@inproceedings{d18502cbb32c4999a47b5a6451f1003f,
title = "Evolution of coordinated behaviour in artificial life simulations",
abstract = "This paper describes research and results in the evolution of coordinated behaviours among agents inhabiting a virtual world where interactions and payoffs are modelled using the prisoners dilemma. Each agent's action in the game and their movements in the game are controlled by their genotype which is subject to evolutionary pressure; fitness is calculated as the payoff accumulated in the simulation. A number of experiments are presented which show that agents evolved a form of coordination during the evolutionary simulation. Experiments detailing the effect of changing the game payoff and changing the initial clustering of the agents are also discussed.",
keywords = "Artificial life, Coordination, Evolution, Prisoner's dilemma",
author = "Maud Gibbons and Colm O'Riordan",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 IADIS Press All rights reserved.; European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 ; Conference date: 15-07-2014 Through 17-07-2014",
year = "2014",
language = "English",
series = "Proceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014",
publisher = "IADIS",
pages = "237--241",
editor = "Jorg Roth and Abraham, \{Ajith P.\} and \{dos Reis\}, \{Antonio Palma\}",
booktitle = "Proceedings of the European Conference on Data Mining 2014 and International Conferences on Intelligent Systems and Agents 2014 and Theory and Practice in Modern Computing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014",
}