A fuzzy-logic autonomous agent applied as a supervisory controller in a simulated environment.

An unsupervised learning system, implemented as an autonomous agent is presented. A simulation of a challenging path planning problem is used to illustrate the agent design and demonstrate its problem solving ability. The agent, dubbed the ORG, employs fuzzy logic and clustering techniques to effici...

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發表在:IEEE Transactions on fuzzy systems 12, 1 (2004).
主要作者: Chrysanthakopoulos, G.
格式: Article
語言:English
主題: