{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:11:22Z","timestamp":1780636282533,"version":"3.54.1"},"reference-count":78,"publisher":"Informa UK Limited","issue":"3","license":[{"start":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T00:00:00Z","timestamp":1713916800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Research Council of Finland","doi-asserted-by":"publisher","award":["328400, 345604, 341763"],"award-info":[{"award-number":["328400, 345604, 341763"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Research Council of Finland","doi-asserted-by":"publisher","award":["357578"],"award-info":[{"award-number":["357578"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Behaviour & Information Technology"],"published-print":{"date-parts":[[2025,2,7]]},"DOI":"10.1080\/0144929x.2024.2329616","type":"journal-article","created":{"date-parts":[[2024,4,24]],"date-time":"2024-04-24T08:53:42Z","timestamp":1713948822000},"page":"552-573","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":4,"title":["Explaining crowdworker behaviour through computational rationality"],"prefix":"10.1080","volume":"44","author":[{"given":"Michael A.","family":"Hedderich","sequence":"first","affiliation":[{"name":"Cornell University","place":["USA"]},{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antti","family":"Oulasvirta","sequence":"additional","affiliation":[{"name":"Aalto University","place":["Espoo, Finland"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2024,4,24]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"crossref","unstructured":"Adolphs Leonard and Thomas Hofmann. 2020. \u201cLeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games.\u201d In The 34th AAAI Conference on Artificial Intelligence AAAI 2020 The 32nd Innovative Applications of Artificial Intelligence Conference IAAI 2020 The 10th AAAI Symposium on Educational Advances in Artificial Intelligence EAAI 2020 February 7\u201312 7342\u20137349. New York NY USA: AAAI Press.","DOI":"10.1609\/aaai.v34i05.6228"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106771"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.352.6291.1263"},{"key":"e_1_3_3_5_1","unstructured":"Brockman Greg Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. \u201cOpenAI Gym.\u201d arXiv:1606.01540."},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818048.2820023"},{"key":"e_1_3_3_7_1","doi-asserted-by":"crossref","unstructured":"Chang Joseph Chee Saleema Amershi and Ece Kamar. 2017. \u201cRevolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets.\u201d In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems edited by Gloria Mark Susan R. Fussell Cliff Lampe M. C. Schraefel Juan Pablo Hourcade Caroline Appert and Daniel Wigdor May 6\u201311 2334\u20132346. Denver CO USA: ACM.","DOI":"10.1145\/3025453.3026044"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17010079"},{"key":"e_1_3_3_9_1","doi-asserted-by":"crossref","unstructured":"Chilton Lydia B. John J. Horton Robert C. Miller and Shiri Azenkot. 2010. \u201cTask Search in A Human Computation Market.\u201d In Proceedings of the ACM SIGKDD Workshop on Human Computation HCOMP '10 July 25 1\u20139. Washington DC USA: ACM.","DOI":"10.1145\/1837885.1837889"},{"key":"e_1_3_3_10_1","unstructured":"Dabney Will Mark Rowland Marc G. Bellemare and R\u00e9mi Munos. 2018. \u201cDistributional Reinforcement Learning With Quantile Regression.\u201d In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18) The 30th Innovative Applications of Artificial Intelligence (IAAI-18) and The 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18) edited by Sheila A. McIlraith and Kilian Q. Weinberger February 2\u20137 2892\u20132901. New Orleans LA USA: AAAI Press."},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.3758\/CABN.8.4.429"},{"key":"e_1_3_3_12_1","doi-asserted-by":"crossref","unstructured":"Deng Jia Wei Dong Richard Socher Li-Jia Li Kai Li and Li Fei-Fei. 2009. \u201cImageNet: A Large-Scale Hierarchical Image Database.