摘要
在网格环境下,信息主体间的关联性更加突出,由于每个信息主体都是利益主体,同时又都具有不同程度的信息存储与加工利用的功能,所以在竞争同一信息资源,或在合作提供同一信息服务过程中,不同信息主体间会存在着动态的竞争与协作,这使得信息资源的开发利用具有了新的特征,如具有非线性、非局域性、非定常性等。为深入把握信息主体之间的关联机制,文中将信息主体视为相对独立的神经元,并利用人工神经网络中比较成熟的自组织竞争网络(SOCN)理论和自组织特征映射(SOFM)理论,来研究其竞争和协同的自组织机制,进而为在网格环境下对信息资源主体的协调管理提供借鉴。
Under the grid environment, the connection between different information agents is more prominent. Each information agent is a benefit entity, simultaneously has the functions of information storage and utilization, therefore different information agents will have the dynamic competition and the cooperation when they compete in the same information resource, or provide cooperatively the same information service. It makes the development and utili- zation of information resources have new characteristics, such as non - linearity, non - location, time - dependent, and so on. To find deeply out the connection mechanism of information agent, this paper looks on the information a- gent as a relatively independent neuron, and uses the mature Self - organization Competition Network （SOCN） and Self- organization Feature Maps （SOFM） of artificial nerve network theory to study its self-organization competitive and harmonious mechanism, and to provide references for managing information agents in the grid environment.
出处
《计算机仿真》
CSCD
2007年第7期125-129,共5页
Computer Simulation
基金
国家自然科学基金项目(70571032/G01)
关键词
网格环境
信息资源主体
竞争
协同
人工神经网络
Grid environment
Information agent
Competition
Cooperation
Artificial nerve network
