Readings in Knowledge Representation

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Ronald J. Brachman, Hector J. Levesque
M. Kaufmann Publishers, 1985 - Reference - 571 pages
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In Artificial Intelligence, it is often said that the representation of knowledge is the key to the design of robust intelligent systems. In one form or another the principles of Knowledge Representation are fundamental to work in natural language processing, computer vision, knowledge-based expert systems, and other areas. The papers reprinted in this volume have been collected to allow the reader with a general technical background in AI to explore the subtleties of this key subarea. These seminal articles, spanning a quarter-century of research, cover the most important ideas and developments in the representation field. The editors introduce each paper, discuss its relevance and context, and provide an extensive bibliography of other work. "Readings in Knowledge Representation" is intended to serve as a complete sourcebook for the study of this crucial subject.

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Some Problems and NonProblems in Representation Theory
Epistemological Problems of Artificial Intelligence
Prologue to Reflection and Semantics in a Procedural Language

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