基于人工生命的类生态进化模型

简要介绍了复杂系统的背景、定义及人工生命仿真思想，指出人工生命仿真是解决复杂系统的有效途径。自然界生态系统是典型的复杂自适应系统(CAS)，传统的统计学方法无法有效解析生态系统。由此提出了一个基于人工生命思想的类生态仿真模型A—ECOLOGY，在一个虚拟环境中创造两种虚拟生物Grazer和Predator，构成捕食者和被捕食者竞争关系，着重考察Grazer生物在自然选择压力下适应和进化的过程。这种通过人工生命仿真方法对系统复杂性模拟的思想，对于研究群体自适应和进化具有一定的参照意义。

Ecology Evolution Model Based on Artifical Life

This paper briefly introduces the background and concept of the complex system and artifical life stimulated idea, which is an effective approach for solving complex systems. Ecology system in the nature is a typical complex adaptive system( CAS) , which can not be completely explained by tranditional statistics. Therefore we propose a new ecology evolution model based on artifical life, A - ECOLOGY. In the artifical environment, we dream up two suppositional life -forms, viz Grazer and Predator, which form a relationship between catcher and catchee. The model focuses on the progess of Grazers' self - adaption and evolution under the selection of the nature. This idea imples that system complexity can be acquired by artifical life method and will have some reference to studies in creature' s self - adaption and evolution.