Building problem solvers
Author(s)
Bibliographic Information
Building problem solvers
（The MIT Press series in artificial intelligence）
MIT Press, c1993
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Note
"A Bradford book."
Series title from "series foreword" p. [xiii]-xiv and publishers listing (page after index)
Includes bibliographical references and index
Description and Table of Contents
Description
For nearly two decades, Kenneth Forbus and Johan de Kleer have accumulated a substantial body of knowledge about the principles and practice of creating problem solvers. In some cases they are the inventors of the ideas or techniques described, and in others, participants in their development. Building Problem Solvers communicates this knowledge in a focused, cohesive manner. It is unique among standard artificial intelligence texts in combining science and engineering, theory and craft to describe the construction of AI reasoning systems, and it includes code illustrating the ideas. After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems. The diligent reader will have worked through several substantial examples, including systems that perform symbolic algebra, natural deduction, resolution, qualitative reasoning, planning, diagnosis, scene analysis, and temporal reasoning.
Table of Contents
- Classical problem-solving
- pattern-directed inference systems
- extending pattern-directed inference systems
- introduction to truth maintenance systems
- justification-based truth maintenance systems
- putting the JTMS to work
- logic-based truth maintenance systems
- putting an LTMS to work
- implementing qualitative process theory
- assumption-based truth maintenance systems
- improving the completeness of truth maintenance systems
- putting the ATMS to work
- antecedent constraint languages
- assumption-based constraint languages
- a tiny diagnosis engine
- symbolic relaxation systems
- some frontiers. Appendix: putting the programs to work.
by "Nielsen BookData"
