LEADER 03098nam 22005775 450 001 996546854303316 005 20230810054721.0 010 $a3-031-38712-0 024 7 $a10.1007/978-3-031-38712-8 035 $a(MiAaPQ)EBC30684253 035 $a(Au-PeEL)EBL30684253 035 $a(DE-He213)978-3-031-38712-8 035 $a(PPN)272259934 035 $a(EXLCZ)9927962934600041 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$b[electronic resource] $eCoordinating Agents in a Dynamic World: Agents Follow the Rules, or Not /$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 $a006.3 702 $aAhlbrecht$b Tobias 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546854303316 996 $aThe multi-agent programming contest 2022$93554904 997 $aUNISA