Handbook of artificial intelligence / 
edited by Paul R. Cohen and Edward A. Feigenbaum 
 -  Addison Wesley  1982 
 - xviii, 639p 
<br/><br/>includes index and bibliography 
<br/><br/>LIST OF CONTRIBUTORS; PREFACE; Chapter XI. Models of Cognition; A. OVERVIEW; B. GENERAL PROBLEM SOLVER; C. OPPORTUNISTIC PROBLEM SOLVING; D. EPAM; E. SEMANTIC NETWORK MODELS OF MEMORY; F. BELIEF SYSTEMS; Chapter XII. Automatic Deduction; A. OVERVIEW; B. THE RESOLUTION RULE OF INFERENCE; C. NONRESOLUTION THEOREM PROVING; D. THE BOYER-MOORE THEOREM PROVER; E. NONMONOTONIC LOGICS; F. LOGIC PROGRAMMING; Chapter XIII. Vision; A. OVERVIEW; B. BLOCKS-WORLD UNDERSTANDING. C. EARLY PROCESSING OF VISUAL DATAD. REPRESENTATION OF SCENE CHARACTERISTICS; E. ALGORITHMS FOR VISION; F. VISION SYSTEMS; Chapter XIV. Learning and Inductive Inference; A. OVERVIEW; B. ROTE LEARNING; C. LEARNING BY TAKING ADVICE; D. LEARNING FROM EXAMPLES; Chapter XV. Planning and Problem Solving; A. OVERVIEW; B. STRIPS AND ABSTRIPS; C. NONHIERARCHICAL PLANNING; D. HIERARCHICAL PLANNERS; E. REFINEMENT OF SKELETAL PLANS; Bibliography; List of Abbreviations; Cumulative Indexes; NAME INDEX FOR VOLUMES I, II, AND III; SUBJECT INDEX FOR VOLUMES I, II, AND III; ABOUT THIS BOOK 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial Intelligence
<br/><br/><label>Dewey Class. No.: </label>001.535  / BAR