信息生态系统的多主体(Agent)交互模型

从生态学原理出发，提倡信息生态，将信息社会纳入可持续发展的轨道意义重大。本文将企业、地区等信息实体抽象为信息主体，定义了反映信息主体在不同领域内的知识水平指数，以及信息交流和自学创新对指数的影响，对信息生态系统建立了基于多主体(Agent)的信息交互模型，“自底向上”对主体信息行为、系统信息多样性、系统信息分化、自学创新的作用等问题进行模拟研究。研究结果表明，在信息社会中，若仅仅依靠信息交流，随着时间的演进，信息的差异性下降；系统知识水平的增长率减缓，最终将趋于停滞。结果还显示信息优势群体和弱势群体在信息是交流还是共享的不同情况下，其相对信息优势基本不变，弱势群体要改变上述情况，必需知识更新和提高自身的知识创新能力。本研究为建立系统化的信息生态科学体系做了铺垫。

A multi-agent alternating model of the information ecology system

It is important to advocate information ecology,based on the principle of ecology,and make the information society sustain-able development.In this paper the information entities such as enterprises and regions are abstracted as information agents.Theknowledge index is defined to represent the agents'knowledge in various area and the information sharing and self-studing are also de-fined.Then a muhi-agent information alternating model is established.The simulation study of the model is carried out to analyze the a-gent behavior,the information diversity,information differentiation and innovation.Simulation results show that,if only based on infor-mation communication,the differences among different agents will reduce and the knowledge gain capability of the system will slowgradually and stop finally with the time going.The relative information predominance of the predominant and puny colony is unaltered inthe situation of information communication and sharing.For changing the above situation the knowledge renovation and innovation areneeded for the puny colony.The study in this paper is useful for systematic information ecology science.