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035   $a(DE-He213)978-3-031-38712-8
035   $a(PPN)272259934
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100   $a20230810d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe Multi-Agent Programming Contest 2022 $eCoordinating Agents in a Dynamic World: Agents Follow the Rules, or Not /$fedited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (203 pages)
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13997
311 08$aPrint version: Ahlbrecht, Tobias The Multi-Agent Programming Contest 2022 Cham : Springer International Publishing AG,c2023 9783031387111 
320   $aIncludes bibliographical references and index.
327   $aThe MAPC 2022 - Background, realization & outcomes -- The Multi-Agent Programming Contest 2022 -- Optimization-based Agents in the 16th Multi-Agent Programming Contest -- The contestants and their agents -- MMD: The Block Building Agent Team with Explainable Intentions -- GOALdigger-AIG-Hagen Multi-Agent System: Team Description -- General deSouches commands multi-agent army for performing in Agents Assemble III scenario: FIT-BUT at MAPC 2022 -- The 16th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- LI(A)RA Team - A Declarative and Distributed Implementation for the MAPC 2022.
330   $aThis book constitutes the 16th edition of the annual Multi-Agent Programming Contest, MAPC 2022. It gives an overview of the competition, describes the current scenario. The first paper describes the contest in general and this edition in particular, focusing on the organizers? observations. The following papers are written by the participants of the contest, describing their team of agents and its performance in more detail.
410  0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13997
606   $aArtificial intelligence
606   $aMultiagent systems
606   $aSoftware engineering
606   $aArtificial Intelligence
606   $aMultiagent Systems
606   $aSoftware Engineering
615  0$aArtificial intelligence.
615  0$aMultiagent systems.
615  0$aSoftware engineering.
615 14$aArtificial Intelligence.
615 24$aMultiagent Systems.
615 24$aSoftware Engineering.
676   $a006.3
676   $a006.30285436
702   $aAhlbrecht$b Tobias
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910741163803321
996   $aThe multi-agent programming contest 2022$93554904
997   $aUNINA