Machine Learning. An Artificial Intelligence Approach, Volume I

Content: 
Front Matter, Page iii
Copyright, Page iv
PREFACE, Pages v-vi
ACKNOWLEDGEMENTS, Page vi
1 - AN OVERVIEW OF MACHINE LEARNING, Pages 3-23
2 - WHY SHOULD MACHINES LEARN?, Pages 25-37
3 - A COMPARATIVE REVIEW OF SELECTED METHODS FOR LEARNING FROM EXAMPLES, Pages 41-81
4 - A THEORY AND METHODOLOGY OF INDUCTIVE LEARNING, Pages 83-134
5 - LEARNING BY ANALOGY: FORMULATING AND GENERALIZING PLANS FROM PAST EXPERIENCE, Pages 137-161
6 - LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS, Pages 163-190
7 - ACQUISITION OF PROOF SKILLS IN GEOMETRY, Pages 191-219
8 - USING PROOFS AND REFUTATIONS TO LEARN FROM EXPERIENCE, Pages 221-240
9 - THE ROLE OF HEURISTICS IN LEARNING BY DISCOVERY: THREE CASE STUDIES, Pages 243-306
10 - REDISCOVERING CHEMISTRY WITH THE BACON SYSTEM, Pages 307-329
11 - LEARNING FROM OBSERVATION: CONCEPTUAL CLUSTERING, Pages 331-363
12 - MACHINE TRANSFORMATION OF ADVICE INTO A HEURISTIC SEARCH PROCEDURE, Pages 367-403
13 - LEARNING BY BEING TOLD: ACQUIRING KNOWLEDGE FOR INFORMATION MANAGEMENT, Pages 405-427
14 - THE INSTRUCTIBLE PRODUCTION SYSTEM: A RETROSPECTIVE ANALYSIS, Pages 429-459
15 - LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES, Pages 463-482
16 - INFERRING STUDENT MODELS FOR INTELLIGENT COMPUTER-AIDED INSTRUCTION, Pages 483-510
COMPREHENSIVE BIBLIOGRAPHY OF MACHINE LEARNING, Pages 511-549
GLOSSARY OF SELECTED TERMS IN MACHINE LEARNING, Pages 551-556
ABOUT THE AUTHORS, Pages 557-562
AUTHOR INDEX, Pages 563-565
SUBJECT INDEX, Pages 567-572