The Multi-Agent Programming Contest 2022 : coordinating agents in a dynamic world : agents follow the rules, or not / Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg, editors.
Multi-Agent Programming Contest (16th : 2022); Ahlbrecht, Tobias, editor.; Dix, Jürgen, editor.; Fiekas, Niklas, editor.; Krausburg, Tabajara, editor.
2023
QA76.76.I58
Available Online

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Title The Multi-Agent Programming Contest 2022 : coordinating agents in a dynamic world : agents follow the rules, or not / Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg, editors.
Meeting Name Multi-Agent Programming Contest (16th : 2022)
ISBN 9783031387128 (electronic bk.)
3031387120 (electronic bk.)
3031387112
9783031387111
DOI https://doi.org/10.1007/978-3-031-38712-8
Publication Details Cham, Switzerland : Springer, 2023.
Language English
Description 1 online resource
Item Number 10.1007/978-3-031-38712-8 doi
Call Number QA76.76.I58
Dewey Decimal Classification 006.3
Summary This 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.
Note Includes author index.
Access Note Access limited to authorized users.
Added Author Ahlbrecht, Tobias, editor.
Dix, Jürgen, editor.
Fiekas, Niklas, editor.
Krausburg, Tabajara, editor.
Series Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13997.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form Print version: 9783031387111
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
The 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.

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