{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T06:47:47Z","timestamp":1772261267541,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,17]]},"DOI":"10.1109\/cog52621.2021.9619032","type":"proceedings-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:53:06Z","timestamp":1638910386000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Toward Automated Game Balance: A Systematic Engineering Design Approach"],"prefix":"10.1109","author":[{"given":"Daniel A.","family":"DeLaurentis","sequence":"first","affiliation":[]},{"given":"Jitesh H.","family":"Panchal","sequence":"additional","affiliation":[]},{"given":"Ali K.","family":"Raz","sequence":"additional","affiliation":[]},{"given":"Prajwal","family":"Balasubramani","sequence":"additional","affiliation":[]},{"given":"Apoorv","family":"Maheshwari","sequence":"additional","affiliation":[]},{"given":"Adam","family":"Dachowicz","sequence":"additional","affiliation":[]},{"given":"Kshitij","family":"Mall","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2908812.2908913"},{"key":"ref11","first-page":"431","article-title":"Dungeons & replicants: automated game balancing via deep player behavior modeling","author":"pfau","year":"0","journal-title":"2020 IEEE Conference on Games (CoG2020)"},{"key":"ref12","article-title":"Sentient sketchbook: computer-assisted game level authoring","author":"liapis","year":"2013","journal-title":"8th International Conference on the Foundations of Digital Games"},{"key":"ref13","first-page":"144","article-title":"Xai-driven explainable multi-view game cheating detection","author":"tao","year":"0","journal-title":"2020 IEEE Conference on Games (CoG2020)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2019.8847950"},{"key":"ref15","first-page":"1","article-title":"Explain-able ai for designers: A human-centered perspective on mixed-initiative co-creation","author":"zhu","year":"0","journal-title":"2018 IEEE Conference on Computational Intelligence and Games (CIG)"},{"key":"ref16","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref17","author":"villar","year":"2020","journal-title":"microRTS - GitHub"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231653"},{"key":"ref19","first-page":"708","article-title":"Improving the performance of mcts-based &#x00B5;rts agents through move pruning","author":"ouessai","year":"0","journal-title":"2020 IEEE Conference on Games (CoG2020)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/9781118309858"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88322-7_9"},{"key":"ref27","article-title":"Im-proving performance of deep learning models with axiomatic attribution priors and expected gradients","author":"erion","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref3","year":"0","journal-title":"Gamebreaker AI Effort Gets Under Way"},{"key":"ref6","first-page":"7","article-title":"Extending reinforcement learning to provide dynamic game balancing","year":"0","journal-title":"Proceedings of the Workshop on Reasoning Representation and Learning in Computer Games 19th International Joint Conference on Artificial Intelligence (IJCAI)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1082473.1082648"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55849-3_25"},{"key":"ref7","first-page":"3","article-title":"Dynamic game balancing: An evaluation of user satisfaction","volume":"6","author":"andrade","year":"2006","journal-title":"AIIDE"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1126\/science.aay2400","article-title":"Superhuman ai for multiplayer poker","volume":"365","author":"brown","year":"2019","journal-title":"Science"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2016.7860432"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1038\/s41586-019-1724-z","article-title":"Grand-master level in starcraft ii using multi-agent reinforcement learning","volume":"575","author":"vinyals","year":"2019","journal-title":"Nature"},{"key":"ref20","first-page":"1652","article-title":"Adversarial hierarchical-task network planning for complex real-time games","author":"ontan\u00f3n","year":"0","journal-title":"Proceedings of the 24th International Conference on Artificial Intelligence"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2016.7860439"},{"key":"ref21","article-title":"Experiments on learning unit-action models from replay data from rts games","volume":"12?1","author":"ontanon","year":"0","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment"},{"key":"ref24","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2017.2717902"},{"key":"ref26","author":"lundberg","year":"2021","journal-title":"A game theoretic approach to explain the output of any machine learning model"},{"key":"ref25","article-title":"Mission engineering and design using real-time strategy games: An explainable-ai approach","author":"dachowicz","year":"2020","journal-title":"Journal of Mechanical Design"}],"event":{"name":"2021 IEEE Conference on Games (CoG)","location":"Copenhagen, Denmark","start":{"date-parts":[[2021,8,17]]},"end":{"date-parts":[[2021,8,20]]}},"container-title":["2021 IEEE Conference on Games (CoG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9618888\/9618891\/09619032.pdf?arnumber=9619032","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:53:36Z","timestamp":1652201616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9619032\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,17]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/cog52621.2021.9619032","relation":{},"subject":[],"published":{"date-parts":[[2021,8,17]]}}}