{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:36:55Z","timestamp":1782315415913,"version":"3.54.5"},"publisher-location":"Cham","reference-count":52,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031820380","type":"print"},{"value":"9783031820397","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-82039-7_8","type":"book-chapter","created":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T09:09:37Z","timestamp":1740992977000},"page":"115-131","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Extracting Norms from\u00a0Contracts Via ChatGPT"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1388-6122","authenticated-orcid":false,"given":"Amanul","family":"Haque","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3599-3893","authenticated-orcid":false,"given":"Munindar P.","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Aires, J.P., Meneguzzi, F.: Norm conflict identification using a convolutional neural network. In: International Workshops on Coordination, Organizations, Institutions, Norms, and Ethics (COINE) for Governance of Multi-Agent Systems XIII, LNCS, vol. 12298, pp. 3\u201319, Springer (2020). https:\/\/doi.org\/10.1007\/978-3-030-72376-7_1","DOI":"10.1007\/978-3-030-72376-7_1"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"AlAfnan, M.A., Dishari, S., Jovic, M., Lomidze, K.: ChatGPT as an educational tool: opportunities, challenges, and recommendations for communication, business writing, and composition courses. J. Artif. Intell. Technol. 3(2), 60\u201368 (2023). https:\/\/doi.org\/10.37965\/jait.2023.0184","DOI":"10.37965\/jait.2023.0184"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Ali, S.R., Dobbs, T.D., Hutchings, H.A., Whitaker, I.S.: Using ChatGPT to write patient clinic letters. Lancet Digital Health 5(4), e179\u2013e181 (2023). https:\/\/doi.org\/10.1016\/S2589-7500(23)00048-1","DOI":"10.1016\/S2589-7500(23)00048-1"},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Baidoo-Anu, D., Owusu\u00a0Ansah, L.: Education in the era of generative artificial intelligence (AI): understanding the potential benefits of ChatGPT in promoting teaching and learning. J. AI 7(1), 52\u201362 (2023). https:\/\/doi.org\/10.61969\/jai.1337500","DOI":"10.61969\/jai.1337500"},{"key":"8_CR5","unstructured":"Bubeck, S., et al.: Sparks of artificial general intelligence: early experiments with GPT-4. arXiv preprint arXiv:2303.12712 (2023)"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Chalkidis, I., Androutsopoulos, I., Michos, A.: Obligation and prohibition extraction using hierarchical RNNs. In: Gurevych, Iryna and Miyao, Yusuke (ed.) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 254\u2013259, Association for Computational Linguistics, Melbourne, Australia (2018). https:\/\/doi.org\/10.18653\/v1\/P18-2041","DOI":"10.18653\/v1\/P18-2041"},{"key":"8_CR7","unstructured":"Chalkidis, I., Fergadiotis, M., Malakasiotis, P., Androutsopoulos, I.: Neural contract element extraction revisited. In: Workshop on Document Intelligence at NeurIPS 2019 (2019). https:\/\/openreview.net\/forum?id=B1x6fa95UH"},{"key":"8_CR8","doi-asserted-by":"publisher","unstructured":"Chopra, A.K., Singh, M.P.: Custard: computing norm states over information stores. In: Proceedings of the 15th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), pp. 1096\u20131105, IFAAMAS, Singapore (2016). https:\/\/doi.org\/10.5555\/2936924.2937085","DOI":"10.5555\/2936924.2937085"},{"issue":"6","key":"8_CR9","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MIC.2021.3106835","volume":"25","author":"AK Chopra","year":"2021","unstructured":"Chopra, A.K., Singh, M.P.: Accountability as a foundation for requirements in sociotechnical systems. IEEE Internet Comput. (IC) 25(6), 33\u201341 (2021). https:\/\/doi.org\/10.1109\/MIC.2021.3106835","journal-title":"IEEE Internet Comput. (IC)"},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Christie V, S.H., Chopra, A.K., Singh, M.P.: