Insights into the Impact of Social Networks on Evolutionary Games

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Author(s): Katia Sycara (Carnegie Mellon University, USA), Paul Scerri (Carnegie Mellon University, USA)and Anton Chechetka (Carnegie Mellon University, USA)
Copyright: 2009
Pages: 15
Source title: Selected Readings on the Human Side of Information Technology
Source Author(s)/Editor(s): Edward J. Szewczak (Canisius College, USA)
DOI: 10.4018/978-1-60566-088-2.ch018

Keywords: Human Aspects of Technology / Information Science Reference / Social Sciences & Humanities

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Abstract

In this chapter, we explore the use of evolutionary game theory (EGT) (Nowak & May, 1993; Taylor & Jonker, 1978; Weibull, 1995) to model the dynamics of adaptive opponent strategies for a large population of pl ion propagation through social networks in evolutionary games. The key underlying phenomenon that the information diffusion aims to capture is that reasoning about the experiences of acquaintances can dramatically impact the dynamics of a society. We present experimental results from agent-based simulations that show the impact of diffusion through social networks on the player strategies of an evolutionary game and the sensitivity of the dynamics to features of the social network.

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Insights into the Impact of Social Networks on Evolutionary Games

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