Evolutionary dynamics of spatial games
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Affective computing
Wayward Agents in a Commuting Scenario (Personalities in the Minority Game)
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Extending the Computational Study of Social Norms with a Systematic Model of Emotions
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Design and implementation of GEmA: A generic emotional agent
Expert Systems with Applications: An International Journal
Feeling ambivalent: a model of mixed emotions for virtual agents
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
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The Iterated Prisoner's Dilemma (IPD) has been used as a paradigm for studying the emergence of cooperation among individual agents. Many computer experiments show that cooperation does arise under certain conditions. However, little attention has been paid to aspects of emotions in this context. The goal of this work is thus to develop a framework for modelling agents with emotions. It allows the design of such agents, which interact with neighbours or their social groups. This paper describes a scenario in which agents may have various types of emotions, and which uses the IPD as a metaphor for social interactions. We compare our results with standard ones achieved in the scenario of a two-dimensional array of either cooperators or defectors, without any kind of emotion involved. Our results show that the ratio of cooperators is slightly higher when agents make decisions using emotions. This might be explained by the fact that agents are not so short-sighted in that they always either cooperate or defect. Rather, their flexibility increases when they are able to use emotions to decide which course of action to take during the game.