MABS: Multi-Agent Systems and Agent-Based Simulation

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
MABS 2018 19th International Workshop on Multi-Agent-Based Simulation
Jul 14, 2018 - Jul 15, 2018 Stockholm Apr 5, 2018
MABS 2015 Multi-Agent Systems and Agent-Based Simulation
May 4, 2015 - May 5, 2015 Istanbul, Turkey Feb 18, 2015
MABS 2014 15th International Workshop on Multi-Agent-Based Simulation
May 5, 2014 - May 6, 2014 Paris, France Jan 22, 2014 (Jan 20, 2014)
 
 

Present CFP : 2018

The 19th International Workshop on Multi-Agent-Based Simulation | MABS 2018

Stockholm, Sweden | July 14 or 15, 2018
MABS 2018 is part of the Federated AI Meeting (FAIM) that takes place in Stockholm July 9-19, which includes the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), the 35th International Conference on Machine Learning (ICML), the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI).

» Aim and scope
» Target audience
» Important dates
» Instructions for authors
» Publication
» Chairs
» Program committee (preliminary)

AIM AND SCOPE

The meeting of researchers from Multi-Agent Systems (MAS) engineering and the social/economic/organisational sciences is extensively recognised for its role in cross-fertilisation, and it has undoubtedly been an important source of inspiration for the body of knowledge that has been produced in the MAS area. The MABS workshop series continues with its goal to bring together researchers interested in MAS engineering, with researchers focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organisational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems. The range of technical issues that MABS has and continues to deal with is diverse and extensive, and includes:

Simulation methodology, e.g.:
– Standards for MABS
– Methodologies and simulation languages for MABS
– Simulation platforms and tools for MABS
– Visualisation and analytic tools
– Scalability and robustness in MABS

Simulation of social and intelligent behaviour, e.g.:
– Formal and agent models of social behaviour
– Cognitive modelling and simulation
– Game theory and simulation
– Social structure: social networks and simulating organisations
– Simulating social complexity, e.g. structures and norms, social order, emergence of cooperation and coordinated action, self-organisation, self-regulation, and the micro-macro link

Applications, e.g.:
– MABS in environmental modelling
– Agent-based experimental economics
– Participative-based simulation
– MABS and games
– MABS in governance and policy-making

Moreover, in this edition, we will encourage submissions that address the simulation of learning and other intelligent behaviour, as well as how data mining can be used to build MABS models from social big data.

More information about the MABS series is available at https://www2.pcs.usp.br/~mabs/

TARGET AUDIENCE
The workshop will provide a forum for social scientists, MAS and AI researchers and developers, and simulation researchers, (1) to assess the current state of the art in the modelling and simulation of social systems and MAS, (2) to identify where existing approaches can be successfully applied, (3) to learn about new approaches and explore future research challenges, and (4) to exchange ideas and knowledge in an inter-disciplinary environment.

The workshop will be of interest to researchers engaged in modelling and in analysing multi-agent systems, and those interested in applying agent-based simulation techniques to real-world problems. In addition, it will attract researchers committed to cross-cutting research that is complementary to more orthodox modelling approaches.
IMPORTANT DATES

Submission deadline: April 5, 2018
Notification of acceptance/rejection: May 5, 2018
Camera-ready submission deadline: June 10, 2018
Workshop dates: July 14 or 15, 2018
INSTRUCTIONS FOR AUTHORS

Papers are limited to 12 pages formatted according to the Springer LNCS and must be electronically submitted before the submission deadline through the workshop conference system, which is available at

https://easychair.org/conferences/?conf=mabs2018

All contributions will be peer-reviewed by two or three independent PC members. The evaluation criteria of contributions will be based on originality, quality, clarity, and its relevance to the workshop’s aims.
PUBLICATION

All accepted papers will be included in the AAMAS 2018 workshop proceedings, provided that at least one author attends the workshop. In addition, we intend to publish the accepted papers, after a further reviewing process, in the Multi-Agent-Based Simulation book series, Lecture Notes in Artificial Intelligence, Springer.
CHAIRS
Paul Davidsson (Malmö University, Sweden)
Harko Verhagen (Stockholm University, Sweden)

PROGRAM COMMITTEE (preliminary)
Diana Adamatti (FURG, Brazil)
Frederic Amblard (Université Toulouse 1, France)
Luis Antunes (University of Lisbon, Portugal)
Robert Axtell (George Mason University, USA)
Joao Balsa (Universidade de Lisboa, Portugal)
Tibor Bosse (Vrije Universiteit in Amsterdam, the Netherlands)
Sven Brueckner (Vector Research Center, USA)
Cristiano Castelfranchi (ISTC-CNR, Italy)
Shu-Heng Chen (National Chengchi University, Taiwan)
Sung-Bae Cho (Yonsei University, Korea)
Claudio Cioffi-Revilla (George Mason University, USA)
Helder Coelho (University of Lisbon, Portugal)
Paul Cohen (USC Information Sciences Institute, USA)
Paul Davidsson (Malmö University, Sweden)
Frank Dignum (Utrecht, the Nethelands)
Virginia Dignum (TU Delft, the Netherlands)
Graçaliz P. Dimuro (FURG, Brazil)
Alexis Drogoul (IRD, Vietnam)
Bruce Edmonds (Centre for Policy Modelling, UK)
Nigel Gilbert (University of Surrey, UK)
William Griffin (Arizona State University, USA)
Nick Gotts (James Hutton Institute, Scotland, UK)
Laszlo Gulyas (AITIA International Informatics Inc.)
David Hales (Open University, UK)
Rainer Hegselmann (University of Bayreuth, Germany)
Wander Jager (University of Groningen, Netherlands)
Marco Janssen (Arizona State University, USA)
William Kennedy (George Mason University, USA)
Satoshi Kurihara (Osaka University, Japan)
Gustavo Lugo (UFTPR, Brazil)
Ed MacKerrow (Los Alamos National Lab, USA)
Juan Pavon Mestras (Universidad Complutense Madrid, Spain)
Ruth Meyer (Manchester Metropolitan University, UK)
John Murphy (Argonne National Laboratory, USA)
Jean-Pierre Muller (CIRAD, France)
Luis Gustavo Nardin (University of Idaho, USA)
Paulo Novais (Universidade do Minho, Portugal)
Emma Norling (University of Sheffield, UK)
Mario Paolucci (ISTC-CNR, Italy)
Adolfo Lopez Paredes (INSISOC, Spain)
Ulf Lotzmann (University of Koblenz-Landau, Germany)
Gary Polhill (James Hutton Institute, UK)
William Rand (University of Maryland, USA)
Juliette Rouchier (Greqam/CNRS), France)
Rick Riolo (University of Michigan, USA)
Michael North (Argonne National Lab, USA)
Jeffrey Schank (University of California Davis, USA)
Jaime Sichman (University of Sao Paulo, Brazil)
Keiki Takadama (Tokyo Institute of Technology)
Takao Terano (University of Tsukuba, Japan)
Gennaro Di Tosto (ISTC-CNR, Italy)
Klaus Troitzsch (University of Koblenz, Germany)
Stephen Turner (Nanyang Technological University, Singapore)
Harko Verhagen (Stockholm University, Sweden)
Manuela M. Veloso (Carnegie Mellon University, USA)
Uri Wilensky (Northwestern University, USA)
Gerard Weisbuch (Ecole Normale Superieure, France).
Wei Zhang (Tianjin University, China)
 

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