BDI Model Based on Fuzzy Wavelet Neural Network
Kong Xiao-dong · Jisuanji fangzhen · 2009
The BDI model is not efficiently computable and not easily applicable to the domain with fuzzy.A BDI model based on fuzzy wavelet neural network(FWNN) was proposed.FWNN employed neural network to implement fuzzification,fuzzy commitment,and defuzzification,and used wavelet-based function as member function.So both the network weights and the shape of member function could be learned.The experiment with one to one agent pursuit-evasion game shows that the proposed model and its algorithm are feasible.