The Multi-Agent Programming Contest 2021: one-and-a half decades of exploring / Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg (eds.).
2021
QA76.76.I58 M85 2021eb
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Title
The Multi-Agent Programming Contest 2021: one-and-a half decades of exploring / Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg (eds.).
Meeting Name
Multi-Agent Programming Contest (15th : 2021)
ISBN
9783030885496 (electronic bk.)
3030885496 (electronic bk.)
3030885488
9783030885489
3030885496 (electronic bk.)
3030885488
9783030885489
Publication Details
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource
Item Number
10.1007/978-3-030-88549-6 doi
Call Number
QA76.76.I58 M85 2021eb
Dewey Decimal Classification
006.3
Summary
This 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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 7, 2021).
Added Author
Ahlbrecht, Tobias, editor.
Dix, J. (Jürgen), 1961- editor.
Fiekas, Niklas, editor.
Krausburg, Tabajara, editor.
Dix, J. (Jürgen), 1961- editor.
Fiekas, Niklas, editor.
Krausburg, Tabajara, editor.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12947.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science ; 12947.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Multi-Agent Programming Contest 2021.
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Table of Contents
The 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.
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.