Fuzzy Neuro-BDI
Haibo Liu, Guochang Gu, Jing Shen · 2006
The typical BDI (Belief-Desire-Intention) model of agent is not efficiently computable and the strict logic expression is not easily applicable to the domain with uncertainties. In this paper, a fuzzy neuro-BDI model is proposed. The model is a fuzzy neural network composed of five layers: input (beliefs & desires), fuzzification, commitment, fuzzy intention, and defuzzification layer. In the model, the fuzzy commitment rules and neural network are combined to form intentions from beliefs and desires. The model is demonstrated by solving dog-sheep problem, and the simulation result is satisfactory.