Title :
Fuzzy and probabilistic reasoning in simple learning classifier systems
Author :
Muruzábal, Jorge
fDate :
Nov. 29 1995-Dec. 1 1995
Abstract :
The paper analyzes the uncertainty-measuring task in stimulus-response (learning) classifier systems and discusses fuzzy and probabilistic structures in the action part of classifiers. A preliminary sketch of a system incorporating bayesian learning on top of the strength-revision process is presented
Keywords :
Bayesian methods; Cascading style sheets; Control systems; Econometrics; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Probability distribution; Solid modeling; Statistical analysis;
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA, Australia
Print_ISBN :
0-7803-2759-4
DOI :
10.1109/ICEC.1995.489156
