Emergent Dynamics in Heterogeneous Life-Like Cellular Automata

Aarati Shrestha, Felix Reimers, Sanyam Jain, Paolo Baldini, Michele Braccini, Andrea Roli, Stefano Nichele
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Abstract

The Game of Life (GoL), one well known 2D cellular automaton, does not typically ensure interesting long-term phenotypic dynamics. Therefore, while being Turing complete, GoL cannot be said to be open-ended. In this work, we extend GoL with the opportunity for local mutations, thus enabling a heterogeneous life-like cellular automaton guided by an evolutionary inner loop. Additionally, we introduce the concept of cell ageing to ensure that cell aliveness (activated by inheritance with variation, and controlled by ageing) and actual cell computation (governed by life-like rules on local neighborhoods) are kept conceptually separated. We conduct an experimental campaign to identify suitable parameters that produce long-term phenotypic dynamics and favor genotypic innovations.
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异构类生命细胞自动机中的新兴动力学
生命游戏(GoL)是一种众所周知的二维细胞自动机,它通常无法确保有趣的长期表型动态。因此,虽然图灵完备,但 GoL 不能说是开放式的。在这项工作中,我们利用局部突变的机会扩展了 GoL,从而实现了由进化内循环引导的异质生命类细胞自动机。此外,我们还引入了细胞老化的概念,以确保细胞能力(通过变异遗传激活,并由老化控制)和实际细胞计算(由局部邻域的类生命规则控制)在概念上保持分离。我们开展了一项实验运动,以确定能产生长期表型动力学并有利于基因型创新的合适参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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