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All Outputs (3)

The evolution of sex through the Baldwin effect (2017)
Journal Article
Bull, L. (2017). The evolution of sex through the Baldwin effect. Artificial Life, 23(4), 481-492. https://doi.org/10.1162/ARTL_a_00242

This paper suggests that the fundamental haploid-diploid cycle of eukaryotic sex exploits a rudimentary form of the Baldwin effect. With this explanation for the basic cycle, the other associated phenomena can be explained as evolution tuning the amo... Read More about The evolution of sex through the Baldwin effect.

On Design Mining: Coevolution and Surrogate Models (2017)
Journal Article
Preen, R., & Bull, L. (2017). On Design Mining: Coevolution and Surrogate Models. Artificial Life, 23(2), 186-205. https://doi.org/10.1162/ARTL_a_00225

© 2017 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 3.0 Unported (CC BY 3.0) license. Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of ph... Read More about On Design Mining: Coevolution and Surrogate Models.

Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way (2017)
Presentation / Conference
Bull, L. (2017, April). Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way. Paper presented at 2017 AISB Convention, Bath, UK

This paper uses the recent idea that the fundamental haploid-diploid lifecycle of eukaryotic organisms implements a rudimentary form of learning within evolution. A general approach for evolutionary computation is here derived that differs from all p... Read More about Haploid-diploid evolutionary algorithms: The Baldwin effect and recombination nature’s way.