Computer-Aided Game Design: Doctoral Consortium Research Abstract
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3998-3998.
Abstract
Artificial intelligence can model and predict how humans will react to game systems. Using models of human-like imperfect play, one can estimate how quantitative changes to a game will impact a player's qualitative experience. I discuss my research to use artificial intelligence to automatically play, analyze, and design certain classes of games. Not only does it generate new content quickly and effectively, this research also provides some insights into why humans find some games more difficult than others, and how player skill measurably improves over time.
@inproceedings{ijcai2016p573,
title = {Computer-Aided Game Design: Doctoral Consortium Research Abstract},
author = {Isaksen, Aaron},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {3998--3998},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/573},
}
TY - CPAPER TI - Computer-Aided Game Design: Doctoral Consortium Research Abstract AU - Isaksen, Aaron T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 3998 EP - 3998 UR - https://ijcai.org/proceedings/2016/573 ER -Copied
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