A Collective Action Simulation Platform
In this paper, we discuss some types of expectation that contribute to the behaviour of social agents, and investigate the role that these social expectations can play in the resolution of collective action problems. We describe our Collective Action Simu
- PDF / 15,859,480 Bytes
- 136 Pages / 439.37 x 666.142 pts Page_size
- 87 Downloads / 243 Views
Mario Paolucci Jaime Simão Sichman Harko Verhagen (Eds.)
Multi-Agent-Based Simulation XX 20th International Workshop, MABS 2019 Montreal, QC, Canada, May 13, 2019 Revised Selected Papers
123
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
12025
More information about this series at http://www.springer.com/series/1244
Mario Paolucci Jaime Simão Sichman Harko Verhagen (Eds.) •
•
Multi-Agent-Based Simulation XX 20th International Workshop, MABS 2019 Montreal, QC, Canada, May 13, 2019 Revised Selected Papers
123
Editors Mario Paolucci ISTC/CNR Rome, Italy
Jaime Simão Sichman Laboratório de Técnicas Inteligentes Universidade de São Paulo São Paulo, Brazil
Harko Verhagen Institutionen för data- och systemvetenskap Stockholm University Kista, Sweden
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-60842-2 ISBN 978-3-030-60843-9 (eBook) https://doi.org/10.1007/978-3-030-60843-9 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
This volume presents selected papers from the 20th International Workshop on Multi-Agent-Based Simulation (MABS 2019), a workshop hosted by the 18th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2019), which took place in Montreal, Canada, during May 13–17, 2019. The main scientific focus of M
Data Loading...
