Proceedings of the Artificial Life Conference 2016 2016
DOI: 10.7551/978-0-262-33936-0-ch041
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Evolution of Heterogeneous Cellular Automata in Fluctuating Environments

Abstract: The importance of environmental fluctuations in the evolution of living organisms by natural selection has been widely noted by biologists and linked to many important characteristics of life such as modularity, plasticity, genotype size, mutation rate, learning, or epigenetic adaptations. In artificial-life simulations, however, environmental fluctuations are usually seen as a nuisance rather than an essential characteristic of evolution. HetCA is a heterogeneous cellular automata characterized by its ability… Show more

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Cited by 1 publication
(4 citation statements)
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“…As described by Medernach et al (2013), HetCA is designed as a heterogenous cellular automata, using several cell categories: Living cells, decay cells and quiescent cells. Every living cell has, in addition to its state, a genotype that determines its transition rules.…”
Section: Evolutionary Computation and Open Ended Simulationsmentioning
confidence: 99%
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“…As described by Medernach et al (2013), HetCA is designed as a heterogenous cellular automata, using several cell categories: Living cells, decay cells and quiescent cells. Every living cell has, in addition to its state, a genotype that determines its transition rules.…”
Section: Evolutionary Computation and Open Ended Simulationsmentioning
confidence: 99%
“…The possible genotypes of an individual are its transition rules encoded with CA-LGP using the function set depicted in Table 2. Mutation of genotypes is enabled and we use the Micro/Marco-mutation of CA-LGP described in Medernach et al (2013). For each simulation we saved the most common genotype (most frequently occurring) in iterations 5, 1000, 5000, 50000, 300000 and 500000.…”
Section: Collection Of Genotypesmentioning
confidence: 99%
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