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Simulating Collective Misbelief

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Abstract

It appears that what the agents in a multiple agent system believe is typically partial, often wrong and often inconsistent, but that this may not be damaging to the system as a whole. Beliefs which are demonstrably wrong I call misbeliefs. Experiments are reported which have been designed to investigate the phenomenon of collective misbelief in artificial societies, and it is suggested that their results help us to understand important human social phenomena, notably ideologies

Suggested Citation

  • Jim Doran, 1998. "Simulating Collective Misbelief," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(1), pages 1-3.
    • Handle: RePEc:jas:jasssj:1997-7-1
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    File URL: https://www.jasss.org/1/1/3/3.pdf
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    1. 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, December.
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    Cited by:

    1. James Dow, 2008. "Is Religion an Evolutionary Adaptation?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-2.
    2. Jim Doran, 2011. "Two Outline Models of Science: AMS And HAMS," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-5.
    3. David Hales, 1998. "An Open Mind is Not an Empty Mind: Experiments in the Meta-Noosphere," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(4), pages 1-2.
    4. Narine Udumyan & Juliette Rouchier & Dominique Ami, 2014. "Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 199-231, February.
    5. Rafael H Bordini & John A. Campbell & Renata Vieira, 1998. "Extending Ascribed Intensional Ontologies with Taxonomical Relations in Anthropological Descriptions of Multi-Agent Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(4), pages 1-3.

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