{"type":"ScholarlyArticle","title":"General Statistical Approaches to Procedural Map Generation","authors":[{"name":"Sam Snodgrass","slug":"sam-snodgrass","given":"Sam","family":"Snodgrass","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2016/588","pdf":"https://ijcai.org/proceedings/2016/0588.pdf","markdown":"https://ijcai.org/proceedings/2016/588.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/588","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":588,"pages":{"first":4028,"last":4028},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}