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Algorithms and ordering heuristics f...

Wahbi, Mohamed.

Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1/ Mohamed Wahbi.
作者:	Wahbi, Mohamed.
出版者:	London :ISTE ; : 2013.,
面頁冊數:	1 online resource (xvi, 157 p.)
標題:	Computer algorithms. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118753620

Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1
Wahbi, Mohamed.

Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1[electronic resource] /Mohamed Wahbi. - London :ISTE ;2013. - 1 online resource (xvi, 157 p.) - FOCUS Series. - FOCUS Series..

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.Subjects--Topical Terms:

528448
Computer algorithms.

LC Class. No.: TA1637

Dewey Class. No.: 621.36

Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1
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245 1 0 $a Algorithms and ordering heuristics for distributed constraint satisfaction problems DUP_1 $h [electronic resource] / $c Mohamed Wahbi.
260 $a London : $a Hoboken : $b ISTE ; $c 2013. $b Wiley,
300 $a 1 online resource (xvi, 157 p.)
490 1 $a FOCUS Series
520 $a 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.
588 $a Description based on print version record.
650 0 $a Computer algorithms. $3 528448
650 0 $a Image processing $x Digital techniques. $3 555959
650 0 $a Neural computers. $3 792941
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856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118753620

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