Emergent (info)institutions

  • Authors:
  • Rosaria Conte

  • Affiliations:
  • Project on Social Simulation (PSS), National Research Council, Institute of Psychology, Rome, Italy and University of Siena, Communication Sciences - 'Social Psychology', Siena, Italy

  • Venue:
  • Cognitive Systems Research
  • Year:
  • 2001

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Abstract

In this paper, the problem of social order posed by infosocieties is illustrated and solutions are discussed. Two main solutions are currently implemented in the fields of Artificial Societies and Multiagent Systems, i.e. Evolutionary Algorithms, on one hand, and Designed Institutions, on the other. Both proceed from controversial assumptions. Evolutionary Algorithms are based upon the idea that reproduction and imitation of fit individuals yield social evolution. However, this idea has been efficaciously [Journal of Artificial Societies and Social Simulation 1 (1998) 3] questioned. The complementary solution, i.e. Designed Institutions, is based upon systems of incentives and sanctions. In this paper, these are argued to be unreliable and even counterproductive, especially when natural agents are involved. Emergent social Institutions and distributed control are thus discussed as an alternate solution to the problem of social order. Hypotheses about the co-evolutionary process, including mental and social structures, leading to Emergent Institutions are discussed, and advantages over the preceding solutions are illustrated. Unlike Evolutionary Algorithms, Emergent Institutions are based upon (implicit) social norms and reputation. Unlike Designed Institutions, Emergent Institutions give rise to spontaneous social control, which is more efficient and less costly than centralised control. Finally, the role of Emergent Institutions in infosocieties is examined.