{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T07:43:09Z","timestamp":1733816589789,"version":"3.30.1"},"reference-count":68,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T00:00:00Z","timestamp":1664496000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIC"],"published-print":{"date-parts":[[2022,9,30]]},"abstract":"Research at the Interaction Lab focuses on human-agent communication using conversational Natural Language. The ultimate goal is to create systems where humans and AI agents (including embodied robots) can spontaneously form teams and coordinate shared tasks through the use of Natural Language conversation as a universal communication interface. This paper first introduces machine learning approaches to problems in conversational AI in general, where computational agents must coordinate with humans to solve tasks using conversational Natural Language. It also covers some of the practical systems developed in the Interaction Lab, ranging from speech interfaces on smart speakers to embodied robots interacting using visually grounded language. In several cases communication between multiple agents is addressed. The paper surveys the central research problems addressed here, the approaches developed, and our main results. Some key open research questions and directions are then discussed, leading towards a future vision of conversational, collaborative multi-agent systems.<\/jats:p>","DOI":"10.3233\/aic-220147","type":"journal-article","created":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T17:46:04Z","timestamp":1663350364000},"page":"295-308","source":"Crossref","is-referenced-by-count":0,"title":["Conversational AI for multi-agent communication in Natural Language"],"prefix":"10.1177","volume":"35","author":[{"given":"Oliver","family":"Lemon","sequence":"first","affiliation":[{"name":"School of Mathematical and Computer Sciences, Heriot-Watt University, United Kingdom"}]}],"member":"179","reference":[{"key":"10.3233\/AIC-220147_ref1","doi-asserted-by":"crossref","unstructured":"G.\u00a0Abercrombie, A.C.\u00a0Curry, M.\u00a0Pandya and V.\u00a0Rieser Alexa, Google, Siri: What Are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants, 2021.","DOI":"10.18653\/v1\/2021.gebnlp-1.4"},{"key":"10.3233\/AIC-220147_ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.312"},{"key":"10.3233\/AIC-220147_ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.728"},{"key":"10.3233\/AIC-220147_ref4","unstructured":"K.\u00a0Baker, A.\u00a0Parekh, A.\u00a0Fabre, A.\u00a0Addlesee, R.\u00a0Kruiper and O.\u00a0Lemon, The spoon is in the sink: Assisting visually impaired people in the kitchen, in: Proceedings of the Reasoning and Interaction Conference (ReInAct 2021), Association for Computational Linguistics, Gothenburg, Sweden, 2021, pp.\u00a032\u201339, https:\/\/aclanthology.org\/2021.reinact-1.5."},{"key":"10.3233\/AIC-220147_ref5","doi-asserted-by":"crossref","unstructured":"V.S.\u00a0Bastianelli and Rieser, SLURP: A spoken language understanding resource package, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, 2020, pp.\u00a07252\u20137262, https:\/\/www.aclweb.org\/anthology\/2020.emnlp-main.588.","DOI":"10.18653\/v1\/2020.emnlp-main.588"},{"key":"10.3233\/AIC-220147_ref6","unstructured":"A.W.\u00a0Black, S.\u00a0Burger, A.\u00a0Conkie, H.W.\u00a0Hastie, S.\u00a0Keizer, O.\u00a0Lemon, N.\u00a0Merigaud, G.\u00a0Parent, G.\u00a0Schubiner, B.\u00a0Thomson, J.D.\u00a0Williams, K.\u00a0Yu, S.J.\u00a0Young and M.\u00a0Esk\u00e9nazi, Spoken dialog challenge 2010: Comparison of live and control test results, in: Proceedings of the SIGDIAL 2011 Conference, the 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Oregon Science & Health University, June 17\u201318, 2011, Portland, Oregon, USA, The Association for Computer Linguistics, 2011, pp.\u00a02\u20137, https:\/\/aclanthology.org\/W11-2002\/."