DOLPHIN

DOLPHIN is a system which combines Inductive Logic Programming (i.e. FOIL) and Explanation-Based Learning (i.e. EBG) to learn search-control rules for eliminating backtracking in Prolog programs.

The DOLPHIN Prolog code is available via anonymous ftp. See the README file here for details. Pointers to papers on DOLPHIN can be found on our Speedup-learning research page. Below is the standard reference (click on the open book image).

Combining FOIL and EBG to Speed-Up Logic Programs
John M. Zelle and Raymond J. Mooney
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pp. 1106-111, Chambery, France, 1993. (IJCAI-93)

This paper presents an algorithm that combines traditional EBL techniques and recent developments in inductive logic programming to learn effective clause selection rules for Prolog programs. When these control rules are incorporated into the original program, significant speed-up may be achieved. The algorithm is shown to be an improvement over competing EBL approaches in several domains. Additionally, the algorithm is capable of automatically transforming some intractable algorithms into ones that run in polynomial time.

estlin@cs.utexas.edu