We interpret the Moran model of natural selection and drift as an algorithm for learning features of a simplified fitness landscape, specifically genotype superiority. This algorithm's efficiency in extracting these characteristics is evaluated by comparing it to a novel Bayesian learning algorithm developed using information-theoretic tools. This algorithm makes use of a communication channel analogy between an environment and an evolving population. We use the associated channel-rate to determine an informative population-sampling procedure. We find that the algorithm can identify genotype superiority faster than the Moran model but at the cost of larger fluctuations in uncertainty
The theory of evolution links random variation and selection to incremental adaptation. In a differe...
The interaction between phenotypic plasticity, e.g. learning, and evolution is an important topic bo...
Evolution is the common theme linking everything in biology from individual alleles to languages. Da...
Inspired by Darwin’s ideas, Turing (1948) proposed an evolutionary search as an automated problem so...
Any process can be seen as an algorithm; its power and its limits can then be analysed with the tech...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
The ability to learn from past experience is an important adaptation, but how natural selection shap...
The vital essence of evolutionary learning consists of information flows between the environment and...
The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of ind...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
Motivation: Directed evolution, in addition to its principal application of obtaining novel biomolec...
This thesis provides a framework for describing a canonical evolutionary system. Populations of indi...
AbstractEvolutionary theory states that stronger genetic characteristics reflect the organism’s abil...
The ability to learn from past experience is an important adaptation, but how natural selection shap...
Abstract. Darwin’s theory of evolution is considered to be one of the greatest scientific gems in mo...
The theory of evolution links random variation and selection to incremental adaptation. In a differe...
The interaction between phenotypic plasticity, e.g. learning, and evolution is an important topic bo...
Evolution is the common theme linking everything in biology from individual alleles to languages. Da...
Inspired by Darwin’s ideas, Turing (1948) proposed an evolutionary search as an automated problem so...
Any process can be seen as an algorithm; its power and its limits can then be analysed with the tech...
Neo-Darwinism can be usefully studied with the help of a Computerised Genetic Algorithm. Only a math...
The ability to learn from past experience is an important adaptation, but how natural selection shap...
The vital essence of evolutionary learning consists of information flows between the environment and...
The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of ind...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
Motivation: Directed evolution, in addition to its principal application of obtaining novel biomolec...
This thesis provides a framework for describing a canonical evolutionary system. Populations of indi...
AbstractEvolutionary theory states that stronger genetic characteristics reflect the organism’s abil...
The ability to learn from past experience is an important adaptation, but how natural selection shap...
Abstract. Darwin’s theory of evolution is considered to be one of the greatest scientific gems in mo...
The theory of evolution links random variation and selection to incremental adaptation. In a differe...
The interaction between phenotypic plasticity, e.g. learning, and evolution is an important topic bo...
Evolution is the common theme linking everything in biology from individual alleles to languages. Da...