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Building Problem Solvers (Artificial Intelligence)

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Synopses & Reviews

Publisher Comments:

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.

Book News Annotation:

Primarily for advanced AI classes or AI programming classes, this text combines science and engineering, theory and craft, to describe the construction of AI reasoning systems, and it includes code illustrating the ideas. Assumes a thorough knowledge of Common Lisp.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.

Synopsis:

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.

Synopsis:

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.

About the Author

Kenneth D. Forbus is Professor of Computer Science and Education at Northwestern University. He is the author of Building Problem Solvers (MIT Press, 1993).Johan de Kleer directs the Systems and Practices Laboratory at the Xerox Palo Alto Research Center.

Product Details

ISBN:
9780262061575
With:
De Kleer, Johan
Author:
De Kleer, Johan
Author:
Forbus, Kenneth D.
Author:
Kleer, Johan De
Publisher:
Bradford Book
Location:
Cambridge
Subject:
Expert systems (computer science)
Subject:
Integrated Software - IBM Compatible
Subject:
Artificial Intelligence
Subject:
Programming - Systems Analysis & Design
Subject:
Miscellaneous Software
Subject:
Artificial Intelligence - General
Subject:
Software Development & Engineering - Systems
Subject:
Intelligence (AI) & Semantics
Subject:
System design
Subject:
Software Engineering-Systems Analysis and Design
Series:
Artificial Intelligence Series Building Problem Solvers
Publication Date:
19931131
Binding:
HARDCOVER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
706
Dimensions:
8.9 x 7.8 x 0.9 in
Age Level:
from 18

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Business » Accounting and Finance
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Building Problem Solvers (Artificial Intelligence) New Hardcover
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Product details 706 pages Bradford Book - English 9780262061575 Reviews:
"Synopsis" by , After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
"Synopsis" by , 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.
"Synopsis" by , 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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