\u201d In 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009) June 20\u201325 248\u2013255. Miami FL USA: IEEE Computer Society.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_3_13_1","doi-asserted-by":"crossref","unstructured":"Difallah Djellel Eddine Michele Catasta Gianluca Demartini Panagiotis G. Ipeirotis and Philippe Cudr\u00e9-Mauroux. 2015. \u201cThe Dynamics of Micro-Task Crowdsourcing: The Case of Amazon MTurk.\u201d In Proceedings of the 24th International Conference on World Wide Web (WWW '15) International World Wide Web Conferences Steering Committee 238\u2013247. Florence Italy: Republic and Canton of Geneva CHE.","DOI":"10.1145\/2736277.2741685"},{"key":"e_1_3_3_14_1","unstructured":"Do Seungwon Minsuk Chang and Byungjoo Lee. 2021. \u201cA Simulation Model of Intermittently Controlled Point-and-Click Behaviour.\u201d In CHI '21: CHI Conference on Human Factors in Computing Systems edited by Yoshifumi Kitamura Aaron Quigley Katherine Isbister Takeo Igarashi Pernille Bj\u00f8rn and Steven Mark Drucker May 8\u201313 286:1\u2013286:17. Virtual Event \/ Yokohama Japan: ACM."},{"key":"e_1_3_3_15_1","doi-asserted-by":"crossref","unstructured":"Doroudi Shayan Ece Kamar Emma Brunskill and Eric Horvitz. 2016. \u201cToward a Learning Science for Complex Crowdsourcing Tasks.\u201d In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16) 2623\u20132634. San Jose CA New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2858036.2858268"},{"key":"e_1_3_3_16_1","doi-asserted-by":"crossref","unstructured":"Egelman Serge Ed H. Chi and Steven Dow. 2014. \u201cCrowdsourcing in HCI Research.\u201d In Ways of Knowing in HCI 267\u2013289. New York NY USA: Springer New York.","DOI":"10.1007\/978-1-4939-0378-8_11"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.10.082"},{"key":"e_1_3_3_18_1","doi-asserted-by":"crossref","unstructured":"Feyisetan Oluwaseyi Elena Simperl Max Van Kleek and Nigel Shadbolt. 2015. \u201cImproving Paid Microtasks through Gamification and Adaptive Furtherance Incentives.\u201d In Proceedings of the 24th International Conference on World Wide Web WWW 2015 edited by Aldo Gangemi Stefano Leonardi and Alessandro Panconesi May 18\u201322 333\u2013343. Florence Italy: ACM.","DOI":"10.1145\/2736277.2741639"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10606-018-9336-y"},{"key":"e_1_3_3_21_1","doi-asserted-by":"crossref","unstructured":"Gadiraju Ujwal Ricardo Kawase and Stefan Dietze. 2014. \u201cA Taxonomy of Microtasks on the Web.\u201d In Proceedings of the 25th ACM Conference on Hypertext and Social Media (HT '14) 218\u2013223. Santiago Chile New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2631775.2631819"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42113-020-00093-9"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660398.2660403"},{"key":"e_1_3_3_24_1","doi-asserted-by":"crossref","unstructured":"Han Lei Kevin Roitero Ujwal Gadiraju Cristina Sarasua Alessandro Checco Eddy Maddalena and Gianluca Demartini. 2019. \u201cAll Those Wasted Hours: On Task Abandonment in Crowdsourcing.\u201d In Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM '19) 321\u2013329. Melbourne VIC Australia New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/3289600.3291035"},{"key":"e_1_3_3_25_1","doi-asserted-by":"crossref","unstructured":"Hara Kotaro Abigail Adams Kristy Milland Saiph Savage Chris Callison-Burch and Jeffrey P. Bigham. 2018. \u201cA Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk.\u201d In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems CHI 2018 edited by Regan L. Mandryk Mark Hancock Mark Perry and Anna L. Cox April 21\u201326 449. Montreal QC Canada: ACM.","DOI":"10.1145\/3173574.3174023"},{"key":"e_1_3_3_26_1","doi-asserted-by":"crossref","unstructured":"Hedderich Michael A. Lukas Lange Heike Adel Jannik Str\u00f6tgen and Dietrich Klakow. 2021. \u201cA Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios.\u201d In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies NAACL-HLT 2021 Online June 6\u201311 2545\u20132568. Association for Computational Linguistics.","DOI":"10.18653\/v1\/2021.naacl-main.201"},{"issue":"3","key":"e_1_3_3_27_1","first-page":"49","article-title":"A Survey on Task Assignment in Crowdsourcing","volume":"55","author":"Hettiachchi Danula","year":"2022","unstructured":"Hettiachchi, Danula, Vassilis Kostakos, and Jorge Goncalves. 2022. \u201cA Survey on Task Assignment in Crowdsourcing.\u201d ACM Computing Surveys 55 (3): 49.","journal-title":"ACM Computing Surveys"},{"key":"e_1_3_3_28_1","unstructured":"Hovy Dirk Taylor Berg-Kirkpatrick Ashish Vaswani and Eduard H. Hovy. 2013. \u201cLearning Whom to Trust with MACE.\u201d In Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics Proceedings edited by Lucy Vanderwende Hal Daum\u00e9 III and Katrin Kirchhoff June 9\u201314 1120\u20131130. Westin Peachtree Plaza Hotel Atlanta GA USA: The Association for Computational Linguistics."},{"key":"e_1_3_3_29_1","volume-title":"Resource Rationality","author":"Icard Thomas F.","year":"2023","unstructured":"Icard, Thomas F. 2023. Resource Rationality. PhilArchive. https:\/\/philarchive.org\/rec\/ICARRT."},{"key":"e_1_3_3_30_1","doi-asserted-by":"crossref","unstructured":"Irani Lilly C. and M. Six Silberman. 2013. \u201cTurkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk.\u201d In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13) 611\u2013620. New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2470654.2470742"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11403-019-00266-1"},{"key":"e_1_3_3_32_1","doi-asserted-by":"crossref","unstructured":"Jokinen Jussi Aditya Acharya Mohammad Uzair Xinhui Jiang and Antti Oulasvirta. 2021. \u201cTouchscreen Typing as Optimal Supervisory Control.\u201d In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/3411764.3445483"},{"key":"e_1_3_3_33_1","unstructured":"Kaufmann Nicolas Thimo Schulze and Daniel Veit. 2011. \u201cMore Than Fun and Money. Worker Motivation in Crowdsourcing \u2013 A Study on Mechanical Turk.\u201d In A Renaissance of Information Technology for Sustainability and Global Competitiveness. 17th Americas Conference on Information Systems AMCIS 2011 edited by Vallabh Sambamurthy and Mohan Tanniru August 4\u20138 340. Detroit Michigan USA: Association for Information Systems."},{"key":"e_1_3_3_34_1","doi-asserted-by":"crossref","unstructured":"Kazai Gabriella Jaap Kamps and Natasa Milic-Frayling. 2011. \u201cWorker Types and Personality Traits in Crowdsourcing Relevance Labels.\u201d In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM '11) 1941\u20131944. Glasgow Scotland UK New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2063576.2063860"},{"key":"e_1_3_3_35_1","doi-asserted-by":"crossref","unstructured":"Kazai Gabriella Jaap Kamps and Natasa Milic-Frayling. 2012. \u201cThe Face of Quality in Crowdsourcing Relevance Labels: Demographics Ality and Labeling Accuracy.\u201d In 21st ACM International Conference on Information and Knowledge Management CIKM'12 edited by Xue-wen Chen Guy Lebanon Haixun Wang and Mohammed J. Zaki October 29 \u2013 November 2 2583\u20132586. Maui HI USA: ACM.","DOI":"10.1145\/2396761.2398697"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-12334-5"},{"key":"e_1_3_3_37_1","doi-asserted-by":"crossref","unstructured":"Kim Joy Justin Cheng and Michael S. Bernstein. 2014. \u201cEnsemble: Exploring Complementary Strengths of Leaders and Crowds in Creative Collaboration.\u201d In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing 745\u2013755. New York NY USA: Association for Computing Machinery","DOI":"10.1145\/2531602.2531638"},{"key":"e_1_3_3_38_1","doi-asserted-by":"crossref","unstructured":"Kittur Aniket Ed H. Chi and Bongwon Suh. 2008. \u201cCrowdsourcing User Studies with Mechanical Turk.\u201d In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08) 453\u2013456. Florence Italy New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/1357054.1357127"},{"key":"e_1_3_3_39_1","doi-asserted-by":"crossref","unstructured":"Krishna Ranjay A. Kenji Hata Stephanie Chen Joshua Kravitz David A. Shamma Li Fei-Fei and Michael S. Bernstein. 2016. \u201cEmbracing Error to Enable Rapid Crowdsourcing.