},{"key":"10.3233\/AIC-220147_ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1891903.1891910"},{"key":"10.3233\/AIC-220147_ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.375"},{"issue":"4","key":"10.3233\/AIC-220147_ref9","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1016\/j.csl.2013.12.002","article-title":"Real user evaluation of a POMDP spoken dialogue system using automatic belief compression","volume":"28","author":"Crook","year":"2014","journal-title":"Computer Speech and Language"},{"key":"10.3233\/AIC-220147_ref10","unstructured":"H.\u00a0Cuay\u00e1huitl, S.\u00a0Keizer and O.\u00a0Lemon, Strategic Dialogue Management via Deep Reinforcement Learning, in: NIPS Workshop on Deep Reinforcement Learning, 2015."},{"key":"10.3233\/AIC-220147_ref11","unstructured":"A.\u00a0Curry, I.\u00a0Papaioannou, A.\u00a0Suglia, S.\u00a0Agarwal, I.\u00a0Shalyminov, X.\u00a0Xinnuo, O.\u00a0Dusek, A.\u00a0Eshghi, I.\u00a0Konstas, V.\u00a0Rieser and O.\u00a0Lemon, Alana v2: Entertaining and informative open-domain social dialogue using ontologies and entity linking, in: Proceedings of Alexa Prize, 2018."},{"key":"10.3233\/AIC-220147_ref12","doi-asserted-by":"crossref","unstructured":"A.\u00a0Das, S.\u00a0Kottur, K.\u00a0Gupta, A.\u00a0Singh, D.\u00a0Yadav, J.M.F.\u00a0Moura, D.\u00a0Parikh and D.\u00a0Batra, Visual Dialog, in: Proceedings of CVPR, 2017.","DOI":"10.1109\/CVPR.2017.121"},{"key":"10.3233\/AIC-220147_ref13","unstructured":"H.\u00a0de\u00a0Vries, D.\u00a0Bahdanau and C.\u00a0Manning, Towards Ecologically Valid Research on Language User Interfaces, 2020."},{"key":"10.3233\/AIC-220147_ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.475"},{"key":"10.3233\/AIC-220147_ref16","doi-asserted-by":"crossref","unstructured":"E.\u00a0Dinan, G.\u00a0Abercrombie, A.\u00a0Bergman, S.\u00a0Spruit, D.\u00a0Hovy, Y.-L.\u00a0Boureau and V.\u00a0Rieser, SafetyKit: First aid for measuring safety in open-domain conversational systems, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Dublin, Ireland, 2022, pp.\u00a04113\u20134133, https:\/\/aclanthology.org\/2022.acl-long.284.","DOI":"10.18653\/v1\/2022.acl-long.284"},{"key":"10.3233\/AIC-220147_ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1909.06174"},{"key":"10.3233\/AIC-220147_ref18","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.csl.2019.06.009","article-title":"Evaluating the state-of-the-art of end-to-end natural language generation: The E2E NLG challenge","volume":"59","author":"Du\u0161ek","year":"2020","journal-title":"Computer Speech & Language"},{"key":"10.3233\/AIC-220147_ref19","doi-asserted-by":"crossref","unstructured":"A.\u00a0Eshghi, I.\u00a0Shalyminov and O.\u00a0Lemon, Bootstrapping incremental dialogue systems from minimal data: The generalisation power of dialogue grammars, in: EMNLP, 2017.","DOI":"10.18653\/v1\/D17-1236"},{"key":"10.3233\/AIC-220147_ref21","doi-asserted-by":"crossref","unstructured":"M.E.\u00a0Foster, S.\u00a0Keizer and O.\u00a0Lemon, Action selection under uncertainty for a socially aware robot bartender, in: Proceedings of Human-Robot Interaction (HRI), 2014.","DOI":"10.1145\/2559636.2559805"},{"issue":"1\u20133","key":"10.3233\/AIC-220147_ref23","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/0167-2789(90)90087-6","article-title":"The symbol grounding problem","volume":"42","author":"Harnad","year":"1990","journal-title":"Physica D: Nonlinear Phenomena"},{"issue":"4","key":"10.3233\/AIC-220147_ref24","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1162\/coli.2008.07-028-R2-05-82","article-title":"Hybrid reinforcement\/supervised learning of dialogue policies from fixed data sets","volume":"34","author":"Henderson","year":"2008","journal-title":"Computational Linguistics"},{"key":"10.3233\/AIC-220147_ref25","unstructured":"N.\u00a0Ilinykh, S.\u00a0Zarrie\u00df and D.\u00a0Schlangen, MeetUp! A corpus of joint activity dialogues in a visual environment, in: Proceedings of SEMDIAL 2019, 2019."},{"key":"10.3233\/AIC-220147_ref26","doi-asserted-by":"crossref","unstructured":"S.