Lipson et al. (2002) presented an elegant linear algebraic formalism to define and study the evolution of modularity in an artificial evolving system. They employed simulation data to support their suggestion that modularity arises spontaneously in temporally fluctuating systems in response to selection for enhanced evolvability. We show analytically and by simulation that their correlate of modularity is itself under selection and so is not a reliable indicator of selection for modularity per se. In addition, we question the relation between modularity and evolvability in their simulations, suggesting that this modularity cannot confer enhanced evolvability
This dissertation clarifies the concept of evolvability, the increased capacity of some organisms or...
‘Evolvability’ – the ability to undergo adaptive evolution – is a key concept for understanding and ...
Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolva...
Lipson et al. (2002) presented an elegant linear algebraic formalism to define and study the evoluti...
Evolution’s ability to find innovative phenotypes is an important ingredient in the emergence of com...
This special issue focuses on two emergent properties of artificial evolutionary sys-tems: evolvabil...
International audienceA central biological question is how natural organisms are so evolvable (capab...
A central biological question is how natural organisms are so evolvable (capable of quickly adapting...
SYNOPSIS. The fact that phenotypic evolution can be studied on a char-acter by character basis sugge...
Modularity is a central concept in modern biology, providing a powerful framework for the study of l...
Biological systems often display modularity, in the sense that they can be decomposed into nearly in...
Evolutionary computation systems exhibit various emergent phenomena, primary of which is adaptation....
Simon’s characterisation of modularity in dynamical systems describes subsystems as having dynamics ...
Many believe that an essential component for the discovery of the tremendous diversity in natural or...
It is hypothesised that one of the main reasons evolution has produced such a tremendous diversity o...
This dissertation clarifies the concept of evolvability, the increased capacity of some organisms or...
‘Evolvability’ – the ability to undergo adaptive evolution – is a key concept for understanding and ...
Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolva...
Lipson et al. (2002) presented an elegant linear algebraic formalism to define and study the evoluti...
Evolution’s ability to find innovative phenotypes is an important ingredient in the emergence of com...
This special issue focuses on two emergent properties of artificial evolutionary sys-tems: evolvabil...
International audienceA central biological question is how natural organisms are so evolvable (capab...
A central biological question is how natural organisms are so evolvable (capable of quickly adapting...
SYNOPSIS. The fact that phenotypic evolution can be studied on a char-acter by character basis sugge...
Modularity is a central concept in modern biology, providing a powerful framework for the study of l...
Biological systems often display modularity, in the sense that they can be decomposed into nearly in...
Evolutionary computation systems exhibit various emergent phenomena, primary of which is adaptation....
Simon’s characterisation of modularity in dynamical systems describes subsystems as having dynamics ...
Many believe that an essential component for the discovery of the tremendous diversity in natural or...
It is hypothesised that one of the main reasons evolution has produced such a tremendous diversity o...
This dissertation clarifies the concept of evolvability, the increased capacity of some organisms or...
‘Evolvability’ – the ability to undergo adaptive evolution – is a key concept for understanding and ...
Evolvability is the capacity to evolve. This paper introduces a simple computational model of evolva...