The complexity of two: Dyadic processes and evolving social aggregations

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computational models of aggregated social agents have two major faults: (1) inter-individual entrainment is ignored; and (2) rule-sets governing behavior are invariant to history. Together these shortcomings impede our ability to generate realistic models of complex evolving social processes. To illustrate how even simple couplings within an established dyad generates unexpected outcomes, we present our findings from two computer models (agent-based, particle filter) of married couples.

Original languageEnglish (US)
Title of host publicationAI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups - Papers from the AAAI Spring Symposium
Pages19-20
Number of pages2
StatePublished - Aug 16 2012
Event2012 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 26 2012Mar 28 2012

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-12-01

Other

Other2012 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/26/123/28/12

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Griffin, W., & Li, X. (2012). The complexity of two: Dyadic processes and evolving social aggregations. In AI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups - Papers from the AAAI Spring Symposium (pp. 19-20). (AAAI Spring Symposium - Technical Report; Vol. SS-12-01).