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Networks of Artificial Social Interactions Peter Andras1
 

Summary: Networks of Artificial Social Interactions
Peter Andras1
1
School of Computing Science, Newcastle University, Claremont Tower, Claremont Road,
Newcastle upon Tyne, NE1 7RU, United Kingdom
peter.andras@ncl.ac.uk
Abstract. Evolution of cooperation is a fundamental question of socio-biology.
Intrinsic factors like kinship play an important role in cooperation among
selfish individuals. External factors like uncertainty and the structure of the
social interaction network also contribute significantly to the evolution of
cooperation. Here I use agent-based simulations to generate artificial social
networks. I show that some of these networks have similar scale-free structure
as real social networks. The analysis shows that having agents with memory
and with the ability to share their memory through gossiping does not have a
significant effect on the scale-free nature of simulated social networks.
However the presence of high uncertainty in the cooperation games played by
the agents is required for the generation of scale-free social interaction
networks.
Keywords: agent-based modeling, cooperation, evolution, network analysis,
simulation, uncertainty

  

Source: Andras, Peter - School of Computing Science, University of Newcastle upon Tyne

 

Collections: Computer Technologies and Information Sciences