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Aug 1995
ISBN 0262531356
320 pp.
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Philosophy and AI
Robert Cummins and John Pollock

"This excellent collection contains important contributions from leading researchers in artificial intelligence and philosophy, working in the intersection of these subjects, an area of intense and exciting activity in recent years. Anyone with an interest in planning, reasoning, or the nature of mind will want to read this book."
-- Gilbert Harman, Professor of Philosophy, Princeton University

Philosophers have found that the concepts and technology of artificial intelligence provide useful ways to test theories of knowledge and reason. Conversely, researchers in artificial intelligence, noting that the production of information-processing systems require a prior theory of rationality, have begun writing philosophy. Philosophy and AI presents invited contributions that focus on the different perspectives and techniques that philosophy and AI bring to the theory of rationality.

Table of Contents
 List of Contributors
 Introduction
1 Plans and Resource-Bounded Practical Reasoning
by Michael E. Bratman, David J. Israel and Martha E. Pollack
2 Cross-Domain Inference and Problem Embedding
by Robert Cummins
3 The Foundations of Psychology: A Logico-Computational Inquiry into the Concept of Mind
by Jon Dole
4 Memory, Reason, and Time: The Step-Logic Approach
by Jennifer J. Elgot-Drapkin, Michael Miller and Donald Perlis
5 Artificial Intelligence and Hard Problems: The Expected Complexity of Problem Solving
by Clark Glymour, Kevin Kelly and Peter Spirtes
6 Normative and Descriptive Ideals
by Henry Kyburg
7 Ampliative Inference, Computation, and Dialectic
by R. P. Loui
8 Probabilistic Semantics for Nonmonotonic Reasoning
by Judea Pearl
9 OSCAR: A General Theory of Rationality
by John L. Pollock
10 Models and Minds: Knowledge Representation for Natural-Language Competence
by Stuart C. Shapiro and William J. Rapaport
11 Implementing the Intentional Stance
by Yoav Shoham
12 The Dinosaur Debate: Explanatory Coherence and the Problem of Competing Hypotheses
by Paul Thagard
 Index
 
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Computational Intelligence
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