Hercule: representing and reasoning about norms as a foundation for declarative contracts over blockchain. IEEE Internet Comput. (IC) 25(4), 67\u201375 (2021). https:\/\/doi.org\/10.1109\/MIC.2021.3080982","DOI":"10.1109\/MIC.2021.3080982"},{"issue":"3","key":"8_CR11","doi-asserted-by":"publisher","first-page":"99","DOI":"10.5860\/crln.84.3.99","volume":"84","author":"C Cox","year":"2023","unstructured":"Cox, C., Tzoc, E.: ChatGPT: implications for academic libraries. Coll. Res. Libr. News 84(3), 99 (2023). https:\/\/doi.org\/10.5860\/crln.84.3.99","journal-title":"Coll. Res. Libr. News"},{"key":"8_CR12","unstructured":"Curtotti, M., McCreath, E.: Corpus based classification of text in Australian contracts. In: Indurkhya, N., Zwarts, S. (eds.) Proceedings of the Australasian Language Technology Association Workshop 2010, pp. 18\u201326, Melbourne, Australia (2010). URL https:\/\/aclanthology.org\/U10-1005"},{"key":"8_CR13","doi-asserted-by":"publisher","unstructured":"D\u2019Agostini\u00a0Bueno, T.C., Von\u00a0Wangenheim, C.G., Da\u00a0Silva\u00a0Mattos, E., Hoeschl, H.C., Barcia, R.M.: Jurisconsulto: retrieval in jurisprudencial text bases using juridical terminology. In: Proceedings of the 7th International Conference on Artificial Intelligence and Law, pp. 147\u2013155. ICAIL, Association for Computing Machinery, New York, NY, USA (1999). https:\/\/doi.org\/10.1145\/323706.323789","DOI":"10.1145\/323706.323789"},{"key":"8_CR14","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 17th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol.\u00a01, pp. 4171\u20134186, Association for Computational Linguistics, Minneapolis, Minnesota (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"8_CR15","unstructured":"Gao, X., Singh, M.P.: Extracting normative relationships from business contracts. In: International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS, Paris, France, May 5-9, 2014, pp. 101\u2013108, IFAAMAS\/ACM (2014). http:\/\/dl.acm.org\/citation.cfm?id=2615751"},{"issue":"3","key":"8_CR16","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1109\/TSC.2013.21","volume":"7","author":"X Gao","year":"2014","unstructured":"Gao, X., Singh, M.P.: Mining contracts for business events and temporal constraints in service engagements. IEEE Trans. Serv. Comput. 7(3), 427\u2013439 (2014). https:\/\/doi.org\/10.1109\/TSC.2013.21","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"1","key":"8_CR17","doi-asserted-by":"publisher","first-page":"9","DOI":"10.5281\/zenodo.7644359","volume":"1","author":"AS George","year":"2023","unstructured":"George, A.S., George, A.S.H.: A review of ChatGPT AI\u2019s impact on several business sectors. Partners Univers. Int. Innovation J. 1(1), 9\u201323 (2023). https:\/\/doi.org\/10.5281\/zenodo.7644359","journal-title":"Partners Univers. Int. Innovation J."},{"key":"8_CR18","doi-asserted-by":"publisher","unstructured":"Hashmi, M.: A methodology for extracting legal norms from regulatory documents. In: 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop, pp. 41\u201350 (2015). https:\/\/doi.org\/10.1109\/EDOCW.2015.29","DOI":"10.1109\/EDOCW.2015.29"},{"key":"8_CR19","unstructured":"Hendrycks, D., Burns, C., Chen, A., Ball, S.: CUAD: an expert-annotated NLP dataset for legal contract review. In: Vanschoren, J., Yeung, S. (eds.) Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks, December 2021 (2021). https:\/\/datasets-benchmarks-proceedings.neurips.cc\/paper\/2021\/hash\/6ea9ab1baa0efb9e19094440c317e21b-Abstract-round1.html"},{"issue":"4","key":"8_CR20","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/S1473-3099(23)00113-5","volume":"23","author":"A Howard","year":"2023","unstructured":"Howard, A., Hope, W., Gerada, A.: ChatGPT and antimicrobial advice: the end of the consulting infection doctor? Lancet. Infect. Dis. 23(4), 405\u2013406 (2023)","journal-title":"Lancet. Infect. Dis."