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Modeling Dynamic Multiscale Social Processes in Agent-Based Models
July/August 2008 (vol. 23 no. 4)
pp. 36-42
Jonathan Ozik, Argonne National Laboratory and the University of Chicago
David L. Sallach, Argonne National Laboratory and the University of Chicago
Charles M. Macal, Argonne National Laboratory and the University of Chicago
Identity-related issues play central roles in many current events, including those involving factional politics, sectarianism, and tribal conflicts. Two popular models from the computational-social-science (CSS) literature—the Threat Anticipation Program and SharedID models—incorporate notions of identity (individual and collective) and processes of identity formation. A multiscale conceptual framework that extends some ideas presented in these models and draws other capabilities from the broader CSS literature is useful in modeling the formation of political identities. The dynamic, multiscale processes that constitute and transform social identities can be mapped to expressive structures of the framework.

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Index Terms:
Intelligent agents, social and behavioral sciences
Citation:
Jonathan Ozik, David L. Sallach, Charles M. Macal, "Modeling Dynamic Multiscale Social Processes in Agent-Based Models," IEEE Intelligent Systems, vol. 23, no. 4, pp. 36-42, July-Aug. 2008, doi:10.1109/MIS.2008.71
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