Definitions for "Evolvability"
What we know and need today may be insufficient to solve tomorrow’s problems. We need to build a Framework that can easily evolve, without disrupting what already works. The principles of simplicity, modularity, compatibility, and extensibility should guide us
Evolvability is a recent framework of computational learning introduced by Leslie Valiant in his paper of the same name. The aim of this theory is to model biological evolution and categorize which types of mechanisms are evolvable. Evolution is an extension of PAC learning and learning from statistical queries.
the ease with which a system or component can be modified to take advantage of new software or hardware technologies.
Evolvability is a concept that relates to the ability of a particular genotype to evolve new adaptive changes. For instance, the class of mutator genotypes is sometimes selectively favoured relative to more conservative genotypes because its members can produce new mutations more quickly, and hence evolve faster. However, as organisms continue to adapt to stable environments, it is believed that mutator genotypes are selected against as they produce an increasing fraction of maladaptive progeny.