Machine Intelligence: Perspectives on the Computational Model

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Edition: 1st
Format: Hardcover
Pub. Date: 1998-09-01
Publisher(s): Routledge
List Price: $190.00

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Summary

Summarizes and illuminates two decades of research Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, information science, psychology, neuroscience, iconography, and philosophy. Examines initial efforts and the latest controversies The topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineageof major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning. Provides a gamut ofperspectives The editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. The substantive introductions that accompany each volume further organize the material and provide readers with a working sense of the issues and the connection between articles.

Table of Contents

Introduction vii
Machine Intelligence: The Very Idea
Computing Machinery and Intelligence
1(28)
A.M. Turing
Semantic Engines: An Introduction to Mind Design
29(35)
John Haugeland
Mind, Brains, and programs
64(25)
John R. Searle
The symbol Grounding Problem
89(13)
Stevan Harnad
Could a Machine Think
102(7)
Paul M. Churchland
Patricia Smith Churchland
On Implementing a Computation
109(12)
David J. Chalmers
Psychology, Biology, and Levels of Explanation
You Can't Play 20 Questions with Nature and Win: Projective Comments on the Papers of this Symposium
121(26)
Allen Newell
Artificial Intelligence
147(12)
A Personal View
D. Marr
Real Brains and artificial Intelligence
159(32)
George N. Reeke Jr.
Gerald M. Edelman
Making a Mind Versus Modeling the Brain: Artificial Intelligence Back at a Branchpoint
191(30)
Hubert L. Dreyfus
Stuart E. Dreyfus
Information, Computation, and Representation
What Is Information
221(19)
David Israel
John Perry
When Is Information Explicitly Represented
240(27)
David Kirsh
Machines and the Mental
267(11)
Fred Dretske
Ways of Establishing Harmony
278(13)
Daniel C. Dennett
Acknowledgments 291

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