Its purpose is to consider how ideas and analogies drawn from observations of real societies might be applied to computational systems. Recently biology has been a source of inspiration for AI, e.g. spawning the field of evolutionary computation. Now ideas and analogies drawn from the social sciences are starting to be used in computational systems. This is partly because it is being recognised that controlling interacting societies of artificial agents is difficult - traditional methods can not anticipate the emergent outcomes, so that some researchers are looking to real societies. Another strand is the increasing recognition that much of what we had labelled as individual intelligence derives from the society it inhabits. A third strand can be traced to the influence of social simulation techniques. This symposium will focus on these areas, welcoming especially interdisciplinary work and work grounded in observation of real societies and real problems.
If you are in doubt of the relevence of your paper please contact either of the special issue editors.
Dautenhahn and Steven J. Coles
Narrative Intelligence from the Bottom Up: A Computational Framework for the
Study of Story-Telling in Autonomous Agents
Staller and Paolo Petta
Introducing Emotions into the Computational Study of Social Norms: A First
Conte and Mario Paolucci
Intelligent Social Learning
Six Levels of Complexity
Access it at: http://jasss.soc.surrey.ac.uk/4/1/contents.html
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Adaptive Systems Research Group
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