Game Playing: The Next Moves
Abstract
Computer programs now play many board games as well or better than the most expert humans. Human players, however, learn, plan, allocate resources, and integrate mul-tiple streams of knowledge. This paper highlights recent achievements in game playing, describes some cogni-tively-oriented work, and poses three related challenge problems for the AI community. Game Playing as a Domain Work on games has had several traditional justifications. Given unambiguous rules, playing a game to win is a well-defined problem. A game’s rules create artificial world states whose granularity is explicit. There is an ini-tial state, a state space with clear transitions, and a set of readily describable goal states. Without intervening in-
Cite
Text
Epstein. "Game Playing: The Next Moves." AAAI Conference on Artificial Intelligence, 1999.Markdown
[Epstein. "Game Playing: The Next Moves." AAAI Conference on Artificial Intelligence, 1999.](https://mlanthology.org/aaai/1999/epstein1999aaai-game/)BibTeX
@inproceedings{epstein1999aaai-game,
title = {{Game Playing: The Next Moves}},
author = {Epstein, Susan L.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1999},
pages = {987-993},
url = {https://mlanthology.org/aaai/1999/epstein1999aaai-game/}
}