Study for Complicated Decision Task Modeling Based on Bayesian Networks

摘要

With the development of information and networks technique, a severe challenge is put off to the complicated task's decision & solving by the complexity of the system. Modeling and solving the complicated decision task by using Agent technique and the Bayesian networks technique can make full use of the mutual relation among the system's parts, and provide a new thinking for the complicated problem solving. An analysis for the process of complicated decision task modeling basing on Bayesian networks is given. firstly, and then the Agent technique is used to the sub-networks for the modularity and solving of the complicated decision task, the two techniques simplify the decision process.