Computing Rational Decisions in Extensive Games with Limited Foresight
Abstract
We introduce a class of extensive form games whereplayers might not be able to foresee the possible consequences of their decisions and form a model of theiropponents which they exploit to achieve a more profitable outcome. We improve upon existing models ofgames with limited foresight, endowing players with theability of higher order reasoning and proposing a novelsolution concept to address intuitions coming from realgame play. We analyse the resulting equilibria, devisingan effective procedure to compute them.
Cite
Text
Turrini. "Computing Rational Decisions in Extensive Games with Limited Foresight." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.10015Markdown
[Turrini. "Computing Rational Decisions in Extensive Games with Limited Foresight." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/turrini2016aaai-computing/) doi:10.1609/AAAI.V30I1.10015BibTeX
@inproceedings{turrini2016aaai-computing,
title = {{Computing Rational Decisions in Extensive Games with Limited Foresight}},
author = {Turrini, Paolo},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2016},
pages = {630-636},
doi = {10.1609/AAAI.V30I1.10015},
url = {https://mlanthology.org/aaai/2016/turrini2016aaai-computing/}
}