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Melamed, D., Nov, Y., Malik, A., Yakass, M. B., Bolotin, E., Shemer, R., Hiadzi, E. K., Skorecki, K. L. and Livnat, A. De novo mutation rates at the single-mutation resolution in a human HBB gene-region associated with adaptation and genetic disease Genome Research, In press.
Interaction-based evolution and mixability theory:
Livnat, A. Interaction-based evolution: How natural selection and nonrandom mutation work together. Biology Direct, 8:24, 2013.
Livnat, A. Simplification, innateness, and the absorption of meaning from context: How novelty arises from gradual network evolution. Evolutionary Biology, 44:145-89, 2017.
Livnat, A., Papadimitriou, C., Dushoff, J. and Feldman, M. W. A mixability theory for the role of sex in evolution. Proceedings of the National Academy of Sciences, USA, 105:19803-808, 2008.
Livnat, A., Papadimitriou, C., Pippenger, N. and Feldman, M. W. Sex, mixability, and modularity. Proceedings of the National Academy of Sciences, USA, 107:1452-7, 2010.
Chastain, E., Livnat, A., Papadimitriou, C., and Vazirani, U. Algorithms, games and evolution. Proceedings of the National Academy of Sciences, USA 111:10620-23, 2014.
Livnat, A. and Papadimitriou, C. Sex as an Algorithm: The Theory of Evolution Under the Lens of Computation. Communications of the ACM, 59(11):84-93, 2016.
Livnat, A. and Papadimitriou, C. Evolution and learning: Used together, fused together: A response to Watson and Szathmary. Trends in Ecology and Evolution, 31:894-96, 2016.
Vasylenko, L., Feldman, M. W. , Papadimitriou, C. and Livnat, A. Sex: The power of randomization. Theoretical Population Biology, 129:41-53, 2019.
Other selected publications in evolutionary theory and at the interface of evolution and computation:
Livnat, A. and Pippenger, N. An optimal brain can be composed of conflicting agents. Proceedings of the National Academy of Sciences USA,103:3198-202, 2006.
Livnat, A., Pacala, S. W. and Levin, S. A. The evolution of intergenerational discounting in offspring quality. The American Naturalist, 165:311-21, 2005
Livnat, A. and Pippenger, N. Systematic mistakes are likely in bounded optimal decision-making systems. Journal of Theoretical Biology, 250:410-23, 2008.
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