Authors:
Maud D. Gibbons
;
Josephine Griffith
and
Colm O’Riordan
Affiliation:
Discipline of Information Technology, National University of Ireland, Galway and Ireland
Keyword(s):
Evolutionary Game Theory, Contingent Mobility, Evolution of Cooperation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Computational Intelligence
;
Cooperation and Coordination
;
Evolutionary Computing
;
Mobile Agents
;
Soft Computing
Abstract:
This paper presents work investigating the influence of various environmental and evolutionary factors on the evolution of cooperation in a spatial game theoretical setting. These include agent mobility, population density, agent lifespan, and the placement mechanism. In the model considered, a population of agents inhabit a toroidal lattice grid, in which they participate in the Prisoner’s Dilemma game. The agents have the ability to respond to, and learn from, environmental stimuli. In particular, agents learn movement strategies to compete with other agents in the game, which may result in improved payoffs by increasing the number of beneficial interactions. We compare the levels of cooperation and the corresponding movement strategies evolved under the various environmental and evolutionary settings. We present results indicating that, given suitable densities and evolutionary settings, cooperators in well-mixed populations develop a suitable movement strategy to promote the evol
ution of cooperation. Additionally, we show that cooperation may emerge without significant aid from mobile strategies given a placement mechanism conducive to the formation of cooperator clusters.
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