},{"key":"8_CR21","doi-asserted-by":"publisher","unstructured":"Jalil, S., Rafi, S., LaToza, T.D., Moran, K., Lam, W.: ChatGPT and software testing education: promises & perils. In: IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), pp. 4130\u20134137 (2023). https:\/\/doi.org\/10.1109\/ICSTW58534.2023.00078","DOI":"10.1109\/ICSTW58534.2023.00078"},{"key":"8_CR22","doi-asserted-by":"publisher","unstructured":"Kafal\u0131, \u00d6., Ajmeri, N., Singh, M.P.: Desen: specification of sociotechnical systems via patterns of regulation and control. ACM Trans. Softw. Eng. Methodol. (TOSEM) 29(1), 7:1\u20137:50 (2020). https:\/\/doi.org\/10.1145\/3365664","DOI":"10.1145\/3365664"},{"key":"8_CR23","doi-asserted-by":"publisher","unstructured":"Kampik, T., et al.: Governance of autonomous agents on the web: challenges and opportunities. ACM Trans. Internet Technol. (TOIT) 22(4), 104:1\u2013104:31 (2022). https:\/\/doi.org\/10.1145\/3507910","DOI":"10.1145\/3507910"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Kashefi, A., Mukerji, T.: ChatGPT for programming numerical methods. J. Mach. Learn. Model. Comput. 4(2), 1\u201374 (2023)","DOI":"10.1615\/JMachLearnModelComput.2023048492"},{"key":"8_CR25","doi-asserted-by":"publisher","unstructured":"Kasneci, E., et al.: ChatGPT for good? On opportunities and challenges of large language models for education. Learn. Individ. Differ. 103, 102274 (2023). https:\/\/doi.org\/10.1016\/j.lindif.2023.102274","DOI":"10.1016\/j.lindif.2023.102274"},{"key":"8_CR26","doi-asserted-by":"publisher","unstructured":"Khan, R.A., Jawaid, M., Khan, A.R., Sajjad, M.: ChatGPT - reshaping medical education and clinical management. Pak. J. Med. Sci. 39(2), 605\u2013607 (2023). https:\/\/doi.org\/10.12669\/pjms.39.2.7653","DOI":"10.12669\/pjms.39.2.7653"},{"key":"8_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/978-3-540-87877-3_13","volume-title":"Conceptual Modeling - ER 2008","author":"N Kiyavitskaya","year":"2008","unstructured":"Kiyavitskaya, N., et al.: Automating the extraction of rights and obligations for regulatory compliance. In: Li, Q., Spaccapietra, S., Yu, E., Oliv\u00e9, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 154\u2013168. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-87877-3_13"},{"key":"8_CR28","doi-asserted-by":"publisher","unstructured":"Koreeda, Y., Manning, C.: ContractNLI: a dataset for document-level natural language inference for contracts. In: Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 1907\u20131919. Association for Computational Linguistics, Punta Cana, Dominican Republic (2021). https:\/\/doi.org\/10.18653\/v1\/2021.findings-emnlp.164","DOI":"10.18653\/v1\/2021.findings-emnlp.164"},{"issue":"3","key":"8_CR29","doi-asserted-by":"publisher","first-page":"04019003","DOI":"10.1061\/(ASCE)CP.1943-5487.0000807","volume":"33","author":"J Lee","year":"2019","unstructured":"Lee, J., Yi, J.S., Son, J.: Development of automatic-extraction model of poisonous clauses in international construction contracts using rule-based NLP. J. Comput. Civ. Eng. 33(3), 04019003 (2019). https:\/\/doi.org\/10.1061\/(ASCE)CP.1943-5487.0000807","journal-title":"J. Comput. Civ. Eng."},{"key":"8_CR30","unstructured":"Leivaditi, S., Rossi, J., Kanoulas, E.: A benchmark for lease contract review. arXiv preprint arXiv:2010.10386 (2020)"},{"key":"8_CR31","doi-asserted-by":"publisher","unstructured":"Lippi, M., et al.: Automated detection of unfair clauses in online consumer contracts. In: Legal Knowledge and Information Systems - JURIX 2017: The 13th Annual Conference, Luxembourg, 13-15, Frontiers in Artificial Intelligence and Applications, vol. 302, pp. 145\u2013154. IOS Press (2017). https:\/\/doi.org\/10.3233\/978-1-61499-838-9-145","DOI":"10.3233\/978-1-61499-838-9-145"},{"key":"8_CR32","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"key":"8_CR33","doi-asserted-by":"publisher","unstructured":"Mahala, G., Kafal\u0131, \u00d6., Dam, H.K., Ghose, A., Singh, M.P.: A normative approach for resilient multiagent systems. JAAMAS 37(2), 46:1\u201346:40 (2023). https:\/\/doi.org\/10.1007\/s10458-023-09627-4","DOI":"10.1007\/s10458-023-09627-4"},{"key":"8_CR34","doi-asserted-by":"publisher","unstructured":"Mamakas, D., Tsotsi, P., Androutsopoulos, I., Chalkidis, I.: Processing long legal documents with pre-trained transformers: modding LegalBERT and longformer. In: Proceedings of the Natural Legal Language Processing Workshop 2022, pp. 130\u2013142. