Voting theory, data fusion, and explanations of social behavior

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

4 Scopus citations

Abstract

The challenge of using communications infrastructure to stabilize other infrastructures is related to research on the collective communications systems in social animals, robots, and human-non-human interaction. In these systems, voting models can explicate patterns of observed behavior or predict collective outcomes. Developing more theoretical deductive explanatory power can increase our knowledge about the interplay of voters and communication that produces collective inferences. This paper suggests that many analyses of voting patterns have not integrated what is known about the predictive properties of voting processes into their analyses. Taking a more deductive approach enables us to think about the strengths and weaknesses of existing explanations and imagine new types of analysis that have implications for engineering communications systems to stabilize other infrastructures.

Original languageEnglish (US)
Title of host publicationModeling Complex Adaptive Systems as if They Were Voting Processes - Papers from the AAAI Spring Symposium, Technical Report
Pages29-34
Number of pages6
StatePublished - Aug 15 2011
Event2011 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 21 2011Mar 23 2011

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-11-08

Other

Other2011 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/21/113/23/11

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Urken, A. B. (2011). Voting theory, data fusion, and explanations of social behavior. In Modeling Complex Adaptive Systems as if They Were Voting Processes - Papers from the AAAI Spring Symposium, Technical Report (pp. 29-34). (AAAI Spring Symposium - Technical Report; Vol. SS-11-08).