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/}
}