{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/endgame-analysis-of-dou-shou-qi","title":"Endgame Analysis of Dou Shou Qi","arxiv_id":"1604.07312","date":"2016-04-25","proceeding":null,"authors":["Jan N. van Rijn","Jonathan K. Vis"],"abstract":"Dou Shou Qi is a game in which two players control a number of pieces, each\nof them aiming to move one of their pieces onto a given square. We implemented\nan engine for analyzing the game. Moreover, we created a series of endgame\ntablebases containing all configurations with up to four pieces. These\ntablebases are the first steps towards theoretically solving the game. Finally,\nwe constructed decision trees based on the endgame tablebases. In this note we\nreport on some interesting patterns.","url_abs":"http://arxiv.org/abs/1604.07312v1","url_pdf":"http://arxiv.org/pdf/1604.07312v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"uci-machine-learning-repository","name":"UCI Machine Learning Repository","full_name":null},{"slug":"wine","name":"Wine","full_name":"Wine Data Set"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1604.07312","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}