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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th American Association for Artificial Intelligence Conference on Artificial Intelligence (AAAI-13) and the 25th Innovative Applications of Artificial Intelligence Conference (IAAI-13), 14-18 July 2013, Bellevue, Wash., U.S. |
| Publisher | AAAI Press |
| Pages | 890-896 |
| Number of pages | 7 |
| ISBN (Print) | 9781577356158 |
| Publication status | Published - 2013 |
| Event | AAAI Conference on Artificial Intelligence - Duration: 14 Jul 2013 → … |
Conference
| Conference | AAAI Conference on Artificial Intelligence |
|---|---|
| Period | 14/07/13 → … |
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