Title :
Fuzzy distributed artificial intelligence systems
Author :
Nakamiti, G. ; Freitas, R. ; Prado, J. ; Gomide, F.
Author_Institution :
DEMAC/IGCE, Univ. Estadual Paulista, Sao Paulo, Brazil
Abstract :
In this paper, we introduce a fuzzy distributed artificial intelligence (FDAI) approach. Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems, giving much more flexibility and providing the subsidies which a formal theory can bring. The appropriateness of the FDAI approach is explored in an important application, a fuzzy distributed traffic-light control system, where we have been able to aggregate and study several issues concerned with fuzzy and distributed artificial intelligence. We also present a number of current research directions necessary to develop the FDAI approach more fully
Keywords :
case-based reasoning; fuzzy control; fuzzy logic; intelligent control; road traffic; signalling; traffic control; uncertainty handling; case based reasoning; fuzzy distributed artificial intelligence; fuzzy logic; fuzzy systems; problem solving; road traffic control; traffic-light control system; uncertainty handling; Aggregates; Artificial intelligence; Control systems; Distributed control; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent systems; Problem-solving; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343741