by Edelkamp, Stefan and Kissmann, Peter
Abstract:
This work is concerned with our general game playing agent 'Gamer'. In contrast to many other players, we do not only use a Prolog-like mechanism to infer knowledge about the current state and the available moves but instantiate the games to reduce the inference time in parallel UCT game tree search. Furthermore, we use the generated output to try to solve the games using symbolic search methods and thus play optimally.
Reference:
Edelkamp, Stefan and Kissmann, Peter, "Gamer, a General Game Playing Agent", In KI - Künstliche Intelligenz, vol. 25, no. 1, pp. 49–52, 2011.
Bibtex Entry:
@ARTICLE{Edelkamp2011,
author = {Edelkamp, Stefan and Kissmann, Peter},
title = {Gamer, a General Game Playing Agent},
journal = {KI - K{\"u}nstliche Intelligenz},
year = {2011},
volume = {25},
pages = {49--52},
number = {1},
abstract = {This work is concerned with our general game playing agent 'Gamer'.
In contrast to many other players, we do not only use a Prolog-like
mechanism to infer knowledge about the current state and the available
moves but instantiate the games to reduce the inference time in parallel
UCT game tree search. Furthermore, we use the generated output to
try to solve the games using symbolic search methods and thus play
optimally.},
doi = {10.1007/s13218-010-0078-3},
owner = {pmania},
timestamp = {2012.11.06}
}