Abstract
In human societies, facts are constructed through social consensus. Here, the formation of social institutions in such a society is studied using a multi-agent-based simulation. Institutions are formed through communications among members, and the effects of errors in communication on the formation of institutions are investigated. Our results show that the institution is established when information suppliers frequently make errors in their information interpretation. We propose here that there is a phase transition in the error rate of the information suppliers in the formation of institutions.
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Merker, B.: From ape culture to ritual culture and language via vocal learning for song: The singular path to human uniqueness. In: Malloch, S., Trevarthen, C. (eds.) Communicative Musicality. Oxford University Press, Oxford (forthcoming)
Sawabe, N.: Private communication
Berger, P.L., Luckmann, T.: The Social Construction of Reality: A Treatise in the Sociology of Knowledge. Anchor (1967)
Searle, J.R.: The Construction of Social Reality. Free Press, New York (1995)
Veblen, T.B.: The Place of Science in Modern Civilisation and Other Essays. Huebsch (1919)
Egashira, H., Hashimoto, T.: The formation of common norms on the assumption of ‘fundamentally’ imperfect information. In: Conte, R., Dellarocas, C. (eds.) Social Order in Multiagent Systems. Kluwer, Dordrecht (2001)
Conte, R., Castelfranchi, C.: Cognitive and Social Action. University College Press, London (1995)
Epstein, J.M., Axtell, R.: Growing Artificial Societies. MIT Press, Cambridge (1996)
Conte, R., Dellarocas, C. (eds.): Social Order in Multiagent Systems. Kluwer, Dordrecht (2001)
Felix, F., Polani, D., Uthmann, T.: Modelling the emergence of possession norms using memes. Journal of Artificial Societies and Social Simulation 4(4) (2001)
Hashimoto, T., Egashira, S.: Formation of social norms in communicating agents with cognitive frameworks. Journal of Systems Science and Complexity 14, 54–74 (2001)
Keynes, J.M.: The General Theory of Employment, Interest, and Money. Macmillan University Press, Cambridge (1936)
Eigen, M.: Selforganization of matter and evolution of biological macromolecules. Naturwissenschaften 58, 465–523 (1971)
Sato, T., Hashimoto, T.: Dynamic social simulation with multi-agents having internal dynamics. In: Hashida, K., Nitta, K. (eds.) New Frontiers in Artificial Intelligence. Springer, Heidelberg (forthcoming)
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Hashimoto, T., Egashira, S. (2005). Multi-agent-based Simulation for Formation of Institutions on Socially Constructed Facts. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_68
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DOI: https://doi.org/10.1007/11553090_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28848-0
Online ISBN: 978-3-540-31816-3
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