Integrating ILP and EBL

Abstract

This paper presents a review of recent work that integrates methods from Inductive Logic Programming (ILP) and Explanation-Based Learning (EBL). ILP and EBL methods have complementary strengths and weaknesses and a number of recent projects have effectively combined them into systems with better performance than either of the individual approaches. In particular, integrated systems have been developed for guiding induction with prior knowledge (ML-Smart, FOCL, GREN-DEL) refining imperfect domain theories (FORTE, AUDREY, Rx), and learning effective search-control knowledge (AxA-EBL, DOLPHIN).

Adaptive Traders for Communication in Cooperative Rooms

“…To this end, Inductive Logic Programming (ILP) 26,27 needs to be researched. ILP offers the possibility to include more information about the concept of the environment in the learning process.…”