基于人工生命种群的人工生态系统演变研究

摘要/Abstract

摘要：

运用人工生命技术探索生态系统演变的规律，提出了人工生命种群的当量模型；建立了一个基于人工生命种群的人工生态系统，从底层到最顶层依次为模拟气候、人工生态环境、人工植物种群、食草人工动物种群、食肉人工动物种群。开展了人工生态系统演变实验。实验发现，平衡态人工生态系统存在收窄现象，但从不越界，只要模拟气候不低于其临界值，人工生态系统就将继续处于平衡态；但任一生态层在某时刻起低于其临界值将使人工生态系统从该时刻起处于失衡态，失衡态是不可逆的，除非外界足量补缺。基于人工生命种群的人工生态系统演变研究弥补了现有生态系统演变研究存在的缺陷，研究结果揭示了生态系统演变的规律，因此它是研究生态系统演变的科学方法。

关键词: 人工生命种群, 人工生态系统, 临界值, 平衡态, 失衡态

Abstract:

To find the principles of ecosystem evolution through artificial life technology,an artificial life population equivalent model is proposed.An artificial ecosystem based on artificial life population is created. The artificial ecosystem includes simulated climate,artificial ecological environment, artificial plant population,artificial herbivore population and artificial carnivore population from the bottom layer to the top layer.A large number of artificial ecosystem evolution experiments are conducted.The experimental results demonstrate that the time of maximum value turns short from the bottom layer to the top layer when the artificial ecosystem is balanced,but the value of per layer is not beyond the maximum value and less than the critical value.In balanced conditions,the artificial ecosystem keeps balanced if the simulated climate is higher than the critical value, and the artificial ecosystem does not keep balanced any more when any layer is under the critical value in any moment. In unbalanced conditions, the artificial ecosystem is irreversible except that the shortage of values is added to the critical value from the outside of the artificial ecosystem.The artificial ecosystem evolution research based on artificial life population corrects the flaw of the former ecosystem evolution research and finds the principles of ecosystem evolution,so it is a scientific approach to ecosystem evolution research.

Key words: artificial life population;artificial ecosystem;critical value;balanced condition;unbalanced condition

冯康. 基于人工生命种群的人工生态系统演变研究[J]. J4, 2014, 36(11): 2174-2185.

FENG Kang. Research on artificial ecosystem evolution
based on artificial life population [J]. J4, 2014, 36(11): 2174-2185.

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