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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Pubblicato in:	IEEE Transactions on fuzzy systems 12, 1 (2004).
Autore principale:	Chrysanthakopoulos, G.
Natura:	Articolo
Lingua:	English
Soggetti:	ORG fuzzy agents. Abstract rules. Attention focus. Autonomous agent design. Emergent behavior. Emotional agent. Explanation facility. Fuzzy clustering. Fuzzy-logic autonomous agent. Intelligent agent. Modular architecture. Path planning. Problem solving ability. Self-reflection. Sensor modeling. Shallow water environment. Simulated environment. Software design. Supervisory controller. Unsupervised learning system. Variable-input variable-output engine.