Guided by the principles of Affective Computing (Picard 1997) and affective decision making (Loewenstein and Werenr, 2003) we have developed AISoy1, a social emotional robot capable of interacting intelligently and emotionally with a user. At its core, there is a decision analytic model, see French and Ríos Insua (2000), which guides the robot’s decision making and generates an emotional state as a consequence of evaluating how the environment surrounding it and the actions performed by the users is affecting the achievement of its main goals.

We'll show AISoy1's architecture, placing emphasis on how decision analytic and Bayesian methods support its activities when processing information received through its sensors, forecasting the evolution of its environment, adapting its emotional state and choosing the actions to be made.