CAS Characteristic and Evolutional Driving Power Analysis of Government Information Resources Allocation

摘要：

The purpose of this paper is to provide a theoretical platform for studying the characteristic of government information resources allocation in terms of complex adaptive system approach and analyze the related evolutive driving power referencing concept of potential energy in Physics. In this paper, government information resources allocation is seen as a complex system. The expression of the complexity and uncertainty of this system under the Complex adaptive system mode is presented. According to the expression, the related evolutive driving powers (area gravitation, interest gravitation, information capacity gravitation and power gravitation.) borrowing ideas from potential energy in physics are summarized. The analytical expression of the complexity and uncertainty of government information resources allocation under the Complex adaptive system mode and the comprehensive abstract of its evolutive driving power, provide a theoretical reference basis for government information resources allocation research and practice.

关键词： Government information resources Complexity Uncertainty Evolutional driving power

作者: ZHOU Ping

作者单位: School of Information Technology, Jiangxi University of Finance and Economics,Nanchang, P.R. China, 330013

会议类型: 国际会议

会议名称: 2010 International Conference on Public Administration(6th)(2010 第六届公共管理国际会议)

会议地点: 澳大利亚堪培拉

会议语种:英文

页码: 578-582

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）