{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T03:04:11Z","timestamp":1777518251715,"version":"3.51.4"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031101601","type":"print"},{"value":"9783031101618","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10161-8_16","type":"book-chapter","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T20:02:54Z","timestamp":1658174574000},"page":"294-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Advances in\u00a0Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Conor","family":"Stephens","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Exton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"issue":"4","key":"16_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1324198.1324207","volume":"5","author":"L Achterbosch","year":"2008","unstructured":"Achterbosch, L., Pierce, R., Simmons, G.: Massively multiplayer online role-playing games: the past, present, and future. Comput. Entertain. 5(4), 1\u201333 (2008). https:\/\/doi.org\/10.1145\/1324198.1324207","journal-title":"Comput. Entertain."},{"key":"16_CR2","volume-title":"Game Mechanics: Advanced Game Design","author":"E Adams","year":"2012","unstructured":"Adams, E., Dormans, J.: Game Mechanics: Advanced Game Design, 1st edn. New Riders Publishing, USA (2012)","edition":"1"},{"key":"16_CR3","unstructured":"Becker, A., G\u00f6rlich, D.: Game balancing - a semantical analysis (2019)"},{"key":"16_CR4","unstructured":"Bergdahl, J., Gordillo, C., Tollmar, K., Gissl\u00e9n, L.: Augmenting automated game testing with deep reinforcement learning. CoRR abs\/2103.15819 (2021). https:\/\/arxiv.org\/abs\/2103.15819"},{"key":"16_CR5","doi-asserted-by":"publisher","unstructured":"Beyer, M., et al.: An integrated process for game balancing (2016). https:\/\/doi.org\/10.1109\/CIG.2016.7860425","DOI":"10.1109\/CIG.2016.7860425"},{"key":"16_CR6","unstructured":"Carpenter, A.: Applying risk analysis to play-balance rpgs (2003)"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Castronova, E.: On virtual economies. Game Studies 3 (2002)","DOI":"10.2139\/ssrn.338500"},{"key":"16_CR8","unstructured":"Credits, E.: Perfect imbalance - why unbalanced design creates balanced play (2012). https:\/\/www.youtube.com\/watch?v=e31OSVZF77w. In comment section. Accessed 26 Oct 2021"},{"key":"16_CR9","doi-asserted-by":"publisher","unstructured":"Fullerton, T.: Game Design Workshop. A Playcentric Approach to Creating Innovative Games, pp. 248\u2013276 (2008). https:\/\/doi.org\/10.1201\/b22309","DOI":"10.1201\/b22309"},{"key":"16_CR10","doi-asserted-by":"publisher","unstructured":"Gudmundsson, S., et al.: Human-like playtesting with deep learning, pp. 1\u20138 (2018). https:\/\/doi.org\/10.1109\/CIG.2018.8490442","DOI":"10.1109\/CIG.2018.8490442"},{"key":"16_CR11","unstructured":"Haarnoja, T., Zhou, A., Abbeel, P., Levine, S.: Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor. In: Proceedings of Machine Learning Research, vol. 80, pp. 1861\u20131870. PMLR, Stockholmsm\u00e4ssan, Stockholm (2018). http:\/\/proceedings.mlr.press\/v80\/haarnoja18b.html"},{"key":"16_CR12","unstructured":"Haufe, V.: Hyperinflation in gaia online | know your meme. https:\/\/knowyourmeme.com\/memes\/events\/hyperinflation-in-gaia-online (2014). Accessed 08 May 2020"},{"key":"16_CR13","unstructured":"Ho, J., Ermon, S.: Generative adversarial imitation learning. CoRR abs\/1606.03476 (2016). http:\/\/arxiv.org\/abs\/1606.03476"},{"key":"16_CR14","unstructured":"Hutchinson, L.: War stories: lord British created an ecology for Ultima Online but no one saw it (2018). https:\/\/arstechnica.com\/gaming\/2018\/12\/an-afternoon-with-lord-british-creating-ultima-onlines-unknown-virtual-ecology"},{"key":"16_CR15","unstructured":"Juliani, A., et al.: Unity: a general platform for intelligent agents. CoRR abs\/1809.02627 (2018). http:\/\/arxiv.org\/abs\/1809.02627"},{"key":"16_CR16","doi-asserted-by":"publisher","unstructured":"Kieger, S.: An exploration of entrepreneurship in massively multiplayer online role-playing games: second life and entropia universe. J. Virtual Worlds Res. 