| With the rapid development of Internet technology,e-commerce.instant messaging and virtual community continues to deeply affect every aspect of people's lives,relying on individual users continue to produce and accumulate large amounts of data,traditional storage devices cannot meet the needs of individual users to store vast amounts of data.Cloud storage has become a new and effective way that more and more individual users select to store.However,as the number of cloud storage service providers increasing,the quality of service has become an important factor concerned in the choice of the individual user service providers,how to choose the right cloud storage service providers become a serious problem for individual users.In this paper,the system of intelligent Agent auto-negotiation to solve personal cloud storage users to choose in multiple cloud storage service provider,the goal is to maximize their own efficiency and to reach a consensus with the other Agent as soon as possible.Firstly,the current situation at home and abroad in automatic bilateral multi-issue negotiation were reviewed,in-depth research and analysis of multi-Agent system and its common negotiation algorithm.Bayesian algorithm has the characteristics of Agent to get their information through other Agent learning behavior in the negotiation process.Face to the negotiation process for the issue of preference information unknown opponents,this paper proposed preference prediction algorithm based on Bayesian theory(preference prediction based on Bayesian,PPBB),the use of preferences predict calculate the ratio of the importance of preferences and behavior concessions curve opponent,and thereby design the corresponding counteroffer bidding strategies and consultation mechanisms.In this paper,the design and implementation of Agent Automated Negotiation System based on the above algorithms and strategies,gives detailed use cases,process modules,and algorithm design and implementation details. |
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