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...
| Опубликовано в:: | IEEE Transactions on fuzzy systems 12, 1 (2004). |
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| Главный автор: | |
| Формат: | Статья |
| Язык: | English |
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