General Statistical Approaches to Procedural Map Generation
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4028-4028.
Abstract
Procedural content generation (PCG) studies the algorithmic creation of content (e.g., textures, maps), typically for games. PCG has become a popular research topic in recent years, but little has been done in terms of generalized content generators: approaches that can generate content for a variety of games without hand-tuning. We are interested in exploring statistical algorithms that could lead to generalized procedural map generators.
Sam Snodgrass. 2016. General Statistical Approaches to Procedural Map Generation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 4028–4028. https://ijcai.org/proceedings/2016/588
Snodgrass, S. (2016). General Statistical Approaches to Procedural Map Generation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 (pp. 4028–4028). IJCAI. https://ijcai.org/proceedings/2016/588
@inproceedings{ijcai2016p588,
title = {General Statistical Approaches to Procedural Map Generation},
author = {Snodgrass, Sam},
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 = {4028--4028},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/588},
}
TY - CPAPER TI - General Statistical Approaches to Procedural Map Generation AU - Snodgrass, Sam 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 - 4028 EP - 4028 UR - https://ijcai.org/proceedings/2016/588 ER -Copied
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