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (Hybrid) (2022). https:\/\/doi.org\/10.18653\/v1\/2022.nllp-1.11","DOI":"10.18653\/v1\/2022.nllp-1.11"},{"key":"8_CR35","unstructured":"Radford, A., Narasimhan, K., Salimans, T., Sutskever, I., et\u00a0al.: Improving language understanding by generative pre-training. OpenAI (2018). https:\/\/www.cs.ubc.ca\/~amuham01\/LING530\/papers\/radford2018improving.pdf"},{"key":"8_CR36","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et\u00a0al.: Language models are unsupervised multitask learners, Technical report, Open AI (2019). https:\/\/insightcivic.s3.us-east-1.amazonaws.com\/language-models.pdf"},{"key":"8_CR37","doi-asserted-by":"publisher","unstructured":"Rajpurkar, P., Jia, R., Liang, P.: Know what you don\u2019t know: unanswerable questions for SQuAD. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 784\u2013789. Association for Computational Linguistics, Melbourne, Australia (2018). https:\/\/doi.org\/10.18653\/v1\/P18-2124","DOI":"10.18653\/v1\/P18-2124"},{"key":"8_CR38","doi-asserted-by":"publisher","unstructured":"Rajpurkar, P., Zhang, J., Lopyrev, K., Liang, P.: SQuAD: 100,000+ questions for machine comprehension of text. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 2383\u20132392. Association for Computational Linguistics, Austin, Texas (2016). https:\/\/doi.org\/10.18653\/v1\/D16-1264","DOI":"10.18653\/v1\/D16-1264"},{"key":"8_CR39","doi-asserted-by":"publisher","unstructured":"Sainani, A., Anish, P.R., Joshi, V., Ghaisas, S.: Extracting and classifying requirements from software engineering contracts. In: IEEE 28th International Requirements Engineering Conference (RE), pp. 147\u2013157 (2020). https:\/\/doi.org\/10.1109\/RE48521.2020.00026","DOI":"10.1109\/RE48521.2020.00026"},{"key":"8_CR40","doi-asserted-by":"publisher","unstructured":"Sallam, M.: ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. Healthcare 11(6) (2023). https:\/\/doi.org\/10.3390\/healthcare11060887","DOI":"10.3390\/healthcare11060887"},{"key":"8_CR41","doi-asserted-by":"publisher","unstructured":"Sharifi, S., Parvizimosaed, A., Amyot, D., Logrippo, L., Mylopoulos, J.: Symboleo: towards a specification language for legal contracts. In: 2020 IEEE 28th International Requirements Engineering Conference (RE), pp. 364\u2013369 (2020). https:\/\/doi.org\/10.1109\/RE48521.2020.00049","DOI":"10.1109\/RE48521.2020.00049"},{"key":"8_CR42","doi-asserted-by":"publisher","unstructured":"Singh, M.P.: Norms as a basis for governing sociotechnical systems. ACM Trans. Intell. Syst. Technol. (TIST) 5(1), 21:1\u201321:23 (2013). https:\/\/doi.org\/10.1145\/2542182.2542203","DOI":"10.1145\/2542182.2542203"},{"issue":"1","key":"8_CR43","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/MC.2019.2947372","volume":"53","author":"MP Singh","year":"2020","unstructured":"Singh, M.P., Chopra, A.K.: Computational governance and violable contracts for blockchain applications. IEEE Comput. 53(1), 53\u201362 (2020). https:\/\/doi.org\/10.1109\/MC.2019.2947372","journal-title":"IEEE Comput."