Social Intelligence for Computers

Making Artificial Entities Creative in their Interactions
  • Juliette Rouchier
Part of the Multiagent Systems, Artificial Societies, and Simulated Organizations book series (MASA, volume 3)


I review two main principles that have been developed to coordinate artificial agents in Multi-Agent systems. The first is based on the elaboration of complex communications among highly cognitive agents. The other is eco-resolution, where very simple agents have no consciousness of the existence of others. Both approaches fail to produce a social life that is close to that of humans, in terms of creativity or exchange of abstractions. Humans can build new ways of communicating, even with unknown entities, because they suppose that the other is able to give a meaning to messages, and are able to transfer a protocol from one social field to another. Since we want social intelligence to be creative, it seems that a first step would be to have agents be willing to communicate and know more than one reason and way to do so.


Social Life Intelligent Agent Cognitive Agent Social Intelligence Agent Passing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Kluwer Academic Publishers 2002

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  • Juliette Rouchier

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