Evolutionary Games and Social Networks in Adversary Reasoning - Robotics Institute Carnegie Mellon University

Evolutionary Games and Social Networks in Adversary Reasoning

Katia Sycara, Paul Scerri, and Anton Chechetka
Conference Paper, Proceedings of 6th International Conference on Complex Systems (ICCS '06), June, 2006

Abstract

In this paper, we explore use of evolutionary game theory (EGT) [5] to model the dynamics of adaptive opponent strategies for large population of players and strategies. In particular, we explore effects of information propagation through social networks in Evolutionary Games. The key underlying phenomenon that the information diffusion aims to capture is that the experiences of acquaintances can also be leveraged to speed up learning in the agent society. We present experimental results from agent-based simulations that show the impact of information diffusion through social networks on the player strategies of an evolutionary game.

BibTeX

@conference{Sycara-2006-9522,
author = {Katia Sycara and Paul Scerri and Anton Chechetka},
title = {Evolutionary Games and Social Networks in Adversary Reasoning},
booktitle = {Proceedings of 6th International Conference on Complex Systems (ICCS '06)},
year = {2006},
month = {June},
}