\u201d In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16) 3167\u20133179. San Jose CA USA New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2858036.2858115"},{"key":"e_1_3_3_40_1","doi-asserted-by":"crossref","unstructured":"Kucherbaev Pavel Florian Daniel Maurizio Marchese Fabio Casati and Brian Reavey. 2014. \u201cToward Effective Tasks Navigation in Crowdsourcing.\u201d In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces (AVI '14) 401\u2013404. Como Italy New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/2598153.2602249"},{"key":"e_1_3_3_41_1","doi-asserted-by":"crossref","unstructured":"Li Zhi Yu-Jung Ko Aini Putkonen Shirin Feiz Vikas Ashok I. V. Ramakrishnan Antti Oulasvirta and Xiaojun Bi. 2023. \u201cModeling Touch-based Menu Selection Performance of Blind Users via Reinforcement Learning.\u201d In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems 1\u201318. New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/3544548.3580640"},{"key":"e_1_3_3_42_1","doi-asserted-by":"crossref","unstructured":"Lin Tsung-Yi Michael Maire Serge J. Belongie James Hays Pietro Perona Deva Ramanan Piotr Doll\u00e1r and C. Lawrence Zitnick. 2014. \u201cMicrosoft COCO: Common Objects in Context.\u201d In 13th European Conference Computer Vision \u2013 ECCV Proceedings Part V (Lecture Notes in Computer Science Vol. 8693) edited by David J. Fleet Tom\u00e1s Pajdla Bernt Schiele and Tinne Tuytelaars September 6\u201312 740\u2013755. Zurich Switzerland: Springer.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_3_43_1","unstructured":"Liu Qiang Alexander T. Ihler and Mark Steyvers. 2013. \u201cScoring Workers in Crowdsourcing: How Many Control Questions are Enough?\u201d In Advances in Neural Information Processing Systems edited by C.J. Burges L. Bottou M. Welling Z. Ghahramani and K.Q. Weinberger Vol. 26. Lake Tahoe: Curran Associates Inc."},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.14778\/2336664.2336676"},{"key":"e_1_3_3_45_1","doi-asserted-by":"crossref","unstructured":"Ma Fenglong Yaliang Li Qi Li Minghui Qiu Jing Gao Shi Zhi Lu Su et al. 2015. \u201cFaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.\u201d In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining August 10\u201313 745\u2013754. Sydney NSW Australia: ACM.","DOI":"10.1145\/2783258.2783314"},{"key":"e_1_3_3_46_1","unstructured":"Martin David B. Benjamin V. Hanrahan Jacki O'Neill and Neha Gupta. 2014. \u201cBeing A Turker.\u201d In Computer Supported Cooperative Work CSCW '14 edited by Susan R. Fussell Wayne G. Lutters Meredith Ringel Morris and Madhu C. Reddy February 15\u201319 224\u2013235. Baltimore MD USA: ACM."},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/1809400.1809422"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3479519"},{"key":"e_1_3_3_49_1","doi-asserted-by":"crossref","unstructured":"McInnis Brian James Dan Cosley Chaebong Nam and Gilly Leshed. 2016. \u201cTaking A HIT: Designing Around Rejection Mistrust Risk and Workers' Experiences in Amazon Mechanical Turk.\u201d In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems edited by Jofish Kaye Allison Druin Cliff Lampe Dan Morris and Juan Pablo Hourcade May 7\u201312 2271\u20132282. San Jose CA USA: ACM.","DOI":"10.1145\/2858036.2858539"},{"key":"e_1_3_3_50_1","unstructured":"Mnih Volodymyr Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra and Martin Riedmiller. 2013. \u201cPlaying Atari with Deep Reinforcement Learning.\u201d arXiv preprint arXiv:1312.5602."},{"key":"e_1_3_3_51_1","doi-asserted-by":"crossref","unstructured":"Nguyen An Byron Wallace and Matthew Lease. 2015. \u201cCombining Crowd and Expert Labels Using Decision Theoretic Active Learning.\u201d In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing Vol. 3 120\u2013129. San Diego California USA: AAAI Press.","DOI":"10.1609\/hcomp.v3i1.13225"},{"key":"e_1_3_3_52_1","doi-asserted-by":"crossref","unstructured":"Oulasvirta Antti Jussi P. P. Jokinen and Andrew Howes. 2022. \u201cComputational Rationality as a Theory of Interaction.