Algorithms 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...
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| Format: | eBook |
| Language: | English |
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London :
ISTE ;
2013.
Hoboken : Wiley, 2013. |
| Series: | FOCUS Series.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| Summary: | 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. |
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| Item Description: | 7.5.1. Uniform binary random DisCSPs. |
| Physical Description: | 1 online resource (xvi, 157 pages). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118753422 1118753429 9781118753620 1118753623 9781118753521 1118753526 1848215940 9781848215948 |
| DOI: | 10.1002/9781118753620 |
