网络交易中多Agent协商策略的研究

网络购物是当今社会发展的必然趋势，如何在丰富的网络资源中选择自己需求的商品达成交易是关键。因此根据Agent技术的特点，采用Agent技术对网络资源进行收集、选择、提取，获得用户满意的商品信息，并提出了一种多Agent协商策略模型，收到对方提出的意见后通过经验值和互助机制作出一定的判断，看是否达到预期的效果给出相应的反映。该模型主要通过经验值的积累，准确掌握对方的信息，制定出一套协商策略，采用利益随机调整方式选择对策，促进协商成功。经过实验证明，此算法有效。

Research on Multi - Agent Negotiation Strategy in Network Transactions

The online shopping is the inevitable trend of development in today＇ s society, how to choose their own needs in extensive network of resources for dealing is the key. Therefore. according to the characteristics of Agent technology, use the Agent technology to collect. select. extract the network resources in order to obtain information about user satisfaction with the goods. and propose a model of multi - Agent negotiation strategy. the advice received from the other values through experience and mutual support mechanisms to make certain judgments. to see whether the expected results given the appropriate reflection. The model is mainly through the accumulation of experience and accurately grasps each other＇ s information. develop a negotiation strategy, using random adjustment method to select countermeasures interests, and promoting the negotiation succeeds. Tests have proved that this algorithm is effective.