\u201d In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22) 359. New Orleans LA USA New York NY USA: Association for Computing Machinery.","DOI":"10.1145\/3491102.3517739"},{"key":"e_1_3_3_53_1","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v7i1.5282"},{"key":"e_1_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00167"},{"key":"e_1_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3335081"},{"key":"e_1_3_3_56_1","doi-asserted-by":"crossref","unstructured":"Qiu Sihang Alessandro Bozzon and Geert-Jan Houben. 2020. \u201cVirtualCrowd: A Simulation Platform for Microtask Crowdsourcing Campaigns.\u201d In Companion of The 2020 Web Conference 2020 edited by Amal El Fallah Seghrouchni Gita Sukthankar Tie-Yan Liu and Maarten van Steen April 20\u201324 222\u2013225. Taipei Taiwan: ACM \/ IW3C2.","DOI":"10.1145\/3366424.3383546"},{"key":"e_1_3_3_57_1","doi-asserted-by":"crossref","unstructured":"Qiu Sihang Ujwal Gadiraju and Alessandro Bozzon. 2020. \u201cImproving Worker Engagement Through Conversational Microtask Crowdsourcing.\u201d In CHI '20: CHI Conference on Human Factors in Computing Systems edited by Regina Bernhaupt Florian \u2018Floyd\u2019 Mueller David Verweij Josh Andres Joanna McGrenere Andy Cockburn Ignacio Avellino Alix Goguey Pernille Bj\u00f8n Shengdong Zhao Briane Paul Samson and Rafal Kocielnik April 25\u201330 1\u201312. Honolulu HI USA: ACM.","DOI":"10.1145\/3313831.3376403"},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.05.036"},{"issue":"268","key":"e_1_3_3_59_1","first-page":"1","article-title":"Stable-Baselines3: Reliable Reinforcement Learning Implementations","volume":"22","author":"Raffin Antonin","year":"2021","unstructured":"Raffin, Antonin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, and Noah Dormann. 2021. \u201cStable-Baselines3: Reliable Reinforcement Learning Implementations.\u201d Journal of Machine Learning Research 22 (268): 1\u20138.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_60_1","doi-asserted-by":"crossref","unstructured":"Rogstadius Jakob Vassilis Kostakos Aniket Kittur Boris Smus Jim Laredo and Maja Vukovic. 2011. \u201cAn Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets.\u201d In Proceedings of the Fifth International Conference on Weblogs and Social Media edited by Lada A. Adamic Ricardo Baeza-Yates and Scott Counts July 17\u201321 321\u2013328. Barcelona Catalonia Spain: The AAAI Press.","DOI":"10.1609\/icwsm.v5i1.14105"},{"key":"e_1_3_3_61_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00026-X"},{"key":"e_1_3_3_62_1","unstructured":"Saremi Razieh L. Ye Yang Gregg Vesonder Guenther Ruhe and He Zhang. 2021. \u201cCrowdSim: A Hybrid Simulation Model for Failure Prediction in Crowdsourced Software Development.\u201d CoRR abs\/2103.09856."},{"key":"e_1_3_3_63_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-10021-3"},{"key":"e_1_3_3_64_1","unstructured":"Scekic Ognjen Christoph Dorn and Schahram Dustdar. 2013. \u201cSimulation-Based Modeling and Evaluation of Incentive Schemes in Crowdsourcing Environments.\u201d In On the Move to Meaningful Internet Systems: OTM 2013 Conferences \u2013 Confederated International Conferences: CoopIS DOA-Trusted Cloud and ODBASE 2013 Proceedings (Lecture Notes in Computer Science Vol. 8185) edited by Robert Meersman Herv\u00e9 Panetto Tharam S. Dillon Johann Eder Zohra Bellahsene Norbert Ritter Pieter De Leenheer and Dejing Dou September 9\u201313 167\u2013184. Graz Austria: Springer."},{"key":"e_1_3_3_65_1","doi-asserted-by":"publisher","DOI":"10.1002\/bdm.v34.2"},{"key":"e_1_3_3_66_1","unstructured":"Singla Adish Ilija Bogunovic G\u00e1bor Bart\u00f3k Amin Karbasi and Andreas Krause. 2014. \u201cNear-Optimally Teaching the Crowd to Classify.\u201d In Proceedings of the 31th International Conference on Machine Learning ICML 2014 (JMLR Workshop and Conference Proceedings Vol. 32) June 21\u201326 154\u2013162. Beijing China: JMLR.org."},{"key":"e_1_3_3_67_1","doi-asserted-by":"crossref","unstructured":"Snow Rion Brendan O'Connor Daniel Jurafsky and Andrew Y. Ng. 2008. \u201cCheap and Fast \u2013 But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks.