machine? Is the mind a social construction or a formal device? It is both, William Frawley tells us, and by bringing together Vygotsky's sociocultural theory of the mind and cognitive science's computational model, he shows us how this not only can but must be. To do so, Frawley focuses on language, particularly on how the computational mind uses language to mediate the internal and the external during thought. By reconciling the linguistic device and the linguistic person, he argues for a Vygotskyan cognitive science. Frawley begins by exploding the internalist/externalist dichotomy that presently drives cognitive science and falsely pits computationalism against socioculturalism. He replaces the reigning Platonic paradigm of computational mind-science with a framework based on an unusual, unified account of Wittgenstein, thus setting the stage for a Vygotskyan cognitive science centered on three aspects of mind: subjectivity, real-time operation, and breakdown. In this context, he demonstrates how computational psychology accommodates a critical aspect of Vygotskyan theory--private speech--as the mind's metacomputational regulator. An examination of certain congenital disorders (such as Williams Syndrome, Turner Syndrome, and autism) that disrupt speech further clarifies the issue of computational and cognitive control.
Author: Steven Horst
Publisher: Steven Horst
ISBN: 0984017631
Category : Philosophy
Languages : en
Pages : 452
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Book Description
Author: Sebastian A. Wagner
Publisher: GRIN Verlag
ISBN: 3640896572
Category : Psychology
Languages : en
Pages : 29
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Book Description
Essay from the year 2008 in the subject Psychology - General, grade: 1,7, University of Derby (Institut für Psychologie), course: Cognitive Psychology, language: English, abstract: In Psychology, many theories and models use process charts resembling circuit diagrams of technical devices. In this account, human behaviour and experience appears to be the result of processes taking place in the 'black box' named cognition. In this context, "computationalism is the view that computation [...] can offer an explanatory basis for cognition" (Davenport, 2008, p.1). The Computational Theory of Mind (CTM) has developed on this foundation, attempting to reveal what is inside this 'black box'. In contrast, human consciousness being a part of cognition (Harnad, 1994) seems to be beyond any scientific explanation. This essay will critically discuss the extent to which consciousness poses a problem for the CTM - regarding issues surrounding consciousness as an area of scientific study, the extent to which consciousness is explicable in computational terms, explanations of consciousness, and Dennett's (1991) different account to consciousness. It will be argued that consciousness does pose a major problem for the CTM, especially when it is conceptualised as subjective experience. It will conclude that Cognitive Science should presently focus only on certain aspects of consciousness, called the easy problems.
Author: Matthias Scheutz
Publisher: MIT Press
ISBN: 9780262194785
Category : Computers
Languages : en
Pages : 236
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Book Description
A new computationalist view of the mind that takes into account real-world issues of embodiment, interaction, physical implementation, and semantics.
Author: P. Mondal
Publisher: Palgrave Macmillan
ISBN: 9781349496785
Category : Philosophy
Languages : en
Pages : 263
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Book Description
This book explores how and in what ways the relationship between language, mind and computation can be conceived of, given that a number of foundational assumptions about this relationship remain unacknowledged in mainstream linguistic theory, yet continue to be the basis of theoretical developments and empirical advances.
Author: Susan Schneider
Publisher: MIT Press
ISBN: 0262015579
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
Preface p. ix 1 Introduction p. 1 2 The Central System as a Computational Engine p. 27 3 Jerry Fodor's Globality Challenge to the Computational Theory of Mind Kirk Ludwig p. 65 4 What LOT's Mental States Cannot Be: Ruling out Alternative Conceptions p. 91 5 Mental Symbols p. 111 6 Idiosyncratic Minds Think Alike: Modes of Presentation Reconsidered p. 135 7 Concepts: A Pragmatist Theory p. 159 8 Solving the Frege Cases p. 183 9 Conclusion p. 229 References p. 233 Index p. 249.
