Defining factors of interest for large-scale socio-cognitive simulations

Ryan Kaulakis, Changkun Zhao, Jonathan H. Morgan, Jeremiah W. Hiam, Joseph P. Sanford, Frank E. Ritter

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

5 Citations (Scopus)

Abstract

We examine how several environmental factors influence cognition and the emergence of social networks in artificial societies. Using a large-scale socio-cognitive simulation (VIPER), we generated social networks consisting of 20, 40, and 60 agents. We tested the impact that environmental factors such as population size, map configuration, and run time, particularly on the formation of social ties in memory. We analyzed 1,080 ego-nets across 27 conditions, measuring the number of links and average degree of each network. While all these factors influenced these network measures, our results suggest that population size has the largest influence. In addition, we examined what impact activation values and retention parameters have on the construction of social networks in memory, finding that a shift in activation values resulted in a loss of links, thus indicating a cognitive foundation for Dunbar's Number (Dunbar, 1998) for the maximum number of social ties stored in memory.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012
Pages117-122
Number of pages6
StatePublished - 2012
Event11th International Conference on Cognitive Modeling, ICCM 2012 - Berlin, Germany
Duration: Apr 13 2012Apr 15 2012

Other

Other11th International Conference on Cognitive Modeling, ICCM 2012
CountryGermany
CityBerlin
Period4/13/124/15/12

Fingerprint

Social Networks
Environmental Factors
Tie
Population Size
Data storage equipment
Activation
Chemical activation
Impact Factor
Simulation
Cognition
Environmental impact
Configuration
Influence

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation

Cite this

Kaulakis, R., Zhao, C., Morgan, J. H., Hiam, J. W., Sanford, J. P., & Ritter, F. E. (2012). Defining factors of interest for large-scale socio-cognitive simulations. In Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012 (pp. 117-122)
Kaulakis, Ryan ; Zhao, Changkun ; Morgan, Jonathan H. ; Hiam, Jeremiah W. ; Sanford, Joseph P. ; Ritter, Frank E. / Defining factors of interest for large-scale socio-cognitive simulations. Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012. 2012. pp. 117-122
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Kaulakis, R, Zhao, C, Morgan, JH, Hiam, JW, Sanford, JP & Ritter, FE 2012, Defining factors of interest for large-scale socio-cognitive simulations. in Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012. pp. 117-122, 11th International Conference on Cognitive Modeling, ICCM 2012, Berlin, Germany, 4/13/12.

Defining factors of interest for large-scale socio-cognitive simulations. / Kaulakis, Ryan; Zhao, Changkun; Morgan, Jonathan H.; Hiam, Jeremiah W.; Sanford, Joseph P.; Ritter, Frank E.

Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012. 2012. p. 117-122.

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

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Kaulakis R, Zhao C, Morgan JH, Hiam JW, Sanford JP, Ritter FE. Defining factors of interest for large-scale socio-cognitive simulations. In Proceedings of the 11th International Conference on Cognitive Modeling, ICCM 2012. 2012. p. 117-122