The role of emotion in believable agents
Communications of the ACM
Affective computing
A framework for the simulation of agents with emotions
Proceedings of the fifth international conference on Autonomous agents
Moral Sentiments in Multi-Agent Systems
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
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It is generally recognized that the use of emotions plays an important role in human interactions, for it leads to more flexible decision-making. In the present work, we extend the idea presented in a paper by Castelfranchi, Conte, and Paolucci, by employing a systematic and detailed model of emotion generation. A scenario is described in which agents that have various types of emotions make decisions regarding compliance with a norm. We compare our results with the ones achieved in previous simulations and we show that the use of emotions leads to a selective behavior which increases agent performance, considering that different types of emotions cause agents to have different acting priorities.