Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems
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BookPal × TalezoAlgorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems
DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed Artificial Intelligence.
A wide variety of problems in artificial intelligence are solved using the constraint satisfaction problem paradigm. However, there are several applications in multi-agent coordination that are of a distributed nature. In this type of application, the knowledge about the problem, that is, variables and constraints, may be logically or geographically distributed among physical distributed agents. This distribution is mainly due to privacy and/or security requirements. Therefore, a distributed model allowing a decentralized solving process is more adequate to model and solve such kinds of problem. The distributed constraint satisfaction problem has such properties.
Details
- Publisher
- Wiley
- Author
- Mohamed Wahbi
- Format
- Hardcover
- Published
- Jul 10, 2013
- ISBN-13
- 9781848215948
- Pages
- 176
- Carton quantity
- 28 copies
Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 99 | $151.26 | 15% off list |
| 100 – 249 | $149.48 | 16% off list |
| 250 – 499 | $147.70 | 17% off list |
| 500 – 999 | $145.92 | 18% off list |
| 1,000+ | $142.36 | 20% off list |
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