GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest
We provide a brief description of the GOAL-DTU system for the Multi-Agent Programming Contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluat
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Tobias Ahlbrecht Jürgen Dix Niklas Fiekas Tabajara Krausburg (Eds.)
The Multi-Agent Programming Contest 2019 Agents Assemble – Block by Block to Victory
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Tobias Ahlbrecht Jürgen Dix Niklas Fiekas Tabajara Krausburg (Eds.) •
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The Multi-Agent Programming Contest 2019 Agents Assemble – Block by Block to Victory
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Editors Tobias Ahlbrecht TU Clausthal Clausthal-Zellerfeld, Germany
Jürgen Dix TU Clausthal Clausthal-Zellerfeld, Germany
Niklas Fiekas TU Clausthal Clausthal-Zellerfeld, Germany
Tabajara Krausburg TU Clausthal Clausthal-Zellerfeld, Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-59298-1 ISBN 978-3-030-59299-8 (eBook) https://doi.org/10.1007/978-3-030-59299-8 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
In this volume, we present the 14th edition of the annual Multi-Agent Programming Contest (MAPC) and its participants. The brand-new 2019 scenario is described in the first contribution, together with a brief overview of the four participating teams and their solutions. Additionally, we take a closer look at how the contest scenario has evolved over the years. After this introduction, each
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