Virtual worlds as fuzzy cognitive maps

Authors:
J. A. Dickerson;B. Kosko
Affiliations:
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA;Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
Venue:
VRAIS '93 Proceedings of the 1993 IEEE Virtual Reality Annual International Symposium
Year:
1993

Citing 0
Cited 6

A fuzzy cognitive map approach for effect-based operations: An illustrative case

Information Sciences: an International Journal
A cognitive WSN framework for highway safety based on weighted cognitive maps and Q-learning

Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Bi-linear adaptive estimation of Fuzzy Cognitive Networks

Applied Soft Computing
Fuzzy cognitive maps and cellular automata: An evolutionary approach for social systems modelling

Applied Soft Computing
Dynamic green self-configuration of 3G base stations using fuzzy cognitive maps

Computer Networks: The International Journal of Computer and Telecommunications Networking
A cognitive framework for WSN based on weighted cognitive maps and Q-learning

Ad Hoc Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fuzzy cognitive maps (FCMs) can structure virtual worlds. FCMs link causal events, values, goals, and trends in a fuzzy feedback dynamical system. They direct actors in virtual worlds as the actors react to events and to one another. In nested FCMs each causal concept can control its own FCM. This combines levels of fuzzy systems that can choose goals or move objects. Adaptive FCMs change as causal patterns change. They adapt with differential Hebbian learning. FCMs are applied to an undersea virtual world of dolphins.