Inproceedings,
Search Bias, Language Bias, and Genetic Programming
Genetic Programming 1996: Proceedings of the First Annual Conference, page 230--237. Stanford University, CA, USA, MIT Press, (28--31 July 1996)
Abstract
The use of bias with automated learning systems has
become an important area of research. The use of bias
with evolutionary techniques of learning has been shown
to have advantages when complex structures are evolved.
This is especially true when the semantics of the
evolving population of structures is not explicitly
represented or analysed during the evolution. This
paper describes a framework which brings together two
types of bias, namely search bias (the way new
structures are created) and language bias (the form of
possible structures that may be created). The resulting
system extends genetic programming by allowing
declarative bias with both the form of possible
solutions that are created and the method by which they
are transformed.
