The Effect of Heterogeneous Agents in Socio-cognitive Networks

Open Access
Tseng, Jui-te
Graduate Program:
Computer Science and Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
November 22, 2013
Committee Members:
  • Frank Edward Ritter, Thesis Advisor
  • ACT-R
  • Cognitive modeling
  • Social-cognitive network
  • network formation
  • Heterogeneity
This research examined the effect of heterogenous agents in comparison with homogeneous agents in socio-cognitive network formation. I used cognitive agents connected to a virtual world and based on their interaction formed networks. The agents are different in movement strategies and starting locations. I found that: (a) the difference between homogeneous agents and heterogeneous agents, and (b) the starting locations of agents, both affect network formation. The results of heterogeneous agents in network formation is different from the average results of homogeneous agents and indicates heterogeneity changed the network formation fundamentally. So, network simulation should include heterogeneous agents.