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Social Intelligence Among Autonomous Agents

Author

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  • Rosaria Conte

    (Cognitive and Interaction Modelling&2014;PSS (Project on Social Simulation), IP/Cnr)

Abstract

This paper presents a view of social intelligence as a multiple and inter-agent property. On one hand, some fundamental requisites for a theory of mind in society are presented in the paper. On the other, the role of objective social consequences of social action are argued to multiply agents&2018; mental properties. Starting from the problems posed by social situatedness the main mental ingredients necessary for solving these problems are identified. After an operational definition of a socially situated agent, a variety of tasks or demands will be shown to impinge on socially situated agents. The specific cognitive requirements needed for individual agents to accomplish these tasks will be identified. However, these cognitive requirements are shown insufficient to answer the social demands previously identified. In particular, the effective execution of individual social action seems to produce a number of interesting social consequences which extend to and empower the individual action. The follow-up hypothesis is that further cognitive properties consequently arise at the individual level, and contribute to reproduce and reinforce multiple agents&2018; intelligence.

Suggested Citation

  • Rosaria Conte, 1999. "Social Intelligence Among Autonomous Agents," Computational and Mathematical Organization Theory, Springer, vol. 5(3), pages 203-228, October.
    • Handle: RePEc:spr:comaot:v:5:y:1999:i:3:d:10.1023_a:1009634206383
    DOI: 10.1023/A:1009634206383
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    References listed on IDEAS

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    1. Ken Binmore, 1994. "Game Theory and the Social Contract, Volume 1: Playing Fair," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262023636, April.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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    Cited by:

    1. Francesca Borrelli & Cristina Ponsiglione & Luca Iandoli & Giuseppe Zollo, 2005. "Inter-Organizational Learning and Collective Memory in Small Firms Clusters: an Agent-Based Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(3), pages 1-4.
    2. Riccardo Boero & Marco Castellani & Flaminio Squazzoni, 2008. "Individual behavior and macro social properties. An agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 156-174, June.
    3. Schleiffer, Ralf, 2005. "An intelligent agent model," European Journal of Operational Research, Elsevier, vol. 166(3), pages 666-693, November.

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