Abstract
Classical AI has a long history of building computer systems according to models of the human brain. In contrast, Distributed Artificial Intelligence (DAI) assumes that intelligence is inherently social, emerging from the interactions of multiple autonomous and dispersed entities. From the very beginning of their work, researchers in DAI have used metaphors of the social world as a source of inspiration. However, this occupation was based on a rather intuitive understanding of how human societies are organised — despite appeals to systematically lay “firm social foundations for DAI research” (Les Gasser).
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© 2002 Springer-Verlag Berlin Heidelberg
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Malsch, T. (2002). DFG Priority Program (SPP-1077) Socionics — Investigating and Modelling Artificial Societies. In: Jarke, M., Lakemeyer, G., Koehler, J. (eds) KI 2002: Advances in Artificial Intelligence. KI 2002. Lecture Notes in Computer Science(), vol 2479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45751-8_26
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DOI: https://doi.org/10.1007/3-540-45751-8_26
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