Research On Auto-Negotiation In E-Commerce

Nowadays, Auto-Negotiation in E-commerce has become an important issue while taking the E-commerce into reality , but there is still no satisfying and learning ability solution model to formalize the process of commerce negotiation.On that account , this thesis presents an Auto-Negotiation mechanism that can learn and deduce experiences based on neural networks .To get the successful emulation of the real commerce behavior with effective negotiation strategy , it is suggested that we must take full advantages of experiences learned and organized by neural networks and data bases while realizing the intelligent negotiation in distributed and dynamic E-commerce environment .First,this thesis has studied the significance and actuality of Auto-Negotiation in E-commerce, analyzed the most problems in existence and studied the proper technologies of solving these problems . In the complete research on Agent ,this thesis has given the definition, nature and class of Agent , analyzed basic construct, interactive hierarchy relation , strategy model and application of Agent . In the research on Auto-Negotiation, this thesis has analyzed the definition, character and interactive class of negotiation, studied principle, character and the most problems of Auto-Negotiation, and evaluated all kinds of Auto-Negotiation model . In the research on neural networks, this thesis has studied the structure of neural networks, learning and deducing method and learning sample, and the application of neural networks to negotiation decision function and experience deducing , given the applying model, training sample and experience library and evaluation of the model .Therefore, we construct a logic model for E-commerce Auto-Negotiation and also put its basic functions into an executable program with Java programming language. In this model , we construct the decision-making function of negotiation based on neural networks ,and method of experiences learning and deducing ,and experience bases ,and realize commerce intelligence with negotiation strategy on environment . We also construct more attributive Auto-Negotiation model and run the model to test result .The results of learnable Auto-negotiation by neural networks show that : (1) It is flexible perfect and real to represent user's benefit by decision-making function of negotiation based on neural networks. (2)It make new transaction successful to take advantage of human's experiences learned and deduced by neural networks. (3) The...