Applying Case-Based Reasoning. The Morgan Kaufmann Series in Artificial Intelligence

  • ID: 1757136
  • Book
  • 290 Pages
  • Elsevier Science and Technology
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Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency and reduce cost by substantially automating processes such as diagnosis, scheduling and design. A case-based reasoner works by matching new problems to "cases" from a historical database and then adapting successful solutions from the past to current situations. Organizations as diverse as IBM, VISA International, Volkswagen, British Airways, and NASA have already made use of CBR in applications such as customer support, quality assurance, aircraft maintenance, process planning, and decision support, and many more applications are easily imaginable.

It is relatively simple to add CBR components to existing information systems, as this book demonstrates. The author explains the principles of CBR by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, he goes on to show how to design and implement a reliable, robust CBR system in a real-world environment. Additional resources are provided in a survey of commercially available CBR tools, a comprehensive bibliography, and a listing of companies providing CBR software and services.
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Chapter 1: What Is Case-Based Reasoning?
Chapter 2: Understanding CBR
Chapter 3: The Application of CBR
Chapter 4: Industrial Applications of CBR
Chapter 5: CBR and Customer Service
Chapter 6: CBR Software Tools
Chapter 7: Building a Diagnostic Case-Base
Chapter 8: Building, Testing, and Maintaining Case-Bases
Chapter 9: Conclusion
Chapter 10: Bibliography
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Watson, Ian

Ian Watson is Senior Lecturer in Intelligent Systems at the University of Salford in the United Kingdom, and one of the world's most active researchers in CBR. He became interested in CBR after realizing its promise for industrial applications and its comparative ease of implementation. He is a member of the Research Centre for the Built and Human Environment (BUHU), where he continues his investigations of intelligent-systems methodologies and object-oriented programming and maintains AI-CBR, the center for CBR information on the World Wide Web.

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