Automatic Discovery of Heuristics for Non-Deterministic Programs (Classic Reprint)
Language: English
Published by Forgotten Books, 2018
- Hardcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 37.59
Quantity: 15 available
Add to basketItem description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # LX-9780366756865
- Title
- Automatic Discovery of Heuristics for Non-Deterministic Programs (Classic Reprint)
- Author
- Salvatore J. Stolfo
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Binding
- HRD
- Language
- English
- ISBN 10
- 0366756869
- ISBN 13
- 9780366756865
- Item weight
- 270 grams
Unlock how to turn complex, non-deterministic problems into guided solutions.
This non-fiction work explains a strategy to reduce the heavy costs of non-deterministic programming by learning control heuristics from traces of sample solutions.
It introduces CRAPS, a language for describing patterns found in sequences of knowledge applications. By analyzing traces generated with human guidance, the authors show how to convert these patterns into a control framework that helps solve future problems more efficiently. The book discusses the utility of this approach, offers a concrete example, and considers the limits of the technique when training data is imperfect.
Readers will see how a production-style program can be guided from many possible paths to a more deterministic workflow. The discussion covers related ideas like meta-rules and probabilistic guidance, and it explores how these concepts might evolve to improve declarative knowledge bases and problem-solving systems.
- How declarative knowledge can be coupled with simple control patterns to reduce search costs
- The creation of CRAPS descriptions from traces of rule applications
- A practical example using a jigsaw-puzzle-style problem to illustrate learning heuristics
- Considerations about training quality, data dependence, and future directions for learning control information
Ideal for readers of artificial intelligence, machine learning, and knowledge representation who want a concrete approach to learning and applying problem-solving heuristics.
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
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