Fuzzy cognitive maps for the simulation of individual adaptive behaviors

This paper focuses on the simulation of behavior for autonomous entities in virtual environments. The behavior of these entities must determine their responses not only to external stimuli, but also with regard to internal states. We propose to describe such behavior using fuzzy cognitive maps (FCMs...

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Bibliographic Details
Published in:Computer animation and virtual worlds 2010-11, Vol.21 (6), p.573-587
Main Authors: Buche, C., Chevaillier, P., Nédélec, A., Parenthoën, M., Tisseau, J.
Format: Article
Language:English
Subjects:
agent modeling
Artificial Intelligence
behavioral simulation
cognitive map
Computer Science
learning by imitation
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Summary:This paper focuses on the simulation of behavior for autonomous entities in virtual environments. The behavior of these entities must determine their responses not only to external stimuli, but also with regard to internal states. We propose to describe such behavior using fuzzy cognitive maps (FCMs), whereby these internal states might be explicitly represented. This paper presents the use of FCMs as a tool to specify and control the behavior of individual agents. First, we describe how FCMs can be used to model behavior. We then present a learning algorithm allowing the adaptation of FCMs through observation. Copyright © 2010 John Wiley & Sons, Ltd. This article presents the use of fuzzy cognitive maps (FCMs) as a tool to specify and control the behavior of agents. We describe how fuzzy cognitive maps can be used to model individual behavior and we present a learning algorithm allowing the adaptation of FCMs through observation.
ISSN:1546-4261
1546-427X
DOI:10.1002/cav.363