Implementing Search Heuristics Using the AL1 Advice-Taking System
Abstract
The AL1 System (Advice Language 1) was developed as a vehicle for conveying expert knowledge, or advice, to a problem solver. Using chess end-games as an experimental problem domain, this paper concentrates on the question: How to implement chess heuristics using the mechanisms of AL1? The spirit of advice programming as a sort of tree-search engineering is illustrated by developing an AL1 piece-of-advice for solving an example problem from the king-knight vs. king-rook chess ending. Experiments indicate that an advice program for this ending, based on comparatively simple concepts, and the human chess master perform comparably.
Cite
Text
Bratko. "Implementing Search Heuristics Using the AL1 Advice-Taking System." International Joint Conference on Artificial Intelligence, 1979.Markdown
[Bratko. "Implementing Search Heuristics Using the AL1 Advice-Taking System." International Joint Conference on Artificial Intelligence, 1979.](https://mlanthology.org/ijcai/1979/bratko1979ijcai-implementing/)BibTeX
@inproceedings{bratko1979ijcai-implementing,
title = {{Implementing Search Heuristics Using the AL1 Advice-Taking System}},
author = {Bratko, Ivan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1979},
pages = {95-97},
url = {https://mlanthology.org/ijcai/1979/bratko1979ijcai-implementing/}
}