Evolutionary Progress in Heterogenous Cellular Automata (HetCA)

David Medernach, Jeannie Fitzgerald, Simon Carrignon, Conor Ryan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Although very controversial in the field of evolutionary biology, the notion of evolutionary progress is nevertheless generally accepted in the field of Artificial Life. In this article we adopt the definition proposed by Shanahan (2012) to study the existence of evolutionary progress in an evolutionary simulation which we call HetCA. HetCA is a heterogeneous cellular automata characterized by its ability to generate open ended long-term evolution. In this study, we measure evolutionary progress on three criteria: the robustness, size and density of generated genotypes. Our results demonstrate that the oldest genotypes in terms of evolutionary time are frequently the most robust, and that phenotypic density is higher for genotypes collected later in the evolutionary process.

Original languageEnglish
Title of host publicationProceedings of the 13th European Conference on Artificial Life, ECAL 2015
PublisherMIT Press Journals
Pages512-519
Number of pages8
ISBN (Electronic)9780262330275
DOIs
Publication statusPublished - 2015
Event13th European Conference on Artificial Life, ECAL 2015 - York, United Kingdom
Duration: 20 Jul 201524 Jul 2015

Publication series

NameProceedings of the 13th European Conference on Artificial Life, ECAL 2015

Conference

Conference13th European Conference on Artificial Life, ECAL 2015
Country/TerritoryUnited Kingdom
CityYork
Period20/07/1524/07/15

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