Readings in Knowledge RepresentationRonald J. Brachman, Hector J. Levesque 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. |
Contents
Some Problems and NonProblems in Representation Theory | 3 |
Epistemological Problems of Artificial Intelligence | 23 |
Prologue to Reflection and Semantics in a Procedural Language | 31 |
Copyright | |
29 other sections not shown
Other editions - View all
Common terms and phrases
action ACTOR advice taker algorithm Artificial Intelligence assertion axioms believe Bobrow Brachman causal Cognitive Cognitive Science comparison note concept Conceptual Dependency context corresponding data structures deduction default defined denote described descriptor diagram discussed domain entities example explicit expressions fact first-order logic formal frame Fregean function goal Hayes hierarchy human idea implementation individual inference interpretation intervals John kind knowledge base Knowledge Representation logic MARY match meaning mechanism memory metatheory Minsky modal logic MYCIN natural language node notation notion object operations paper particular phone number pointer possible predicate calculus primitive problem solving Proc procedures programming language properties proposition question reasoning reference relations relationships represent representation language retina role rules Schank scheme semantic net semantic network sentence simple situation specific symbols TBox theorem theory things tion true understanding variables Winograd
References to this book
Active Database Systems: Triggers and Rules for Advanced Database Processing Jennifer Widom,Stefano Ceri No preview available - 1995 |
Eliciting and Analyzing Expert Judgment: A Practical Guide Mary A. Meyer,Jane M. Booker No preview available - 2001 |