ABC-EBDI: An affective framework for BDI agents

Abstract

The aim of this work is to improve the modelling of intelligent agents that reproduce realistic human behavior. BDI frameworks have been successfully used in this context and have evolved in recent years into EBDI frameworks, in which affective aspects are considered. In this work, an affective EBDI framework named ABC-EBDI is presented. The proposal integrates a well-known psychotherapeutic model, the ABC model, combined with other affective theories, to support the modeling of the agents’ behavioral and affective responses in a unifying and realistic manner. The distinguishing feature of the proposed framework is the classification of the agent’s cognitive-affective process as either rational or irrational. This process will lead to functional emotions and adaptive conduct in the first case and dysfunctional emotions and maladaptive behaviors in the second. The framework models affect by taking into account emotions, mood and personality. It also models human conduct regarding not only actions, but also the way those actions are expressed. A prototype has been implemented based on a bad news scenario and a first evaluation with users has been carried out with promising results.