2 (2010). https:\/\/doi.org\/10.4101\/jvwr.v2i4.643","DOI":"10.4101\/jvwr.v2i4.643"},{"key":"16_CR17","unstructured":"Lowe, R., Wu, Y., Tamar, A., Harb, J., Abbeel, P., Mordatch, I.: Multi-agent actor-critic for mixed cooperative-competitive environments. CoRR abs\/1706.02275 (2017). http:\/\/arxiv.org\/abs\/1706.02275"},{"key":"16_CR18","doi-asserted-by":"publisher","unstructured":"Raychaudhuri, S.: Introduction to Monte Carlo simulation. In: 2008 Winter Simulation Conference, pp. 91\u2013100 (2008). https:\/\/doi.org\/10.1109\/WSC.2008.4736059","DOI":"10.1109\/WSC.2008.4736059"},{"key":"16_CR19","doi-asserted-by":"publisher","unstructured":"Sammut, C.: Behavioral cloning. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston (2011). https:\/\/doi.org\/10.1007\/978-0-387-30164-8_69","DOI":"10.1007\/978-0-387-30164-8_69"},{"key":"16_CR20","unstructured":"Silver, D., et al.: Mastering chess and shogi by self-play with a general reinforcement learning algorithm. CoRR abs\/1712.01815 (2017). http:\/\/arxiv.org\/abs\/1712.01815"},{"key":"16_CR21","doi-asserted-by":"publisher","unstructured":"Stephens, C., Exton, C.: Measuring inflation within virtual economies using deep reinforcement learning. In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence, vol. 2, pp. 444\u2013453. ICAART. INSTICC, SciTePress (2021). https:\/\/doi.org\/10.5220\/0010392804440453","DOI":"10.5220\/0010392804440453"},{"key":"16_CR22","doi-asserted-by":"crossref","unstructured":"Swink, S.: Game Feel: A Game Designer\u2019s Guide to Virtual Sensation. Morgan Kaufmann Game Design Books, Taylor & Francis (2009). https:\/\/books.google.ie\/books?id=i9GfunWcB-oC","DOI":"10.1201\/9781482267334"},{"key":"16_CR23","unstructured":"Works, H.M.: What eve online\u2019s tax havens teach us about new york\u2019s future. https:\/\/www.youtube.com\/watch?v=2t25bsqlTM8 (2021). In comment section. Accessed 25 Oct 2021"},{"key":"16_CR24","unstructured":"Works, H.M.: Why eve onlines market system might be too efficient for its own good. https:\/\/www.youtube.com\/watch?v=ijhAILUNz_s (2021). In comment section. Accessed 25 Oct 2021"},{"key":"16_CR25","unstructured":"Zheng, S., et al.: The AI economist: Improving equality and productivity with AI-driven tax policies (2020)"},{"issue":"1","key":"16_CR26","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1109\/TG.2018.2812763","volume":"11","author":"A Zook","year":"2019","unstructured":"Zook, A., Riedl, M.O.: Learning how design choices impact gameplay behavior. IEEE Trans. Games 11(1), 25\u201335 (2019). https:\/\/doi.org\/10.1109\/TG.2018.2812763","journal-title":"IEEE Trans. Games"},{"key":"16_CR27","unstructured":"Zook, A., Fruchter, E., Riedl, M.: Automatic playtesting for game parameter tuning via active learning (2019)"},{"key":"16_CR28","unstructured":"Zook, A., Harrison, B., Riedl, M.O.: Monte-Carlo tree search for simulation-based strategy analysis (2019)"}],"container-title":["Lecture Notes in Computer Science","Agents and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10161-8_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T20:05:13Z","timestamp":1658174713000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10161-8_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031101601","9783031101618"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10161-8_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"19 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAART","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Agents and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 February 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 February 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaart2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaart.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"298","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"72","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"99","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17 selected papers are included in the LNAI proceedings","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}