Philosophy and AI

Essays at the Interface
Overview

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.

A Bradford Book

Table of Contents

  1. List of Contributors
  2. Introduction
  3. 1. Plans and Resource-Bounded Practical Reasoning

    Michael E. Bratman, David J. Israel and Martha E. Pollack

  4. 2. Cross-Domain Inference and Problem Embedding

    Robert Cummins

  5. 3. The Foundations of Psychology: A Logico-Computational Inquiry into the Concept of Mind

    Jon Dole

  6. 4. Memory, Reason, and Time: The Step-Logic Approach

    Jennifer J. Elgot-Drapkin, Michael Miller and Donald Perlis

  7. 5. Artificial Intelligence and Hard Problems: The Expected Complexity of Problem Solving

    Clark Glymour, Kevin Kelly and Peter Spirtes

  8. 6. Normative and Descriptive Ideals

    Henry Kyburg

  9. 7. Ampliative Inference, Computation, and Dialectic

    R. P. Loui

  10. 8. Probabilistic Semantics for Nonmonotonic Reasoning

    Judea Pearl

  11. 9. OSCAR: A General Theory of Rationality

    John L. Pollock

  12. 10. Models and Minds: Knowledge Representation for Natural-Language Competence

    Stuart C. Shapiro and William J. Rapaport

  13. 11. Implementing the Intentional Stance

    Yoav Shoham

  14. 12. The Dinosaur Debate: Explanatory Coherence and the Problem of Competing Hypotheses

    Paul Thagard

  15. Index