Abstract
Experimental economics has many works that demonstrate the influence of emotions and affective issues on the process of human strategic decision making. Personality, emotions and mood produce biases on what would be considered the strategic solution (Nash equilibrium) to many games. Thus considering these issues on simulations of human behavior may produce results more aligned with real situations. We think that computational agents are a suitable technology to simulate such phenomena. We propose to use O3A, an Open Affective Agent Architecture to model rational and affective agents, in order to perform simulations where agents must take decisions as close as possible to humans. The approach evaluation is performed trough the classical prisoner dilemma and trust games.
