Atlantis Press Paper Details: Fuzzy Rules for Events Perception and Emotions in an Agent Architecture

In complex simulations, multi-agents systems allow to model virtual humans with an explicit cognitive process representation. However, this cognitive process is hard to model and is therefore generally simplified in an application-dependant way. In order to improve the realism of individual and collective behavior of these agents, we propose to integrate the perception of events and the computation of agents emotions in a fuzzy framework. The modeling of the perception and its effect on emotions through fuzzy rules enables the agents to consider properly the virtual environment. We show how different kinds of fuzzy rules can help in the calculus of emotions. Computation of emotions is based on the evaluation of events' occurrence. Once the events are perceived by the agents, our method uses the desirability of these events to compute emotions relevant to crisis situations. We illustrate this model with a traffic simulation example.

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title:		Fuzzy Rules for Events Perception and Emotions in an Agent Architecture
publication:		EUSFLAT
part of series:		Advances in Intelligent Systems Research
pages:		657 - 664
DOI:		To be assigned soon (how to use a DOI)
author(s):		Hazael Jones, Julien Saunier, Domitile Lourdeaux
publication date:		July 2011
keywords:		Fuzzy Rules, Events, Desirability, Emotions, Multi-agent Systems, Virtual Reality
abstract:		In complex simulations, multi-agents systems allow to model virtual humans with an explicit cognitive process representation. However, this cognitive process is hard to model and is therefore generally simplified in an application-dependant way. In order to improve the realism of individual and collective behavior of these agents, we propose to integrate the perception of events and the computation of agents emotions in a fuzzy framework. The modeling of the perception and its effect on emotions through fuzzy rules enables the agents to consider properly the virtual environment. We show how different kinds of fuzzy rules can help in the calculus of emotions. Computation of emotions is based on the evaluation of events' occurrence. Once the events are perceived by the agents, our method uses the desirability of these events to compute emotions relevant to crisis situations. We illustrate this model with a traffic simulation example.
copyright:		© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
full text:		eusflatlfa2011_S13_5.pdf (1258 K)