会议专题

Research on Science & Technology Awards Evaluation System Based on Multi-Agent

Science & technology awards evaluation is an important part of governments work, the fairness, reasonableness and accuracy of the result have a direct impact on science & technology awards results. To ensure the justice and reasonable plays an important social function in science & technology awards work. With the development of artificial intelligence, Agent and Multi-Agent technology have become more sophisticated, its unique mechanism of selflearning and self-inference has been used in a number of transactions and got a good application. This paper discusses the science & technology awards evaluation system based on Multi-Agent technology.

Multi-Agent science & technology awards evaluation system architecture

Zeng Hui Chen Xiao

School of Information Engineering, East China Jiaotong University, Nan Chang 330013, China

国际会议

2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

杭州

英文

11-15

2012-03-23(万方平台首次上网日期,不代表论文的发表时间)