Authors:
João Gluz
and
Patricia Jaques
Affiliation:
UNISINOS, Brazil
Keyword(s):
BDI, Emotions, Appraisal, OCC.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bayesian Networks
;
Cognitive Systems
;
Computational Intelligence
;
Enterprise Information Systems
;
Evolutionary Computing
;
Knowledge Representation and Reasoning
;
Soft Computing
;
Symbolic Systems
Abstract:
A very well known reasoning model in Artificial Intelligence is the BDI (Belief-Desire-Intention). 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. Although humans need emotions in order to make immediate decisions
with incomplete information, traditional BDI models do not take into account affective states of the agent.
In this paper we present an implementation of the appraisal process of emotions in BDI agents using a BDI
language that integrates logic and probabilistic reasoning. Specifically, we implement the event-generated
emotions with consequences for self based on the OCC cognitive psychological theory of emotions. We also
present an illustrative scenario and its implementation. One original aspect of this work is that we implement
the emotions intensity using a probabilistic extension of a BDI language. This intensity is defined by the
desirability central value, as pointed by th
e OCC model. In this way, our implementation of an emotional BDI
allows to differentiate between emotions and affective reactions. This is an important aspect because emotions
tend to generate stronger response. Besides, the intensity of the emotion also determines the intensity of an
individual reaction.
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