{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:44:13Z","timestamp":1729665853032,"version":"3.28.0"},"reference-count":13,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/cig.2018.8490363","type":"proceedings-article","created":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T23:37:41Z","timestamp":1539646661000},"page":"1-8","source":"Crossref","is-referenced-by-count":13,"title":["Monster Carlo: An MCTS-based Framework for Machine Playtesting Unity Games"],"prefix":"10.1109","author":[{"given":"Oleksandra","family":"Keehl","sequence":"first","affiliation":[]},{"given":"Adam M.","family":"Smith","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2013.6633610"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/978-3-540-87608-3_6","article-title":"Parallel monte-carlo tree search","author":"chaslot","year":"2008","journal-title":"Proceedings of the Conference on Computers and Games"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1609\/aiide.v7i3.12479","article-title":"Game metrics without players: Strategies for understanding game artifacts","author":"nelson","year":"2011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2017.8080427"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITW.2010.5593368"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref6","first-page":"1","article-title":"Automated playtesting with procedural personas with evolved heuristics","author":"holmgrd","year":"2018"},{"key":"ref5","article-title":"Monte-carlo tree search for simulation-based strategy analysis","author":"zook","year":"2015","journal-title":"Proceedings of the 10th Conference on the Foundations of Digital Games"},{"key":"ref8","article-title":"Playing tetris using bandit-based monte-carlo planning","author":"zhongjie","year":"2011","journal-title":"AISB 2011 AI and Games"},{"key":"ref7","article-title":"Achieving master level play in 9 × 9 computer go","author":"gelly","year":"2008","journal-title":"Proc AAAI Conf Artificial Intelligence"},{"article-title":"Starcraft ll replay analysis with jupyter notebooks","year":"0","author":"martinelli","key":"ref2"},{"key":"ref1","first-page":"26","article-title":"Evaluating competitive game balance with restricted play","author":"jaffe","year":"2012","journal-title":"Proc AAAI Conf Artif Intell Interactive Digit Entertain"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1038\/nature24270","article-title":"Mastering the game of go without human knowledge","volume":"550","author":"silver","year":"2017","journal-title":"Nature"}],"event":{"name":"2018 IEEE Conference on Computational Intelligence and Games (CIG)","start":{"date-parts":[[2018,8,14]]},"location":"Maastricht","end":{"date-parts":[[2018,8,17]]}},"container-title":["2018 IEEE Conference on Computational Intelligence and Games (CIG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8473398\/8490359\/08490363.pdf?arnumber=8490363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T20:51:24Z","timestamp":1693947084000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8490363\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/cig.2018.8490363","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}