Artificial Development is a field of Evolutionary Computation inspired by the developmental processes and cellular growth seen in nature. Multiple models of artificial development have been proposed in the past, which can be broadly divided into those based on biochemical processes and those based on a high level grammar. Two of the most important aspects to consider when designing a cellular growth model are the type of representation used to specify the final features of the system, and the abstraction level necessary to capture the properties to be modeled. Although advances in this field have been significant, there is much knowledge to be gained before a model that approaches the level of complexity found in living organisms can be bui...
Man-made systems, such as supercomputers and software, IT-infrastructures and networks of any kind, ...
There is a long tradition of software simulations in theoretical biology to complement pure analytic...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
Artificial Development is a field of Evolutionary Computation inspired by the developmental processe...
Developmental biology seeks to understand how organisms are constructed. Development is a set of ver...
Artificial Embryogeny (AE) can be described as the use of a dynamical system as a mid-step in a desi...
Artificial Embryogeny (AE) can be described as the use of a dynamical system as a mid-step in a desi...
Artificial Cells, , Artificial Ecologies, Artificial Intelligence, Bio-Inspired Hardware Systems, C...
Summary. Exploding growth in computational systems forces us to gradually re-place rigid design and ...
Abstract A major challenge for evolutionary computation is to evolve phenotypes such as neural netwo...
Nature has demonstrated the capability to evolve high performance systems. In natural evolution, gen...
none1noCellular automata are models that deal with both nature and artefacts: they can indeed simula...
Understanding the behaviour of biological systems is a challenging task. Gene regulation, developmen...
International audienceThis paper presents a new model for the development of artificial creatures fr...
Evolutionary algorithms (EAs) are a class of population-based stochastic search algorithms which hav...
Man-made systems, such as supercomputers and software, IT-infrastructures and networks of any kind, ...
There is a long tradition of software simulations in theoretical biology to complement pure analytic...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...
Artificial Development is a field of Evolutionary Computation inspired by the developmental processe...
Developmental biology seeks to understand how organisms are constructed. Development is a set of ver...
Artificial Embryogeny (AE) can be described as the use of a dynamical system as a mid-step in a desi...
Artificial Embryogeny (AE) can be described as the use of a dynamical system as a mid-step in a desi...
Artificial Cells, , Artificial Ecologies, Artificial Intelligence, Bio-Inspired Hardware Systems, C...
Summary. Exploding growth in computational systems forces us to gradually re-place rigid design and ...
Abstract A major challenge for evolutionary computation is to evolve phenotypes such as neural netwo...
Nature has demonstrated the capability to evolve high performance systems. In natural evolution, gen...
none1noCellular automata are models that deal with both nature and artefacts: they can indeed simula...
Understanding the behaviour of biological systems is a challenging task. Gene regulation, developmen...
International audienceThis paper presents a new model for the development of artificial creatures fr...
Evolutionary algorithms (EAs) are a class of population-based stochastic search algorithms which hav...
Man-made systems, such as supercomputers and software, IT-infrastructures and networks of any kind, ...
There is a long tradition of software simulations in theoretical biology to complement pure analytic...
The project studies the evolution of some digital organisms in a simple world whose rules they learn...