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MABS 2023 - The 24th International Workshop on Multi-Agent-Based Simulation


ABOUT MABS

MABS 2023 is part of the AAMAS 2023 conference taking place in London, UK on
May 29-30, 2023.

The meeting of researchers from Multi-Agent Systems (MAS) engineering,
simulation, and the social, economic, and organizational sciences is extensively
recognised for its role in cross-fertilization. The synergy among researchers
from these fields has undoubtedly been an important source of inspiration for
the body of knowledge that has been produced in the area.

The MABS workshop series continues with its goal to bring together researchers
interested in MAS engineering and simulation, with researchers focused on
understanding and finding efficient solutions to model complex social and
socio-technical systems, in areas such as economics, management, organizational
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, conducting
exploration and testing of hypotheses, investigating better designs and systems.

TOPICS OF INTEREST

We welcome paper submissions from all areas of multi-agent-based simulation and
particularly also of work in early stages, which can benefit from active
discussions!

The range of technical issues that MABS has dealt with, and continues to deal
with, is quite diverse and extensive. Topics relevant to this workshop include,
but are not limited to:

* Simulation methodologies and tools
    - Standards for MABS
    - Methodologies and modeling formalism for MABS
    - Methodologies to combine MABS with other modeling approaches
    - Simulation languages, platforms and tools for MABS
    - Large-scale and distributed MABS
    - Scalability and robustness in MABS
    - Future challenges in MABS
* Simulation of Social and Intelligent behavior
    - Formal and agent models of social behavior
    - Cognitive modeling and simulation
    - Game theory and simulation
    - Social structure, social networks and simulating organizations
    - Simulating social complexity (e.g. structures and norms,
            social order, emergence of cooperation and coordinated action,
            self-organization, the micro-macro link)
* Applications and Empirical Work
    - MABS for socio-ecological systems
    - MABS for socio-technical systems
    - Agent-based experimental economics
    - Participatory and Human-in-the-Loop simulation
    - MABS and games
    - MABS and cloud computing
    - MABS in governance and policy-making
* Simulation Analytics
    - Visualization and analytic tools for MABS
    - Experimental design for MABS
    - Statistical and data analysis methods for MABS
    - Data mining and machine learning methods for MABS

MABS is a powerful tool that is being used to inform policy or decisions in
many fields of practical importance. The use of models in general, and MABS
in particular, during the COVID-19 pandemic has evidenced some of their
pitfalls to inform intervention policies. Thus, we propose for 2023 to
prioritize submissions of papers that explore how to tackle the pitfalls in
using MABS to inform policy making.

TARGET AUDIENCE

The workshop will provide a forum for social scientists, policy-makers, and
AI, MAS and simulation researchers and developers, to assess the current
state of the art in the agent-based modeling and simulation of social and
socio-technical systems, to identify where and discuss how existing
approaches can be successfully applied, to learn about new approaches and
explore future research challenges, and to exchange ideas and knowledge in
an interdisciplinary environment.

The workshop will be of interest to researchers engaged in modeling and
analyzing 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 modeling approaches.

MABS intends to be a place where researchers can exchange ideas about their
work and we are looking forward to the community meeting once again in
person.

SUBMISSION GUIDELINES

Submissions are limited to 12 pages formatted according to the Springer LNCS
style and must be electronically submitted before the submission deadline
through the workshop conference system, which is available at
https://easychair.org/conferences/?conf=mabs2023.

All contributions will be peer-reviewed by at least two independent PC
members. The evaluation criteria of contributions will be based on
originality, quality, clarity, and its relevance to the workshop.

COMMITTEES

PROGRAM CHAIRS
- Luis Gustavo Nardin (Mines Saint-Étienne, France)
- Sara Mehryar (London School of Economics, UK)

PROGRAM COMMITTEE
- Diana Adamatti, Federal University of Rio Grande, Brazil
- Shah Jamal Alam, Habib University, Pakistan
- Frederic Amblard, Toulouse 1 Capitole University, France
- Luis Antunes, University of Lisbon, Portugal
- Robert Axtell, George Mason University, USA
- Cristiano Castelfranchi, Institute of Cognitive Sciences and Technologies, Italy
- Emile Chappin, Delft University of Technology, The Netherlands
- Sung-Bae Cho, Yonsei University, South Korea
- Paul Davidsson, Malmö University, Sweden
- Frank Dignum, Umeå University, Sweden
- Bruce Edmonds, Manchester Metropolitan University, UK
- Benoit Gaudou, University of Toulouse, France
- Nigel Gilbert, University of Surrey, UK
- Nick Gotts, Independent Researcher, UK
- Rainer Hegselmann, Bayreuth University, Germany
- Marco Janssen, Arizona State University, USA
- Fabian Lorig, Malmö University, Sweden
- Gustavo Giménez Lugo, Federal University of Technology – Parana, Brazil
- Ruth Meyer, Centre for Policy Modelling, UK
- Emma Norling, University of Sheffield, UK
- Paulo Novais, Universidade do Minho, Portugal
- Mario Paolucci, Institute of Cognitive Sciences and Technologies, Italy
- Gary Polhill, The James Hutton Institute, UK
- Jeffrey Schank, University of California – Davis, USA
- Elizabeth Sklar, University of Lincoln, UK
- Samarth Swarup, University of Virginia, USA
- Keiki Takadama, The University of Electro-Communications, Japan
- Takao Terano, Tokyo Institute of Technology, Japan
- Klaus Troitzsch, University of Koblenz-Landau, Germany
- Nicolas Verstaevel, Toulouse 1 Capitole University, France
- Liu Yang, Southeast University, China
- Neil Yorke-Smith, Delft University of Technology, The Netherlands

MABS STEERING COMMITTEE
- Frédéric Amblard (University of Toulouse, France)
- Luis Antunes (University of Lisbon, Portugal)
- Paul Davidsson (Malmö University, Sweden)
- Emma Norling (University of Sheffield, UK)
- Mario Paolucci (National Research Council, Italy)
- Jaime Simão Sichman (University of São Paulo, Brazil)
- Samarth Swarup (University of Virginia, USA)
- Takao Terano (Tokyo Institute of Technology, Japan)
- Harko Verhagen (Stockholm University, Sweden)

Discussion

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