The genes of living organisms serve as large stores of information for replicating their behavior and morphology over generations. The evolutionary view of genetics that has inspired artificial systems with a Mendelian approach does not take into account the interaction between species and with the environment to generate a particular phenotype. In this paper, a genotype model is suggested to shape the relationship with the phenotype and the environment in an artificial system. A method to obtain a genotype from a population of a particular robotic system is also proposed. Finally, we show that this model presents a similar behavior to that of living organisms in what regards the concept of norm of reaction.This paper describes research don...
Given that selection removes genetic variance from evolving populations, thereby reducing exploratio...
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
Artificial evolution of physical systems is a stochastic optimization method in which physical machi...
The genes of living organisms serve as large stores of information for replicating their behavior an...
International audienceThe principle of natural selection implies that variations are transmitted fro...
The relationship between the genotype and phenotype of organisms plays a key role in the evolutionar...
AbstractIn the field of evolutionary robotics, choosing the correct genetic representation is a comp...
In this paper, we present an agent-based system to control a single robot’s behaviour. We present an...
To understand how evolving systems bring forth novel and useful phenotypes, it is essential to under...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
We developed a bio-inspired robot controller combining an artificial genome with an agent-based cont...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
The main objective in automatic robot controller development is to devise mechanisms whereby robot c...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
Artificial evolution of physical systems is a stochastic optimization method in which physical machi...
Given that selection removes genetic variance from evolving populations, thereby reducing exploratio...
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
Artificial evolution of physical systems is a stochastic optimization method in which physical machi...
The genes of living organisms serve as large stores of information for replicating their behavior an...
International audienceThe principle of natural selection implies that variations are transmitted fro...
The relationship between the genotype and phenotype of organisms plays a key role in the evolutionar...
AbstractIn the field of evolutionary robotics, choosing the correct genetic representation is a comp...
In this paper, we present an agent-based system to control a single robot’s behaviour. We present an...
To understand how evolving systems bring forth novel and useful phenotypes, it is essential to under...
Evolutionary robotics is a technique that aims to create controllers and sometimes morphologies for ...
We developed a bio-inspired robot controller combining an artificial genome with an agent-based cont...
This thesis investigates the use of Genetic Programming (GP) to evolve controllers for an autonomous...
The main objective in automatic robot controller development is to devise mechanisms whereby robot c...
Evolutionary robot systems are usually affected by the properties of the environment indirectly thro...
Artificial evolution of physical systems is a stochastic optimization method in which physical machi...
Given that selection removes genetic variance from evolving populations, thereby reducing exploratio...
The first part of this paper explores the general issues in using Artificial Life techniques to prog...
Artificial evolution of physical systems is a stochastic optimization method in which physical machi...