\u00a0Janarthanam and O.\u00a0Lemon, Adaptive referring expression generation in spoken dialogue systems: Evaluation with real users, in: Proceedings of SIGDIAL, 2010.","DOI":"10.1007\/978-3-642-15573-4_4"},{"issue":"4","key":"10.3233\/AIC-220147_ref27","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1162\/COLI_a_00203","article-title":"Adaptive generation in dialogue systems using dynamic user modeling","volume":"40","author":"Janarthanam","year":"2014","journal-title":"Computational Linguistics"},{"key":"10.3233\/AIC-220147_ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2600021"},{"key":"10.3233\/AIC-220147_ref29","unstructured":"S.\u00a0Keizer, M.E.\u00a0Foster, O.\u00a0Lemon, A.\u00a0Gaschler and M.\u00a0Giuliani, Training and evaluation of an MDP model for social multi-user human-robot interaction, in: Proceedings of SIGDIAL, 2013."},{"key":"10.3233\/AIC-220147_ref30","unstructured":"S.\u00a0Keizer, P.\u00a0Kastoris, M.E.\u00a0Foster, A.\u00a0Deshmukh and O.\u00a0Lemon, User evaluation of a multi-user social interaction model implemented on a nao robot, in: Proceedings of the ICSR 2013 Workshop on Robots in Public Spaces, 2013."},{"key":"10.3233\/AIC-220147_ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531814"},{"key":"10.3233\/AIC-220147_ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1014"},{"key":"10.3233\/AIC-220147_ref33","doi-asserted-by":"crossref","unstructured":"A.\u00a0Lazaridou, A.\u00a0Potapenko and O.\u00a0Tieleman, in: Multi-Agent Communication Meets Natural Language: Synergies Between Functional and Structural Language Learning, in: ACL, Association for Computational Linguistics, 2020, pp.\u00a07663\u20137674.","DOI":"10.18653\/v1\/2020.acl-main.685"},{"issue":"2","key":"10.3233\/AIC-220147_ref34","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.csl.2010.04.005","article-title":"Learning what to say and how to say it: Joint optimization of spoken dialogue management and natural language generation","volume":"25","author":"Lemon","year":"2011","journal-title":"Computer Speech and Language"},{"key":"10.3233\/AIC-220147_ref35","unstructured":"O.\u00a0Lemon, Conversational grounding in emergent communication \u2013 data and divergence, in: Emergent Communication (EmeComm) Workshop at ICLR, 2022, https:\/\/openreview.net\/forum?id=BbG-m-0Xbq."},{"issue":"3","key":"10.3233\/AIC-220147_ref36","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1145\/1017494.1017496","article-title":"Multithreaded context for robust conversational interfaces: Context-sensitive speech recognition and interpretation of corrective fragments","volume":"11","author":"Lemon","year":"2004","journal-title":"ACM Transactions on Computer-Human Interaction (ACM TOCHI)"},{"key":"10.3233\/AIC-220147_ref37","doi-asserted-by":"crossref","unstructured":"O.\u00a0Lemon, A.\u00a0Gruenstein, A.\u00a0Battle and S.\u00a0Peters, in: Multi-Tasking and Collaborative Activities in Dialogue Systems, in: SIGDIAL Workshop, the Association for Computer Linguistics, 2002, pp.\u00a0113\u2013124.","DOI":"10.3115\/1118121.1118137"},{"key":"10.3233\/AIC-220147_ref38","doi-asserted-by":"crossref","unstructured":"O.\u00a0Lemon and O.\u00a0Pietquin, Machine learning for spoken dialogue systems, in: INTERSPEECH, ISCA, 2007, pp.\u00a02685\u20132688.","DOI":"10.21437\/Interspeech.2007-705"},{"key":"10.3233\/AIC-220147_ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.alvr-1.7"},{"key":"10.3233\/AIC-220147_ref42","unstructured":"D.\u00a0Massiceti, P.K.\u00a0Dokania, N.\u00a0Siddharth and P.H.S.\u00a0Torr, Visual dialogue without vision or dialogue, in: proceedings of CRACT workshop at NeurIPS 2018, 2019."},{"key":"10.3233\/AIC-220147_ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1537"},{"key":"10.3233\/AIC-220147_ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-2811"},{"key":"10.3233\/AIC-220147_ref45","doi-asserted-by":"crossref","unstructured":"J.