SSM – Social Simulation and Modelling

Social Simulation (SS) is an inter-disciplinary area which brings together researchers active within the multi-agent systems (MAS) community and the agent-based modelling (ABM) community. The focus of MAS is on the solution of complex engineering problems related to the construction, deployment and efficient operation of agent-based systems, while the focus of ABM is on simulating and synthesising social behaviours in order to understand real social systems (human, animal and even digital) via the development and testing of new theories.

As evidenced at other scientific meetings, the MAS and ABM communities have much to learn from each other. For example, the MAS community has developed agent-based systems that employ sophisticated and elaborated mechanisms (i.e., rich internal models) to solve complex problems, but these techniques are also useful for addressing sociological issues of co-operation, trust and power hierarchies from the social science viewpoint. In contrast, the ABM community has studied and developed techniques and models for real world societies such as companies or economy and they are tested and validated using experimental data, but these models are also useful for real world applications from the engineering viewpoint.

Topics of Interest

In EPIA 2013 Social Simulation and Modelling thematic track, we bring together both these scientific communities to foster the derivation of methods that overcome each other’s week points. To promote this cross-influence, the SSM track series focuses on both the ideas coming from computer science as a new technology to provide insights into ABM community and the ideas coming from social sciences as new metaphors to provide insights into MAS community. General topics of interest include, but are not limited to:

General issues:
- Agent and social environment modelling
- Standards for social simulators including inter-operability
- Self-organization, scalability, robustness in SS
- Policy applications
- SS applications
- Methodologies and techniques that link MAS and ABM works
- Simulation
- Decision making

MAS issues:
- Grid-computing for SS
- Visualisation and analytic tools
- Managing interactions in large-scale systems
- Simulation languages and formalisms
- Complexity

ABM issues:
- Formal and agent-based models of social behaviour and social order
- Social structures and norms
- Cognitive modelling and social simulation
- The emergence of co-operation and co-ordinated action
- Agent-based experimental economics
- Empirically-based agent-based modelling

Paper submission

Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Programme Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. The top accepted papers will appear in the proceedings published by Springer in the LNAI series. The remaining accepted papers will be published in the local proceedings.

Organizing Committee

Luis Antunes, Group for Studies in Social Simulation, University of Lisbon
Jaime Sichman, University of São Paulo, Computer Engineering Department
Jorge Louçã, ISCTE-IUL Lisbon University Institute
Maciej Latek, Dept. Computational Social Science, George Mason University

Program Committee

Frederic Amblard, Univ. Toulouse 1, France
Pedro Andrade, INPE, Brazil
Tânya Araújo, ISEG, Portugal
João Balsa, University of Lisbon, Portugal
Pedro Campos, University of Porto, Portugal
Amilcar Cardoso, University of Coimbra, Portugal
Cristiano Castelfranchi, ISTC/CNR, Italy
Shu-Heng Chen, National Chengchi Univ., Taiwan
Helder Coelho, University of Lisbon, Portugal
Nuno David, University Institute of Lisbon (ISCTE-IUL), Portugal
Paul Davidsson, Blekinge Inst. Technology, Sweden
Deffuant Guillaume, Cemagref, France
Julie Dugdale, Lab. d’Informatique Grenoble, France
Nigel Gilbert, University of Surrey, UK
Nick Gotts, Macaulay Institute, UK
Samer Hassan, Univ. Complutense Madrid, Spain
Rainer Hegselmann, Univ. Bayreuth, Germany
Wander Jager, Univ. Groningen, The Netherlands
Pedro Magalhães, ICS, Portugal
Jean-Pierre Muller, CIRAD, France
Akira Namatame, National Defense Academy, Japan
Juan Pavón, Univ. Complutense Madrid, Spain
Juliette Rouchier, Greqam/CNRS, France
Jordi Sabater-Mir, IIIA-CSIC, Spain
David Sallach, Argonne National Lab., University of Chicago, USA
Keith Sawyer, Washington Univ., USA
Oswaldo Teran, Univ. Los Andes, Venezuela
Takao Terano, Univ. Tsukuba, Japan
José Tribolet, IST/UTL, Portugal
Klaus Troitzsch, Univ. Koblenz, Germany
Harko Verhagen, Stockholm Univ., Sweden
Nanda Wijermans, Stockholm Resilience Centre, Sweden

Contacts

Luis Antunes
Group for Studies in Social Simulation, University of Lisbon, Campo Grande, C 6.3.18
1749-016 Lisboa, Portugal
Phone : 351 21 7500526
Fax : 351 21 7500084
e-mail: xarax@di.fc.ul.pt

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