NICE Seminar 8

Fuzzy Rule-Based Systems for Autonomous Intelligent Agents

When?

Thursday 24 November 2011, 15:30 to 16:30

Where?

39BB02

Open to:

Public, Staff, Students

Speaker:

Dr Tomoharu Nakashima Associate Professor at Osaka Prefecture University, Japan

Fuzzy systems based on fuzzy if-then rules have been shown to be effective especially in the field of control and classification.  Fuzzy systems can be constructed in various modes of learning such as supervised learning, unsupervised learning, and reinforcement leaning.  One advantage of fuzzy systems over non-fuzzy ones is that fuzzy systems can produce non-linear mapping.  Thus the fuzzy systems are able to accomplish complex tasks that cannot be achieved by non-fuzzy rule-based systems.

In this presentation, three fuzzy rule-based systems are shown that are used for the decision making of the following autonomous intelligent agents: a virtual futures trader, an autonomous car controller, and a robotic footballer.  Three learning methods of fuzzy systems for developing autonomous intelligent agents are also shown.  Experimental results for these application domains are shown with some movie demonstrations.