\u201d In 2008 Proceedings of the Conference on Empirical Methods in Natural Language Processing EMNLP 2008 A meeting of SIGDAT a Special Interest Group of the ACL October 25\u201327 254\u2013263. Honolulu HI USA: ACL.","DOI":"10.3115\/1613715.1613751"},{"key":"e_1_3_3_68_1","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton Richard S.","year":"2018","unstructured":"Sutton, Richard S., and Andrew G. Barto. 2018. Reinforcement Learning: An Introduction. Cambridge, Massachusetts, USA: MIT Press."},{"key":"e_1_3_3_69_1","doi-asserted-by":"crossref","unstructured":"Tanno Ryutaro Ardavan Saeedi Swami Sankaranarayanan Daniel C. Alexander and Nathan Silberman. 2019. \u201cLearning From Noisy Labels by Regularized Estimation of Annotator Confusion.\u201d In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach CA USA: IEEE.","DOI":"10.1109\/CVPR.2019.01150"},{"key":"e_1_3_3_70_1","unstructured":"Vinyals Oriol Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo and Alireza Makhzani et al. 2017. \u201cStarCraft II: A New Challenge for Reinforcement Learning.\u201d CoRR abs\/1708.04782."},{"key":"e_1_3_3_71_1","unstructured":"Wu Yuhuai Elman Mansimov Shun Liao Alec Radford and John Schulman. 2017. \u201cOpenAI Baselines: ACKTR & A2C.\u201d Technical Report. OpenAI."},{"key":"e_1_3_3_72_1","doi-asserted-by":"publisher","DOI":"10.18564\/jasss.3854"},{"key":"e_1_3_3_73_1","doi-asserted-by":"crossref","unstructured":"Yang Jie Judith Redi Gianluca Demartini and Alessandro Bozzon. 2016. \u201cModeling Task Complexity in Crowdsourcing.\u201d In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing Vol. 4 249\u2013258. Austin Texas USA: AAAI Press.","DOI":"10.1609\/hcomp.v4i1.13283"},{"key":"e_1_3_3_74_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.109501"},{"key":"e_1_3_3_75_1","doi-asserted-by":"crossref","unstructured":"Yu Lixiu and Jeffrey V. Nickerson. 2011. \u201cCooks or Cobblers?: Crowd Creativity Through Combination.\u201d In Proceedings of the International Conference on Human Factors in Computing Systems CHI 2011 edited by Desney S. Tan Saleema Amershi Bo Begole Wendy A. Kellogg and Manas Tungare May 7\u201312 1393\u20131402. Vancouver BC Canada: ACM.","DOI":"10.1145\/1978942.1979147"},{"key":"e_1_3_3_76_1","doi-asserted-by":"publisher","DOI":"10.1080\/0144929X.2021.1941258"},{"key":"e_1_3_3_77_1","unstructured":"Zhang Kaiqing Zhuoran Yang and Tamer Basar. 2019. \u201cMulti-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms.\u201d CoRR abs\/1911.10635."},{"key":"e_1_3_3_78_1","doi-asserted-by":"publisher","DOI":"10.1108\/OIR-08-2014-0188"},{"key":"e_1_3_3_79_1","doi-asserted-by":"crossref","unstructured":"Zou Guangyu Alvaro Gil and Marina Tharayil. 2014. \u201cAn Agent-Based Model for Crowdsourcing Systems.\u201d In Proceedings of the 2014 Winter Simulation Conference edited by Stephen J. Buckley and John A. Miller December 7\u201310 407\u2013418. Savannah GA USA: IEEE\/ACM.","DOI":"10.1109\/WSC.2014.7019907"}],"container-title":["Behaviour & Information Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/0144929X.2024.2329616","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T13:56:52Z","timestamp":1739455012000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0144929X.2024.2329616"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,24]]},"references-count":78,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,2,7]]}},"alternative-id":["10.1080\/0144929X.2024.2329616"],"URL":"https:\/\/doi.org\/10.1080\/0144929x.2024.2329616","relation":{},"ISSN":["0144-929X","1362-3001"],"issn-type":[{"value":"0144-929X","type":"print"},{"value":"1362-3001","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,24]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tbit20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tbit20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-07-20","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-02-17","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}