27th EUROPEAN Conference on Modelling and Simulation

 

ECMS 2013


May 27th - 30th, 2013
┼lesund,
Norway
 

     

Simulation of Social Interaction (SOCINT)


 


Agent-based simulation allows for the explicit representation of social interaction within simulation. Here the behaviour of agents in the simulation represents the behaviour of actors, with the interaction between actors represented as messages between the agents. The outcomes of such simulations are not always obvious from their set-up allowing for the phenomena of emergence. This kind of simulation has its own distinctive opportunities and problems, which has meant that it has tended to be reported in different venues from the main simulation community, being closer to social rather than computer science. It does allow for social science issues to be represented explicitly and explored, which enables for their consequences to be better understood and also for the outcomes to be compared to observed outcomes.  This track is a chance to bring the social simulation and wider simulation communities together and should be of particular interest to those from the social science end of the spectrum, including (but not limited to) social scientists themselves. 

 Topics of interest include but are not limited to:

  • Reputation and endorsement processes

  • Group formation, maintenance, dissolution

  • Social emergence and unpredictability

  • Influence and interaction over social networks

  • Descriptive simulations of observed social processes and systems (e.g. science itself)

  • How trust develops and is maintained plus its effects

  • Cooperation, coordination and social norms (but not purely game theoretic approaches)

  • People interacting via the internet via Facebook, Flickr, Twitter etc.

  • Discussive, consensus and agreement processes

  • Social and culture dynamics

  • The simulation of historical patterns and past societies

  • complex organisation behaviour and inter-organisational networks

Please note that if your simulation is to model the results of policy, it probably should go to the Policy Modelling track, and that if it concentrates on the more computer science aspects of simulating or is not modelling interaction between social actors then it probably belongs to the Agent-Based Modelling track.

 

Track-chair: Bruce Edmonds
Centre for Policy Modelling
Manchester Metropolitan University Business School
All Saints Campus, Oxford Road, Manchester M15 6BH
U
nited Kingdom

email:
bruce[at]edmonds.name

Co-chair: Flaminio Squazzoni

University of Brescia
Department of Social Sciences
Via San Faustino 74/B
25122 Brescia, Italy

email: squazzon[at]eco.unibs.it

IPC members:

Petra Ahrweiler, University College Dublin, Ireland
Frederic Amblard, UniversitÚ Toulouse 1, France
Giangiacomo Bravo, University of Turin, Italy
Edmund Chattoe-Brown, University of Leicester, U
nited Kingdom
Guillaume Deffuant, IRSTEA, France
David Hales, Open University, U
nited Kingdom

Luis Izquierdo, Universidad de Burgos, Spain
Wander Jager, University of Groningen, The Netherlands

Marco Janssen, Arizona State University, USA
Mario Paolucci, ISTC/CNR, Italy
Juliette Rouchier, GREQAM/CNRS, France
Karoly Takacs, Corvinus University of Budapest, Hungary
Harko Verhagen, Stockholm University, Sweden



 


 


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