B.D. Lee, H.W. Guesgen (New Zealand), J. Baltes (Canada), and S.-H. Jeong (Korea)
Neuro-Fuzzy Reasoning, Temporal Difference Learning,Neural Network, Distance Transform, Computer Go
This paper describes the result of applying neuro-fuzzy rea soning, which conducts Go term knowledge based on pat tern knowledge, to the opening game of Go. We discuss the implementation of neuro-fuzzy reasoning for deciding the best next move to proceed through the opening game. We also let neuro-fuzzy reasoning play against TD() learning to test the performance. The experimental result reveals that simple neuro-fuzzy reasoning performs considerably better than TD learning and it shows great potential to be applied to the real game of Go.
Important Links:
Go Back
