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How Not to Be a Black-Box: Evolution and Genetic-Engineering of High-Level Behaviours
Proceedings of the Genetic and Evolutionary Computation Conference, 2, стр. 1329--1335. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
Аннотация
In spite of many success stories in various domains,
Genetic Algorithm and Genetic Programming still suffer
from some significant pitfalls. Those evolved programs
often lack of some important properties such as
robustness, comprehensibility, transparency,
modifiability and usability of domain knowledge easily
available. We attempt to resolve these problems, at
least in evolving high-level behaviours, by adopting a
technique of conditions-and-behaviours originally used
for minimizing the learning space in reinforcement
learning. We experimentally validate the approach on a
foraging task.
