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.V27I1.8595

Markdown

[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.V27I1.8595

BibTeX

@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/}
}