\u00a0Novikova, O.\u00a0Dusek, A.C.\u00a0Curry and V.\u00a0Rieser, Why we need new evaluation metrics for NLG, in: EMNLP, 2017.","DOI":"10.18653\/v1\/D17-1238"},{"key":"10.3233\/AIC-220147_ref46","doi-asserted-by":"crossref","unstructured":"J.\u00a0Novikova, O.\u00a0Lemon and V.\u00a0Rieser, Crowd-sourcing NLG data: Pictures elicit better data, in: Proceedings of INLG, 2016, http:\/\/arxiv.org\/abs\/1608.00339.","DOI":"10.18653\/v1\/W16-6644"},{"key":"10.3233\/AIC-220147_ref48","doi-asserted-by":"crossref","unstructured":"J.\u00a0Part, D.\u00a0Hernandez-Garcia, Y.\u00a0Yu, N.\u00a0Gunson, C.\u00a0Dondrup and O.\u00a0Lemon, Towards visual dialogue for human-robot interaction (demonstration), in: Human-Robot Interaction (HRI), 2021.","DOI":"10.1145\/3434074.3447278"},{"key":"10.3233\/AIC-220147_ref49","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1017\/S0269888912000343","article-title":"A survey on metrics for the evaluation of user simulations","volume":"28","author":"Pietquin","year":"2012","journal-title":"The Knowledge Engineering Review"},{"issue":"1","key":"10.3233\/AIC-220147_ref50","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1017\/S1351324908004907","article-title":"Does this list contain what you were searching for?: Learning adaptive dialogue strategies for interactive question answering","volume":"15","author":"Rieser","year":"2008","journal-title":"Natural Language Engineering"},{"key":"10.3233\/AIC-220147_ref51","doi-asserted-by":"crossref","unstructured":"V.\u00a0Rieser and O.\u00a0Lemon, Reinforcement Learning for Adaptive Dialogue Systems, 1st edn, Springer, 2011.","DOI":"10.1007\/978-3-642-24942-6_1"},{"issue":"1","key":"10.3233\/AIC-220147_ref52","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1162\/coli_a_00038","article-title":"Learning and evaluation of dialogue strategies for new applications: Empirical methods for optimization from small data sets","volume":"37","author":"Rieser","year":"2011","journal-title":"Computational Linguistics"},{"issue":"5","key":"10.3233\/AIC-220147_ref53","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1109\/TASL.2014.2315271","article-title":"Natural language generation as incremental planning under uncertainty: Adaptive information presentation for statistical dialogue systems","volume":"22","author":"Rieser","year":"2014","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"10.3233\/AIC-220147_ref55","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1512.05742"},{"key":"10.3233\/AIC-220147_ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5701"},{"key":"10.3233\/AIC-220147_ref58","doi-asserted-by":"crossref","unstructured":"I.\u00a0Shalyminov, S.\u00a0Lee, A.\u00a0Eshghi and O.\u00a0Lemon, Data-efficient goal-oriented conversation with dialogue knowledge transfer networks, in: EMNLP, 2019.","DOI":"10.18653\/v1\/D19-1183"},{"key":"10.3233\/AIC-220147_ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5904"},{"key":"10.3233\/AIC-220147_ref60","doi-asserted-by":"crossref","unstructured":"W.\u00a0Shi, K.\u00a0Qian, X.\u00a0Wang and Z.\u00a0Yu, How to build user simulators to train RL-based dialog systems, in: Proceedngs of EMNLP, 2019.","DOI":"10.18653\/v1\/D19-1206"},{"key":"10.3233\/AIC-220147_ref61","doi-asserted-by":"crossref","unstructured":"A.\u00a0Suglia, Y.\u00a0Bisk, I.\u00a0Konstas, A.\u00a0Vergari, E.\u00a0Bastianelli, A.\u00a0Vanzo and O.\u00a0Lemon, An empirical study on the generalization power of neural representations learned via visual guessing games, in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Association for Computational Linguistics, 2021, pp.\u00a02135\u20132144, https:\/\/aclanthology.org\/2021.eacl-main.183.","DOI":"10.18653\/v1\/2021.eacl-main.183"},{"key":"10.3233\/AIC-220147_ref63","doi-asserted-by":"crossref","unstructured":"A.\u00a0Suglia, B.\u00a0Hemanthage, M.\u00a0Nikandrou, G.\u00a0Pantazopoulos, A.\u00a0Parekh, C.G.\u00a0Arash Eshghi, I.\u00a0Konstas, O.