Computation & Intelligence

by Luger, George F.

• ISBN13: 9780262621014
• ISBN10: 0262621010
• Format: Paperback
• Copyright: 1995-08-04
• Publisher: Aaai Pr

Summary

The two concluding selections, by Marvin Minsky and by Herbert Simon, respectively, present the recent thoughts of two of AI's pioneers who revisit the concepts and controversies that have developed during the evolution of the tools and techniques that make up the current practice of Artificial Intelligence.

Table of Contents

Acknowledgments
Introduction
The Prehistory of Android Epistemology	p. 3
Computing Machinery and Intelligence	p. 23
Steps Towards Artificial Intelligence	p. 47
Computer Science as Empirical Enquiry: Symbols and Search	p. 91
The Knowledge Level	p. 125
A Framework for Representing Knowledge	p. 165
Retrieval Time from Semantic Memory	p. 193
A Procedural Model of Language Understanding	p. 203
The Structure of Episodes in Memory	p. 235
In Defense of Logic	p. 261
Escaping Brittleness: The Possibility of General Purpose Learning Algorithms Applied to Parallel Rule-Based Systems	p. 275
The Appeal of Parallel Distributed Processing	p. 305
Intelligence Without Representation	p. 343
Empirical Explorations with the Logic Theory Machine	p. 365
Some Studies in Machine Learning Using the Game of Checkers	p. 391
GPS, A Program that Simulates Human Thought	p. 415
STRIPS: A New Approach in the Application of Theorem Proving to Problem Solving	p. 429
Blackboard Systems: The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures	p. 447
Programs with Common Sense	p. 479
Dendral and Meta-Dendral: Their Application Dimension	p. 493
Consultation Systems for Physicians	p. 511
A Truth Maintenance System	p. 529
Circumscription - A Form of Non-Monotonic Reasoning	p. 555
The Second Naive Physics Manifesto	p. 567
Paradigms for Machine Learning	p. 587
Improving Human Decision Making Through Case Based Decision Aiding	p. 597
Diagnosis Based on Description of Structure and Function	p. 623
Pengi: An Implementation of a Theory of Activity	p. 635
Logical Versus Analogical or Symbolic Versus Connectionist or Neat Versus Scruffy	p. 647
Machine as Mind	p. 675
Bibliography	p. 693
Index	p. 729
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