Filtering with Logic Programs and Its Application to General Game Playing
Abstract
Motivated by the problem of building a basic reasoner for general game playing with imperfect information, we address the problem of filtering with logic programs, whereby an agent updates its incomplete knowledge of a program by observations. We develop a filtering method by adapting an existing backward-chaining and abduction method for so-called open logic programs. Experimental results show that this provides a basic effective and efficient "legal" player for general imperfect-information games.
Cite
Text
Thielscher. "Filtering with Logic Programs and Its Application to General Game Playing." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8595Markdown
[Thielscher. "Filtering with Logic Programs and Its Application to General Game Playing." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/thielscher2013aaai-filtering/) doi:10.1609/AAAI.V27I1.8595BibTeX
@inproceedings{thielscher2013aaai-filtering,
title = {{Filtering with Logic Programs and Its Application to General Game Playing}},
author = {Thielscher, Michael},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2013},
pages = {890-896},
doi = {10.1609/AAAI.V27I1.8595},
url = {https://mlanthology.org/aaai/2013/thielscher2013aaai-filtering/}
}