The book develops a unifying perspective on how learning influences evolutionary dynamics which for the first time explains seemingly contradicting results from the literature. It also reveals formerly unknown facets of the complex interplay of the two major biological adaptation mechanisms. The results apply to models from computational intelligence and evolutionary biology alike, thus contribute to the transfer of principles of biological adaptation to digital processing system
The paper discusses the influence of learning on evolutionary processes. In biological sciences it i...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
The book develops a unifying perspective on how learning influences evolutionary dynamics which for ...
It has been reported recently that learning has a beneficial effect on evolution even if the learnin...
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...
In this report we present the results of a series of simulations in which neural networks undergo ch...
A longstanding challenge in artificial intelligence is to create agents that learn, enabling them to...
The interaction between phenotypic plasticity, e.g. learning, and evolution is an important topic bo...
We review several models that deal with the interaction of the genetic and behavioral systems throug...
The impact of learning on evolution has been subject to significant debate and analysis for over a c...
The theory of evolution links random variation and selection to incremental adaptation. In a differe...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic varia...
The paper discusses the influence of learning on evolutionary processes. In biological sciences it i...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
The book develops a unifying perspective on how learning influences evolutionary dynamics which for ...
It has been reported recently that learning has a beneficial effect on evolution even if the learnin...
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...
In this report we present the results of a series of simulations in which neural networks undergo ch...
A longstanding challenge in artificial intelligence is to create agents that learn, enabling them to...
The interaction between phenotypic plasticity, e.g. learning, and evolution is an important topic bo...
We review several models that deal with the interaction of the genetic and behavioral systems throug...
The impact of learning on evolution has been subject to significant debate and analysis for over a c...
The theory of evolution links random variation and selection to incremental adaptation. In a differe...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic varia...
The paper discusses the influence of learning on evolutionary processes. In biological sciences it i...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...
Learning and evolution are adaptive or “backward-looking” models of social and biological systems. L...