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100   $a20090210d2009      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 12$aA class of algorithms for distributed constraint optimization$b[electronic resource] /$fAdrian Petcu
210   $aWashington, DC $cIOS Press$d2009
215   $a1 online resource (304 p.)
225 0 $aFrontiers in artificial intelligence and applications/faia ;$vv. 194
300   $aDescription based upon print version of record.
311   $a1-58603-989-X 
327   $aTitle page; Contents; Introduction; I Preliminaries and Background; II The DPOP Algorithm; III Tradeoffs; IV Dynamics; V Self-Interest
330   $aAddresses three major issues that arise in Distributed Constraint Optimization Problems (DCOP): efficient optimization algorithms, dynamic and open environments, and manipulations from self-interested users. This book introduces a series of DCOP algorithms, which are based on dynamic programming.
410  0$aFrontiers in artificial intelligence and applications ;$vv. 194.
410  0$aFrontiers in artificial intelligence and applications.$pDissertations in artificial intelligence.
606   $aConstraint programming (Computer science)
606   $aArtificial intelligence
615  0$aConstraint programming (Computer science)
615  0$aArtificial intelligence.
676   $a005.1/16
676   $a006.3
700   $aPetcu$b Adrian$01506973
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910777938403321
996   $aA class of algorithms for distributed constraint optimization$93737413
997   $aUNINA