},{"issue":"4","key":"8_CR44","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/MIC.2021.3083295","volume":"25","author":"MP Singh","year":"2021","unstructured":"Singh, M.P., Gao, X.: A gray box conceptual model for accountability and ethics in business contracts. IEEE Internet Comput. (IC) 25(4), 13\u201319 (2021). https:\/\/doi.org\/10.1109\/MIC.2021.3083295","journal-title":"IEEE Internet Comput. (IC)"},{"issue":"3","key":"8_CR45","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/S10664-020-09933-5","volume":"26","author":"A Sleimi","year":"2021","unstructured":"Sleimi, A., Sannier, N., Sabetzadeh, M., Briand, L.C., Ceci, M., Dann, J.: An automated framework for the extraction of semantic legal metadata from legal texts. Empir. Softw. Eng. 26(3), 43 (2021). https:\/\/doi.org\/10.1007\/S10664-020-09933-5","journal-title":"Empir. Softw. Eng."},{"key":"8_CR46","doi-asserted-by":"publisher","unstructured":"Taecharungroj, V.: What can ChatGPT do? Analyzing early reactions to the innovative AI chatbot on twitter. Big Data Cogn. Comput. 7(1) (2023). https:\/\/doi.org\/10.3390\/bdcc7010035","DOI":"10.3390\/bdcc7010035"},{"key":"8_CR47","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Guyon, I., et al. (eds.) Advances in Neural Information Processing Systems, vol.\u00a030. Curran Associates, Inc., Long Beach, CA (2017). https:\/\/proceedings.neurips.cc\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"key":"8_CR48","volume-title":"International Library of Philosophy and Scientific Method","author":"GH Von Wright","year":"1963","unstructured":"Von Wright, G.H.: Norm and action: a logical enquiry. In: International Library of Philosophy and Scientific Method. Humanities Press, New York (1963)"},{"key":"8_CR49","doi-asserted-by":"publisher","unstructured":"Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., Bowman, S.: GLUE: a multi-task benchmark and analysis platform for natural language understanding. In: Proceedings of the EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pp. 353\u2013355. Association for Computational Linguistics, Brussels, Belgium (2018). https:\/\/doi.org\/10.18653\/v1\/W18-5446","DOI":"10.18653\/v1\/W18-5446"},{"key":"8_CR50","doi-asserted-by":"publisher","unstructured":"Williams, A., Nangia, N., Bowman, S.: A broad-coverage challenge corpus for sentence understanding through inference. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pp. 1112\u20131122. Association for Computational Linguistics, New Orleans, Louisiana (2018). https:\/\/doi.org\/10.18653\/v1\/N18-1101","DOI":"10.18653\/v1\/N18-1101"},{"key":"8_CR51","doi-asserted-by":"publisher","unstructured":"Xu, W., Deng, Y., Lei, W., Zhao, W., Chua, T.S., Lam, W.: ConReader: exploring implicit relations in contracts for contract clause extraction. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 2581\u20132594. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (2022). https:\/\/doi.org\/10.18653\/v1\/2022.emnlp-main.166","DOI":"10.18653\/v1\/2022.emnlp-main.166"},{"key":"8_CR52","unstructured":"Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R.R., Le, Q.V.: XLNet: generalized autoregressive pretraining for language understanding. In: Wallach, H., Larochelle, H., Beygelzimer, A., d\u2019Alch\u00e9-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol.\u00a032. Curran Associates, Inc., Vancouver (2019). https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/dc6a7e655d7e5840e66733e9ee67cc69-Paper.pdf"}],"container-title":["Lecture Notes in Computer Science","Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-82039-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T09:22:18Z","timestamp":1740993738000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-82039-7_8"}},"subtitle":["Opportunities and Challenges"],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031820380","9783031820397"],"references-count":52,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-82039-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"4 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"COINE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Auckland","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"coin2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/coin-workshop.github.io\/coine-2024-auckland\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}