Philosophy and Al - Essays at the Interface

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 requires a prior theory of rationality, have begun writing philosophy. Philosophy and AIpresents invited contributions that focus on the different perspectives and techniques that philosophy and AI bring to the theory of rationality. Contents: Plans and Resource-Bounded Practical Reasoning, Michael E. Bratman, David J. Israel, and Martha E. Pollack.Cross Domain Inference and Problem Embedding, Robert Cummins.The Foundations of Psychology, Jon Doyle.Memory, Reason, and Time: The Step-logic Approach, Jennifer J. Elgot-Drapkin, Michael Miller, and Donald Perlis.Artificial Intelligence and Hard Problems: The Expected Complexity of Problem Solving, Clark Glymour, Kevin Kelly, and Peter Spirtes.Normative and Descriptive Ideals, Henry Kyburg. Ampliative Inference, Computation, and Dialectic, R. P. Loui.Probabilistic Semantics for Nonmonotonic Reasoning, Judea Pearl.Oscar: A General Theory of Rationality, John L. Pollock.Knowledge Representation for NaturalLanguage Competence. Stuart C. Shapiro and William J. Rapaport.Implementing the Intentional Stance, Yoav Shoham.The Dinosaur Debate: Explanatory Coherence and the Problem of Competing Hypotheses, Paul Thagard. A Bradford Book