Abstract
This paper describes recent insights into the role of
implicit context within the representations of evolving
artifacts and specifically within the program
representation used by enzyme genetic programming.
Implicit context occurs within self-organising systems
where a component's connectivity is both determined
implicitly by its own definition and is specified in
terms of the behavioural context of other components.
This paper argues that implicit context is an important
source of evolvability and presents experimental
evidence that supports this assertion. In particular,
it introduces the notion of variation filtering,
suggesting that the use of implicit context within
representations leads to meaningful variation filtering
whereby inappropriate change is ignored and meaningful
change is encouraged during evolution.
Users
Please
log in to take part in the discussion (add own reviews or comments).