A Psychology-based Grid Agent Model for Precise Information Retrieval
This paper introduces a new approach to more precise information retrieval. It presents a grid agent model including three kinds of agents: Grid service agent, service request agent and grid space manager. Through actions of registry, discovery and access in grid information service discovery process, the grid space manager will find out the suitable services. Then aiming to implement the flexibility of the grid agent, we think that every grid agent should remember the success and quality of the former cases by its repository and, so that the agent can gain experience of users preference. The method through which the grid agent can seek for the information automatically and precisely by its repository and the method of Artificial Psychology is also emphasized. At last, we conclude highlighting some directions of future research needed to understand the formal characteristics of information retrieval better.
information retrieval distributed digital information grid agent, artificial psychology.
LU Quan LI Gang
Research Center for China Science Evaluation Wuhan University Wuhan,Hubei Province 430072, China School of Information Management Wuhan University Wuhan,Hubei Province 430072, China
国际会议
武汉
英文
745-748
2007-07-25（万方平台首次上网日期，不代表论文的发表时间）