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010   $a3-540-44933-7
024 7 $a10.1007/3-540-44933-7
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035   $a(PQKBTitleCode)TC0000325343
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035   $a(PQKB)10994675
035   $a(DE-He213)978-3-540-44933-1
035   $a(MiAaPQ)EBC3072755
035   $a(PPN)155186302
035   $a(EXLCZ)991000000000016849
100   $a20121227d2001      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aObjective Coordination in Multi-Agent System Engineering $eDesign and Implementation /$fby Michael Schumacher
205   $a1st ed. 2001.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001.
215   $a1 online resource (XIV, 154 p.)
225 1 $aLecture Notes in Artificial Intelligence ;$v2039
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-41982-9 
320   $aIncludes bibliographical references.
327   $aPositioning -- Multi-Agent Systems -- Coordination Models and Languages -- ECM and Its Instances -- The ECM Coordination Model -- The STL Coordination Language -- The STL++ Coordination Language -- The Agent & Co Coordination Language -- Case Studies in STL++ -- Collective Robotics Simulation -- Trading System Simulation -- Conclusion.
330   $aBased on a suitably defined coordination model distinguishing between objective (inter-agent) coordination and subjective (intra-agent) coordination, this book addresses the engineering of multi-agent systems and thus contributes to closing the gap between research and applications in agent technology. After reviewing the state of the art, the author introduces the general coordination model ECM and the corresponding object-oriented coordination language STL++. The practicability of ECM/STL++ is illustrated by the simulation of a particular collective robotics application and the automation of an e-commerce trading system. Situated at the intersection of behavior-based artificial intelligence and concurrent and distributed systems, this monograph is of relevance to the agent R&D community approaching agent technology from the distributed artificial intelligence point of view as well as for the distributed systems community.
410  0$aLecture Notes in Artificial Intelligence ;$v2039
606   $aComputer programming
606   $aSoftware engineering
606   $aComputer architecture
606   $aArtificial intelligence
606   $aComputer networks
606   $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010
606   $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002
606   $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
606   $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029
615  0$aComputer programming.
615  0$aSoftware engineering.
615  0$aComputer architecture.
615  0$aArtificial intelligence.
615  0$aComputer networks.
615 14$aProgramming Techniques.
615 24$aSoftware Engineering/Programming and Operating Systems.
615 24$aComputer System Implementation.
615 24$aArtificial Intelligence.
615 24$aComputer Communication Networks.
615 24$aSoftware Engineering.
676   $a005.11
700   $aSchumacher$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$0545488
906   $aBOOK
912   $a9910145795503321
996   $aObjective Coordination in Multi-Agent System Engineering$91935917
997   $aUNINA