Structure identification of fuzzy model
Fuzzy Sets and Systems
Fuzzy controlled robot arm playing two-dimensional ping-pong game
Fuzzy Sets and Systems - On Applications of Fuzzy Logic Control to Industry
Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Monte-Carlo methods in pool strategy game trees
CG'06 Proceedings of the 5th international conference on Computers and games
Optimization of a billiard player: tactical play
CG'06 Proceedings of the 5th international conference on Computers and games
Hi-index | 0.00 |
An important step in any machine intelligence is to automatically and reliably decide on a solution/outcome based on the inputs given. The mapping of the inputs to an output decision often follows a set of critical rules that mimic the decision that would often be decided by a human being. In this paper, the performance of a fuzzy-based decision system for playing a game of pool is presented by comparing the results involving direct hit with two known systems. The performance is also compared to the decision that would be made by the human players. The design steps for the fuzzy-based decision system are presented using the fuzzy logic approach by employing a three-input one-output fuzzy inference system based on a set of 24 rules. The results have shown that fuzzy logic is able to accurately decide on the best move, which is as good as the human players themselves.