Building social networks out of cognitive blocks: factors of interest in agent-based socio-cognitive simulations

Changkun Zhao (), Ryan Kaulakis (), Jonathan H. Morgan (), Jeremiah W. Hiam (), Frank E. Ritter (), Joesph Sanford () and Geoffrey P. Morgan ()
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Changkun Zhao: The Pennsylvania State University
Ryan Kaulakis: The Pennsylvania State University
Jonathan H. Morgan: Duke University
Jeremiah W. Hiam: The Pennsylvania State University
Frank E. Ritter: The Pennsylvania State University
Joesph Sanford: Tufts University
Geoffrey P. Morgan: Carnegie Mellon University

Computational and Mathematical Organization Theory, 2015, vol. 21, issue 2, No 1, 115-149

Abstract: Abstract This paper examines how cognitive and environmental factors influence the formation of dyadic ties. We use agent models instantiated in ACT-R that interact in a social simulation, to illustrate the effect of memory constraints on networks. We also show that environmental factors are important including population size, running time, and map configuration. To examine these relationships, we ran simulations of networks using a factorial design. Our analyses suggest three interesting conclusions: first, the tie formation of these networks approximates a logistic growth model; second, that agent memory quality (i.e., perfect or human-like) strongly alters the network’s density and structure; third, that the three environmental factors all influence both network density and some aspects of network structure. These findings suggest that meaningful variance of social network analysis measures occur in a narrow band of memory strength (the cognitive band); the threshold for defining tie criteria is important; and future simulations examining generative social networks should control and carefully report these environmental and cognitive factors.

Keywords: Cognitive simulation; ACT-R; Dunbar’s number; Social cognition (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10588-014-9179-0

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