Building Problem Solvers
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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. Kenneth D. Forbus is Professor of Computer Science and Education at the Institute for Learning Sciences, Northwestern University. Johan de Kleer directs the Systems and Practices Laboratory at the Xerox Palo Alto Research Center.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $90.00
Copyright year: 1993
Publisher: MIT Press
Publication date: 11/19/1993
Size: 8.50" wide x 9.50" long x 1.75" tall
|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|
|A: Putting the Programs to Work|