Abstract
I. INTRODUCTION
A. What is Go?
B. Go Rutes
C. Why is Computer Go so Hard?
D. Fascinating Problem Domain for Al Research
E. Representation of Go Knowledge
II. APPLICATION OF FUZZY REASONING TO GO
A. Neural network for supervised learning
B. Evaluation of candidate moves
C.Neuro-fuzzy controller
D. Temporal Difference learning
III. RESULTS AND DISCUSSION
A. Influence function
B. Neruo-Fuzzy controller
C. Difficulty in assesig the performance
IV. CONCLUSIONS
REFFERENCES
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