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A Probabilistic Approach to Represent Emotions Intensity into BDI Agents

  • João Carlos Gluz
  • Patricia Augustin JaquesEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8946)

Abstract

The BDI (Belief-Desire-Intention) model is a well known reasoning architecture for intelligent agents. According to the original BDI approach, an agent is able to deliberate about what action to do next having only three main mental states: belief, desires and intentions. A BDI agent should be able to choose the more rational action to be done with bounded resources and incomplete knowledge in an acceptable time. As humans need emotions to make immediate decisions with incomplete information, some recent works have extending the BDI architecture in order to integrate emotions. However, as they only use logic to represent emotions, they are not able to define the intensity of the emotions. In this paper we present an implementation of the appraisal process of emotions into BDI agents using a BDI language that integrates logic and probabilistic reasoning. Hence, our emotional BDI implementation allows to differentiate between emotions and affective reactions. This is an important aspect because emotions tend to generate stronger response. Besides, the emotion intensity also determines the intensity of an individual reaction. In particular, we implement the event-based emotions with consequences for self based on the OCC cognitive psychological theory of emotions. We also present an illustrative scenario and its implementation.

Keywords

BDI Emotions Appraisal OCC Bayesian decision networks BDN 

Notes

Acknowledgements

This work is supported by the following research funding agencies of Brazil: CAPES, CNPq, FAPERGS and RNP/CTIC.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.PIPCA - UNISINOSSão LeopoldoBrazil

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