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The Multi-Agent Programming Contest ...
~
Ahlbrecht, Tobias.
The Multi-Agent Programming Contest 2018 = Agents Teaming Up in an Urban Environment /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The Multi-Agent Programming Contest 2018/ edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas.
其他題名:
Agents Teaming Up in an Urban Environment /
其他作者:
Ahlbrecht, Tobias.
面頁冊數:
VII, 145 p. 31 illus., 21 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-37959-9
ISBN:
9783030379599
The Multi-Agent Programming Contest 2018 = Agents Teaming Up in an Urban Environment /
The Multi-Agent Programming Contest 2018
Agents Teaming Up in an Urban Environment /[electronic resource] :edited by Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas. - 1st ed. 2019. - VII, 145 p. 31 illus., 21 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11957. - Lecture Notes in Artificial Intelligence ;9285.
The Contest -- The Multi-Agent Programming Contest 2018 - A third time in the city -- The Teams -- task-oriented architecture with priority queue for BDI agents applied to the Multi Agent Programming Contest scenario -- Multi-Agent Programming Contest 2018 - The Jason-DTU Team -- SMART-JaCaMo: an Organisation-Based Team for the Multi-Agent Programming Contest -- Distributed Decision-Making based on Shared Knowledge in the Multi-Agent Programming Contest -- ROS Hybrid Behaviour Planner: Behaviour Hierarchies and Self-Organisation in the Multi-Agent Programming Contest.
This book constitutes the 13th edition of the annual Multi-Agent Programming Contest, MAPC 2018, and presents its participants. The 2018 scenario and all its changes from previous competitions are described in the first contribution, together with a brief description and analysis of the five participating teams and a closer look at the matches. It is followed by a contribution from each team, introducing their methods and tools used to create their agent team and analyzing their performance and the contest.
ISBN: 9783030379599
Standard No.: 10.1007/978-3-030-37959-9doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
The Multi-Agent Programming Contest 2018 = Agents Teaming Up in an Urban Environment /
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