\u00a0Lemon and V.\u00a0Rieser, Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments, in: Proceedings of SIGDIAL, 2022.","DOI":"10.18653\/v1\/2022.sigdial-1.62"},{"key":"10.3233\/AIC-220147_ref64","doi-asserted-by":"crossref","unstructured":"A.\u00a0Suglia, I.\u00a0Konstas, A.\u00a0Vanzo, E.\u00a0Bastianelli, D.\u00a0Elliott, S.\u00a0Frank and O.\u00a0Lemon, CompGuessWhat?!: A multi-task evaluation framework for grounded language learning, in: Proceedings of ACL, 2020.","DOI":"10.18653\/v1\/2020.acl-main.682"},{"key":"10.3233\/AIC-220147_ref65","doi-asserted-by":"crossref","unstructured":"A.\u00a0Suglia, A.\u00a0Vergari, I.\u00a0Konstas, Y.\u00a0Bisk, E.\u00a0Bastianelli, A.\u00a0Vanzo and O.\u00a0Lemon, Imagining grounded conceptual representations from perceptual information in situated guessing games, in: Proceedings of COLING, 2020.","DOI":"10.18653\/v1\/2020.coling-main.95"},{"key":"10.3233\/AIC-220147_ref66","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2205.06907"},{"key":"10.3233\/AIC-220147_ref67","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5931"},{"key":"10.3233\/AIC-220147_ref68","unstructured":"Z.\u00a0Wang and O.\u00a0Lemon, A simple and generic belief tracking mechanism for the dialogue state tracking challenge: On the believability of observed information, in: Proc. SIGDIAL, 2013."},{"issue":"1","key":"10.3233\/AIC-220147_ref69","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/365153.365168","article-title":"ELIZA\u00a0\u2013 a computer program for the study of natural language communication between man and machine","volume":"9","author":"Weizenbaum","year":"1966","journal-title":"Commun. ACM"},{"key":"10.3233\/AIC-220147_ref70","doi-asserted-by":"publisher","first-page":"4","DOI":"10.5087\/dad.2016.301","article-title":"The dialog state tracking challenge series: A review","volume":"7","author":"Williams","year":"2016","journal-title":"Dialogue Discourse"},{"key":"10.3233\/AIC-220147_ref71","doi-asserted-by":"crossref","unstructured":"X.\u00a0Xu, O.\u00a0Dusek, I.\u00a0Konstas and V.\u00a0Rieser, Better conversations by modeling, filtering, and optimizing for coherence and diversity, in: EMNLP, 2018.","DOI":"10.18653\/v1\/D18-1432"},{"key":"10.3233\/AIC-220147_ref72","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.455"},{"key":"10.3233\/AIC-220147_ref73","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.113"},{"key":"10.3233\/AIC-220147_ref74","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2225812"},{"key":"10.3233\/AIC-220147_ref75","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w17-2802"},{"key":"10.3233\/AIC-220147_ref76","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w17-2001"},{"key":"10.3233\/AIC-220147_ref77","unstructured":"S.\u00a0Zarrie\u00df, J.\u00a0Hough, C.\u00a0Kennington, R.\u00a0Manuvinakurike, D.\u00a0DeVault, R.\u00a0Fern\u00e1ndez and D.\u00a0Schlangen, PentoRef: A corpus of spoken references in task-oriented dialogues, in: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC\u201916), European Language Resources Association (ELRA), Portoro\u017e, Slovenia, 2016, pp.\u00a0125\u2013131, https:\/\/aclanthology.org\/L16-1019."}],"container-title":["AI Communications"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/AIC-220147","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T10:08:11Z","timestamp":1733738891000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/AIC-220147"}},"subtitle":["Research directions at the Interaction Lab"],"editor":[{"given":"Stefano V.","family":"Albrecht","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Woolridge","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,9,30]]},"references-count":68,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/aic-220147","relation":{},"ISSN":["1875-8452","0921-7126"],"issn-type":[{"type":"electronic","value":"1875-8452"},{"type":"print","value":"0921-7126"}],"subject":[],"published":{"date-parts":[[2022,9,30]]}}}