An Empirical Comparison of Code Size Limit in Auto-Constructive Artificial Life

2006 IEEE Conference on Cybernetics and Intelligent Systems Pub Date : 2006-06-07 DOI:10.1109/ICCIS.2006.252308

Aba. Rahim, J. Teo, A. Saudi

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引用次数: 2

Abstract

This paper presents an evolving swarm system of flying agents simulated as a collective intelligence within the Breve auto-constructive artificial life environment. The behavior of each agent is governed by genetically evolved program codes expressed in the Push programming language. There are two objectives in this paper, that is to investigate the effects of firstly code size limit and secondly two different versions of the Push genetic programming language on the auto-constructive evolution of artificial life. We investigated these genetic programming code elements on reproductive competence using a measure based on the self-sustainability of the population. Self-sustainability is the point in time when the current population's agents are able to reproduce enough offspring to maintain the minimum population size without any new agents being randomly injected from the system. From the results, we found that the Push2 implementation showed slightly better evolvability than Push3 in terms of achieving self-sufficiency. In terms of code size limit, the reproductive competence of the collective swarm was affected quite significantly at certain parameter settings

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自构造人工生命中代码大小限制的实证比较

本文提出了一种进化的飞行体群系统，模拟了在短时间自动构建人工生命环境中的集体智能。每个代理的行为由Push编程语言中表达的遗传进化的程序代码控制。本文有两个目的，一是研究代码大小限制，二是研究两种不同版本的Push遗传编程语言对人工生命自构造进化的影响。我们使用基于种群自我可持续性的测量来研究这些遗传编程代码元素对生殖能力的影响。自我可持续性是指当前种群的个体能够繁殖足够的后代以维持最小的种群规模，而不需要从系统中随机注入任何新的个体。从结果来看，我们发现在实现自给自足方面，Push2的实现表现出比Push3稍好的可发展性。在代码大小限制方面，在一定的参数设置下，群体的繁殖能力受到相当显著的影响

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2006 IEEE Conference on Cybernetics and Intelligent Systems

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