Research And Application On Agent Autonomous Learning Model Based On DFL

Based on analyzing the essence of Agent learning, we use DFL to develop a model of Agent autonomous learning. It is a dynamic Agent learning model. Our maim work includes four aspects as follows:1.Through analysing actual statement of Agent learning model, the author builds dynamic Agent learning one.2. An Agent autonomous learning model is given.3. An Agent learning flow algorithm is given.4.The new Agent learning model can be applied in some problems of the combinatorics.Through the work above, we give the reasonable description on Agent autonomous learning model in the essence. It is an effective theoretical base of Agent learning method for the deep discussion. On one hand, we offset the shortcoming of actual theory. On the other hand, it helps people to research Agent learning in a new way.