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200 14$aThe Multi-Agent Programming Contest 2021 $eOne-and-a-Half Decades of Exploring Multi-Agent Systems /$fedited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (164 pages)
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12947
311 08$a3-030-88548-8 
320   $aIncludes bibliographical references and index.
327   $aThe 15th Multi-Agent Programming Contest: Assemble with care -- FIT BUT: Rational Agents in the Multi-Agent Programming Contest -- The 15th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team -- MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest -- The LTI-USP strategy to the 2020/2021 Multi-Agent Programming Contest -- JaCaMo Builders: Team Description for the Multi-Agent Programming Contest 2020/21.
330   $aThis book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest. .
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606   $aArtificial intelligence
606   $aArtificial Intelligence
615  0$aArtificial intelligence.
615 14$aArtificial Intelligence.
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