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Social Intelligence for Computers 91new forms of communication, building ways to secure their trust in any newlymet agent that must not stay a stranger.I recalled that, in order to create new ways of communicating, even humansneed to take inspiration in existing institutions in order to create new relationalpatterns. What is important in this case is the transposition of these institutionsin a new field of relation. It thus seems reasonable to argue that, in the caseartificial agents, transposition of old communication systems (that don’t need tobe non-contradictory) in a new context could also be at the basis of the creativitywe are looking for. The actual research on agents languages, trying to reduceambiguity in communication, may at some point help to design socially intelligentagents by giving them examples of what communication is, before theyproduce alternative ways. But at the same time it stays clear that specialisationin a task is contradictory to the presence of creativity in social relations. Thedesire for communication, a range of diverse example of quite sophisticatedinteractions and a huge number of reasons to communicate among themselves,seem to be necessary to sustain artificial agents in their attempt to find out theintention of the others and adapt to their habits of communication constantly.References[1] Byrne R., Whiten A. Machiavellian Intelligence. Clarendon Press, Oxford, 1988.[2] Boissier O., Demazeau Y., Sichman J. Le problème du contrôle dans un Système Multi-Agent (vers un modèle de contrôle Social). In: 1ère Journée Nationale du PRC-IA sur lesSystèmes Multi-Agents, Nancy, 1992.[3] Boltanski L., Thévenot L. De la justification : les économies de la grandeur, Gallimard,Paris, 1987.[4] Bordini R. H. Contributions to an Anthropological Approach to the Cultural Adaptationof Migrant Agents, University College, London, Department of Computer science,University of London, 1999.[5] Castelfranchi C., Conte R. Distributed Artificial Intelligence and social science: criticalissues, In: Foundations in Distributed Artificial Intelligence, Wiley, 527–542, 1996.[6] Cardon A. Conscience artificielle et systèmes adaptatifs. Eyrolles, Paris, 1999.[7] Dautenhahn, K. I Could Be You: The phenomenological dimension of social understanding.Cybernetics and Systems, 28:417–453, 1997.[8] Doran J. Simulating Collective Misbelief, Journal of Artificial Societies and SocialSimulation, , 1998.[9] Drogoul A., Corbara B., Lalande S. MANTA: new experimental results on the emergenceof (artificial) ant societies, In: Artificial societies. The computer simulation of social life,UCL, London, pp 190–211, 1995.[10] Drogoul A. Systèmes multi-agents situés. Mémoire d’habilitation à diriger des recherches(habilitation thesis), 17 march 2000.[11] Esfandiari B., et al.. Systèmes Multi-Agents et gestion de réseaux, Actes des 5èmeJournées Internationales PRC-GDR Intelligence Artificielle, , Toulouse, 317–345, 1995.