To apply a symbolic learning method to learning in a continuous representation space, the variables spanning the space need to be discretized. When the space is very large, a problem arises as to how to determine a ...

This paper describes briefly a method for applying AQ symbolic learning to problems of computer user modeling and intrusion detection. The method, called LUS (Learning User Signatures), learns models of users’ interaction ...

A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast to conventional Darwinian-type evolutionary ...