E-Book, Englisch, 658 Seiten, Web PDF
Cohen / Feigenbaum The Handbook of Artificial Intelligence
1. Auflage 2014
ISBN: 978-1-4832-1439-9
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark
Volume 3
E-Book, Englisch, 658 Seiten, Web PDF
ISBN: 978-1-4832-1439-9
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark
The Handbook of Artificial Intelligence, Volume I focuses on the progress in artificial intelligence (AI) and its increasing applications, including parsing, grammars, and search methods. The book first elaborates on AI, AI handbook and literature, problem representation, search methods, and sample search programs. The text then ponders on representation of knowledge, including survey of representation techniques and representation schemes. The manuscript explores understanding natural languages, as well as machine translation, grammars, parsing, test generation, and natural language processing systems. The book also takes a look at understanding spoken language, including systems architecture and the ARPA SUR projects. The text is a valuable source of information for computer science experts and researchers interested in pursuing further research in artificial intelligence
Autoren/Hrsg.
Weitere Infos & Material
1;Front Cover;1
2;The Handbook of Artificial Intelligence;4
3;Copyright Page;5
4;Table of Contents;8
5;Dedication;6
6;LIST OF CONTRIBUTORS;12
7;PREFACE;14
8;Chapter XI. Models of Cognition;20
8.1;A. OVERVIEW;22
8.2;B. GENERAL PROBLEM SOLVER;30
8.3;C. OPPORTUNISTIC PROBLEM SOLVING;41
8.4;D. EPAM;47
8.5;E. SEMANTIC NETWORK MODELS OF MEMORY;55
8.6;F. BELIEF SYSTEMS;84
9;Chapter XII. Automatic Deduction;94
9.1;A. OVERVIEW;96
9.2;B. THE RESOLUTION RULE OF INFERENCE;105
9.3;C. NONRESOLUTION THEOREM PROVING;113
9.4;D. THE BOYER-MOORE THEOREM PROVER;121
9.5;E. NONMONOTONIC LOGICS;133
9.6;F. LOGIC PROGRAMMING;139
10;Chapter XIII. Vision;144
10.1;A. OVERVIEW;146
10.2;B. BLOCKS-WORLD UNDERSTANDING;158
10.3;C. EARLY PROCESSING OF VISUAL DATA;214
10.4;D. REPRESENTATION OF SCENE CHARACTERISTICS;257
10.5;E. ALGORITHMS FOR VISION;298
10.6;F. VISION SYSTEMS;320
11;Chapter XIV. Learning and Inductive Inference;342
11.1;A. OVERVIEW;344
11.2;B. ROTE LEARNING;354
11.3;C. LEARNING BY TAKING ADVICE;364
11.4;D. LEARNING FROM EXAMPLES;379
12;Chapter XV. Planning and Problem Solving;532
12.1;A. OVERVIEW;534
12.2;B. STRIPS AND ABSTRIPS;542
12.3;C. NONHIERARCHICAL PLANNING;550
12.4;D. HIERARCHICAL PLANNERS;560
12.5;E. REFINEMENT OF SKELETAL PLANS;576
13;Bibliography;582
14;List of Abbreviations;583
15;Cumulative Indexes;606
16;NAME INDEX FOR VOLUMES I, II, AND III;608
17;SUBJECT INDEX FOR VOLUMES I, II, AND III;620
18;ABOUT THIS BOOK;659
