Case-Based Reasoning A Textbook [Hardcover]

This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.

This pioneering English-language textbook on case-based reasoning includes chapter summaries, background notes, and exercises. The class-tested, systematic presentation moves from core principles to methodology, advanced techniques, and knowledge sources.

Part I - Basics and Preliminaries.- Chap. 1 - Introduction.- Chap. 2 - Basic CBR Elements.- Chap. 3 - Extended View.- Chap. 4 - Application Examples.- Part II - Core Methods.- Chap. 5 - Case Representations.- Chap. 6 - Basic Similarity Topics.- Chap. 7 - Complex Similarity Topics.- Chap. 8 - Retrieval.- Chap. 9 - Adaptation.- Chap. 10 - Evaluation, Revisions, and Learning.- Chap. 11 - Development and Maintenance.- Part III - Advanced Elements.- Chap. 12 - Advanced CBR Elements.- Chap. 13 - Advanced Similarity Topics.- Chap. 14 - Advanced Retrieval.- Chap. 15 - Uncertainty.- Chap. 16 - Probabilities.- Part IV - Complex Knowledge Sources.- Chap. 17 - Textual CBR.- Chap. 18 - Images.- Chap. 19 - Sensor Data and Speech.- Chap. 20 - Conversational CBR.- Chap. 21 - Knowledge Management.- Part V - Appendices.- Chap. 22 - Basic Formal Definitions and Methods.- Chap. 23 - Relations and Comparisons with Other Techniques.

Prof. Michael M. Richter completed his PhD on mathematical logic at the University of Freiburg, and his Habilitation in mathematics at the University of T?bingen. He taught at the University of Texas at Austin and at RWTH Aachen, in addition to numerous visiting professorships. He was president of the German Society for Mathematical Logic and the Foundations of Exact Sciences for four years. Most recently, from 1986 he held a chair in computer science at the University of Kaiserslautern, where he was also a founding scientific l“%