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Social Simulation is a 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. The exchange between researchers in these areas has proven mutually fruitful, as much inspiration in Multiagent Systems has come from Social Sciences, and these have benefited from more rigorous 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. In addition, since social life could not be conceived without social interactions, other areas such as social network analysis have contributed to characterize and model the structures of networks, so as to understand the flow of relevant factors between network nodes (i.e., the agents).
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 include:
- general issues:
- Agent and social environment modelling
- Standards for social simulators including inter-operability
- Self-organisation, scalability, robustness in SS
- Policy applications
- SS applications
- Social Network Analysis
- Simulation
- Economical applications
- 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
Submission Information
All papers should be submitted in PDF format through the EPIA 2017 submission Website (https://easychair.org/conferences/?conf=epia2017), by selecting the Social Simulation and Modelling track.
Submissions must be original and can be of two types: full papers should not exceed twelve (12) pages in length, whereas short papers should not exceed six (6) pages.
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.
Accepted papers will appear in the EPIA 2017 proceedings, to be published by Springer in the LNAI series.
All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.
A poster session will also be accommodated in the conference program, open to every accepted paper (limited to available space) for idea presentation and discussion.
Organising Committee
Luis Antunes, FCUL, Lisbon, Portugal
Pedro Campos, LIAAD-INESC TEC, FEP, Porto, Portugal
Luiz Izquierdo, University of Burgos, Spain
Contact: [email protected]
Programme Committee (tentative):
- Frederic Amblard (Univ. Toulouse 1, France)
- Pedro Andrade (INPE, Brazil)
- Tânya Araújo (ISEG, Portugal)
- Robert Axtell (George Mason Univ. USA)
- João Balsa (Univ. Lisbon, Portugal)
- Ana Bazzan (UFRGS, Brazil)
- François Bousquet (CIRAD/IRRI, Thailand)
- Amilcar Cardoso (DEIUC, Portugal)
- Cristiano Castelfranchi (ISTC/CNR, Italia)
- Shu-Heng Chen (National Chengchi Univ., Taiwan)
- Claudio Cioffi-Revilla (George Mason Univ., USA)
- Helder Coelho (Univ. Lisbon, Portugal)
- Nuno David (ISCTE, Portugal)
- Paul Davidsson (Blekinge Inst. Technology, Sweden)
- Guillaume Deffuant (Cemagref, France)
- Alexis Drogoul (IRD, France)
- Julie Dugdale (Lab. d’Informatique Grenoble, France)
- Bruce Edmonds (Centre for Policy Modelling, UK)
- Nigel Gilbert (Univ. Surrey, UK)
- Nick Gotts (Macaulay Inst., Scotland, UK)
- David Hales (The Open Univ., UK)
- Samer Hassan (Univ. Complutense Madrid, Spain)
- Rainer Hegselmann (Univ. Bayreuth, Germany)
- Wander Jager (Univ. Groningen, Netherlands)
- Adolfo Lópes Paredes (Univ. Valladolid, Spain)
- Pedro Magalhães (ICS, Portugal)
- Scott Moss (Centre for Policy Modelling, UK)
- Jean-Pierre Muller (CIRAD, France)
- Akira Namatame (National Defense Academy, Japan)
- Fernando Neto (Univ. Pernambuco, Brazil)
- Carlos Ramos (GECAD – ISEP, Portugal)
- Juliette Rouchier (Greqam/CNRS), France)
- David Sallach (Argonne National Lab, Univ. Chicago, USA)
- Keith Sawyer (Washington Univ. St. Louis, USA)
- Carles Sierra (IIIA, Spain)
- Jorge Simão (Porto, Portugal)
- Elizabeth Sklar (City Univ. New York, USA)
- Keiki Takadama (Univ. Electro-communications, Japan)
- Oswaldo Teran (Univ. Los Andes, Venezuela)
- Takao Terano (Univ. Tsukuba, Japan)
- Jan Treur (Vrije Univ. Amsterdam, The Netherlands)
- José Tribolet (IST/UTL, Portugal)
- Klaus Troitzsch (Univ. Koblenz, Germany)
- Harko Verhagen (Stockholm Univ., Sweden)