Tobias Ahlbrecht (editor) - The Multi-Agent Programming Contest 2021: One-and-a-Half Decades of Exploring Multi-Agent Systems: 12947 (Lecture Notes in Computer Science, 12947)

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Book cover of The Multi-Agent Programming Contest 2021

Volume 12947

Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

Series Editors

Randy Goebel

University of Alberta, Edmonton, Canada

Yuzuru Tanaka

Hokkaido University, Sapporo, Japan

Wolfgang Wahlster

DFKI and Saarland University, Saarbrcken, Germany

Founding Editor

Jrg Siekmann

DFKI and Saarland University, Saarbrcken, Germany

More information about this subseries at http://www.springer.com/series/1244

Editors

Tobias Ahlbrecht , Jrgen Dix , Niklas Fiekas and Tabajara Krausburg

The Multi-Agent Programming Contest 2021

One-and-a-Half Decades of Exploring Multi-Agent Systems

1st ed. 2021

Logo of the publisher

Editors

Tobias Ahlbrecht

TU Clausthal, Clausthal-Zellerfeld, Germany

Jrgen Dix

TU Clausthal, Clausthal-Zellerfeld, Germany

Niklas Fiekas

TU Clausthal, Clausthal-Zellerfeld, Germany

Tabajara Krausburg

TU Clausthal, Clausthal-Zellerfeld, Germany

PUCRS, Porto Alegre, Brazil

ISSN 0302-9743 e-ISSN 1611-3349

Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence

ISBN 978-3-030-88548-9 e-ISBN 978-3-030-88549-6

https://doi.org/10.1007/978-3-030-88549-6

Springer Nature Switzerland AG 2021

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 fifteenth edition of the annual Multi-Agent Programming Contest.

The first paper gives an overview of the competition, describes the current scenario, summarises this years participants and their approaches, and analyses some of the matches played and the contest as a whole.

For the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest.

The review process was single blind and on average three reviews were conducted per contribution. Each team was able to pass the review process without problems.

Tobias Ahlbrecht

Jrgen Dix

Niklas Fiekas

Tabajara Krausburg

July 2021

Organization

Program Chairs

Tobias Ahlbrecht

TU Clausthal, Germany

Rem Collier

University College Dublin, Ireland

Jrgen Dix

TU Clausthal, Germany

Niklas Fiekas

TU Clausthal, Germany

Tabajara Krausburg

TU Clausthal, Germany

Program Committee

Lars Braubach

City University of Applied Sciences, Bremen, Germany

Rem Collier

University College Dublin, Ireland

Debora Engelmann

Pontifcia Universidade Catlica do Rio Grande do Sul, Brazil

Babak Esfandiari

Carleton University, Canada

Brian Logan

University of Nottingham, UK

Alison Panisson

Federal University of Santa Catarina, Brazil

Alessandro Ricci

University of Bologna, Cesena, Italy

Sebastian Sardina

RMIT University, Australia

Evangelos Sarmas

Independent, Greece

Federico Schlesinger

Zalando SE, Germany

Neil Yorke-Smith

TU Delft, The Netherlands

Contents

Overview

Tobias Ahlbrecht , Jrgen Dix , Niklas Fiekas and Tabajara Krausburg

Participants

Vaclav Uhlir , Frantisek Zboril and Frantisek Vidensky

Alexander Birch Jensen , Jrgen Villadsen , Jonas Weile and Erik Kristian Gylling

Rafael C. Cardoso , Angelo Ferrando , Fabio Papacchini , Matt Luckcuck , Sven Linker and Terry R. Payne

Marcio Fernando Stabile Jr. and Jaime S. Sichman

Cleber J. Amaral , Vitor Luis Babireski Furio , Robson Zagre Junior , Timotheus Kampik , Maiquel de Brito , Maicon R. Zatelli , Tiago L. Schmitz , Jomi F. Hbner and Mauri Ferrandin

Overview

Springer Nature Switzerland AG 2021

T. Ahlbrecht et al. (eds.) The Multi-Agent Programming Contest 2021 Lecture Notes in Artificial Intelligence 12947 https://doi.org/10.1007/978-3-030-88549-6_1

The 15th Multi-Agent Programming Contest

Assemble with Care

Tobias Ahlbrecht

(1)

Department of Informatics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany

(2)

School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil

Tobias Ahlbrecht (Corresponding author)

Email:

Jrgen Dix

Email:

Niklas Fiekas

Email:

Tabajara Krausburg

Email:

Abstract

The Multi-Agent Programming Contest, MAPC, is an (almost) annual competition with international participants. The contestants develop a multi-agent system that has to compete against each other team in a series of games, requiring cooperation, collaboration, planning capabilities and much more. The contest goals are twofold: We try to find scenarios, where it pays off to use the tools of agent-oriented software engineering, and we try to encourage people to learn about or even refine those tools. We present the contests 15th edition, its participants and results.

Keywords

multi-agent systems agent-based simulation decentralized computing cooperation artificial intelligence simulation platforms

Introduction

Multi-agent systems is a field in Artificial Intelligence that focuses on the cooperation, coordination and social abilities of software entities (hereby called agents). Much work has been done in the last three decades to formally define concepts and their relationships to express the behavior of agents; in particular autonomous agents. As an example, one of the best known models is the approach based on

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