SSM – Social Simulation and Modelling

Social Simulation is a recent multi-disciplinary effort that has increasingly established new challenges for the Artificial Intelligence and Multiagent Systems community, by bringing the agent technology to face complex phenomena such as the ones found in social sciences. At the same time, social scientists have been discovering how the computer and especially the advances in artificial intelligence and multi-agent systems can provide a new and exciting tool to tackle the problems of their field, providing a paradigm shift in social sciences. The exchange between researchers in both areas has proven mutually fruitful, as much inspiration in Multiagent Systems has come from Social Sciences, and these have benefited from more rigourous and operational concepts as well as from principled methodologies with which to face experiments with heterogeneous artificial agents. Social Simulation (SS) brings together the multi-agent systems (MAS) and agent-based modelling (ABM) communities. The focus of MAS is on the solution of complex 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. Both these communities are now well-established and have many common issues, but there are few opportunities for crossover of ideas between the two communities. This track aims at presenting the most recent advances in multi-agent-based exploratory social simulation from a strong computer science and Artificial Intelligence stance. To promote a multi-disciplinary and cross-influential approach, this track will focus both on ideas coming from Artificial Intelligence 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.

Topics of Interest

• General issues:

(a) Agent and social environment modelling
(b) Standards for social simulators including inter-operability
(c) Self-organisation, scalability, robustness in SS
(d) Policy applications
(e) SS applications
(f) Methodologies and techniques that link MAS and ABM
(g) Simulation
(h) Decision making

• MAS issues:

(i) Grid-computing for SS
(j) Visualisation and analytic tools
(k) Managing interactions in large-scale systems
(l) Simulation languages and formalisms
(m) Complexity

• ABM issues:

(n) Formal and agent-based models of social behaviour and social order
(o) Social structures and norms works
(p) Cognitive modelling and social simulation
(q) The emergence of co-operation and co-ordinated action
(r) Agent-based experimental economics
(s) Empirically-based agent-based modelling

Organizing Committee

Luis Antunes (FCUL)
Jorge Louça (ISCTE-IUL)
Jaime Sichman (University of São Paulo)
Maciel Latek (George Mason University)

Program Committee

• Adolfo Lopes Paredes (Univ. Valladolid, Spain)
• Akira Namatame (National Defense Academy, Japan)
• Alexis Drogoul (IRD, France)
• Amilcar Cardoso (DEIUC, Portugal)
• Ana Bazzan (UFRGS, Brazil)
• Bruce Edmonds (Centre for Policy Modelling, UK)
• Carles Sierra (IIIA, Spain)
• Carlos Ramos (ISEP, Portugal)
• Claudio Cioffi-Revilla (George Mason Univ., USA)
• Cristiano Castelfranchi (ISTC/CNR, Italia)
• David Hales (The Open Univ., UK)
• David Sallach (Argonne National Lab, Univ. Chicago, USA)
• Elizabeth Sklar (City Univ. New York, USA)
• Fernando Neto (Univ. Pernambuco, Brazil)
• François Bousquet (CIRAD/IRRI, Thailand)
• Frederic Amblard (Univ. Toulouse 1, France)
• Guillaume Deffuant (Cemagref, France)
• Harko Verhagen (Stockholm Univ., Sweden)
• Helder Coelho (Univ. Lisbon, Portugal)
• Jan Treur (Vrije Univ. Amsterdam, The Netherlands)
• Jean-Pierre Muller (CIRAD, France)
• Joao Balsa (Univ. Lisbon, Portugal)
• Jorge Simao (Porto, Portugal) a
• José Tribolet (IST/UTL, Portugal)
• Juan Pavón (Univ. Complutense Madrid Spain)
• Julie Dugdale (Lab. d’Informatique Grenoble, France)
• Juliette Rouchier (Greqam/CNRS), France)
• Keiki Takadama (Univ. Electro-communications, Japan)
• Keith Sawyer (Washington Univ. St. Louis, USA)
• Klaus Troitzsch (Univ. Koblenz, Germany)
• Nick Gotts (Macaulay Inst., Scotland, UK)
• Nigel Gilbert (Univ. Surrey, UK)
• Nuno David (ISCTE, Portugal)
• Oswaldo Teran (Univ. Los Andes, Venezuela)
• Paul Davidsson (Blekinge Inst. Technology, Sweden)
• Pedro Andrade (INPE, Brazil)
• Pedro Campos (FEUP, Portugal)
• Pedro Magalhaes (ICS, Portugal)
• Rainer Hegselmann (Univ. Bayreuth, Germany)
• Robert Axtell (George Mason Univ. USA)
• Rosaria Conte (ISTC/CNR Rome, Italy)
• Samer Hassan (Univ. Complutense Madrid, Spain)
• Scott Moss (Centre for Policy Modelling, UK)
• Shu-Heng Chen (National Chengchi Univ., Taiwan)
• Takao Terano (Univ. Tsukuba, Japan)
• Tanya Araújo (ISEG, Portugal)
• Wander Jager (Univ. Groningen, Netherlands)

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