Advice Language

Back in 1990, since my goal back then was to develop a chess playing computer algorithm using prolog, as part of my research, I stumbled into Max Bramer’s book Computer Game Playing: Theory and Practice.  In that book there was a chapter by Ivan Bratko called Knowledge-based problem-solving in AL3, which according to the book the article appeared in Machine Intelligence 10.  In summary the AL3 system was basically a production system for chess problem using the Donald Michie Advice Language concept and utilizing Bratko’s IF condition THEN action rule concept.  At that moment of time, many of the concepts presented in the paper were foreign to me, and unbeknownst to me, many of the ideas are presented in Bratko’s AI book (1990).

Progress Report – May 2009

This month I submitted my paper A Brute Force Approach to Solving the Knight’s Tour using Prolog to the ICAI ‘09 conference, located at the Monte Carlo in Las Vegas, Nevada.  According to the conference chair, the conference acceptance rate was 27 percent.  This conference is in conflict the IJCAI conference in Pasadena, California.

Nevertheless, besides my research paper, much of my activity this month has been around logic programming and inductive logic programming (ILP).  I ordered from Amazon several books recently around this area, in particular The Art of Prolog and Inductive Logic Programming: From Machine Learning to Software Engineering.  The Art of Prolog has a gentle introduction to logic programming – it is very clear and instructive.  From this book I was able to understand early articles in Logic Programming.