{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:43:50Z","timestamp":1743140630515,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031635359"},{"type":"electronic","value":"9783031635366"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:00:00Z","timestamp":1721174400000},"content-version":"vor","delay-in-days":198,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, we examine algorithms that utilize factor graphs from Bayesian Belief Networks to generate and evaluate arguments. We assess their strengths and weaknesses, which leads to the creation of our improved algorithm that rectifies the issues that we identified. Our approach includes applying the original and modified algorithms to previously known networks to pose challenges in generating robust arguments for humans and computers. Our findings reveal significant improvements in the creation of more robust arguments. Moreover, we delve into the dynamics of argument interaction, offering detailed insight into the algorithms\u2019 practical efficacy.<\/jats:p>","DOI":"10.1007\/978-3-031-63536-6_15","type":"book-chapter","created":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T05:01:50Z","timestamp":1721106110000},"page":"253-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Argument Generation Using Bayesian Networks"],"prefix":"10.1007","author":[{"given":"Yuan","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Fuchs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anita","family":"Keshmirian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"15_CR1","unstructured":"Acar, U.A., Ihler, A., Mettu, R., S\u00fcmer, O.: Adaptive Bayesian inference. Neural Information Processing Systems (NIPS), vol. 10, pp. 2981562\u20132981743 (2007)"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Cruz, N., et al.: Widening access to Bayesian problem-solving. Front. Psychol. 11, 660 (2020)","DOI":"10.3389\/fpsyg.2020.00660"},{"key":"15_CR3","unstructured":"Dewitt, S., Lagnado, D., Fenton, N.: Updating prior beliefs based on ambiguous evidence. In: COGSCI2018: Changing Minds, pp. 2047-2052 (2018)"},{"key":"15_CR4","volume-title":"Probabilistic Graphical Models: Principles And Techniques","author":"D Koller","year":"2009","unstructured":"Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles And Techniques. MIT Press, Cambridge, MA (2009)"},{"key":"15_CR5","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198522195.001.0001","volume-title":"Graphical Models","author":"SL Lauritzen","year":"1996","unstructured":"Lauritzen, S.L.: Graphical Models, vol. 17. Clarendon Press, Oxford (1996)"},{"key":"15_CR6","unstructured":"Pilditch, T.D., Fries, A., Lagnado, D.A.: Deception in evidential reasoning: Willful deceit or honest mistake? In Proceedings of the CogSci, pp. 931-937 (2019)"},{"key":"15_CR7","unstructured":"Sevilla, J.: Finding, Scoring, and Explaining Arguments in Bayesian Networks. arXiv preprint arXiv:2112.00799. https:\/\/arxiv.org\/abs\/2112.00799 (2021)"},{"key":"15_CR8","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1016\/j.ijar.2016.09.002","volume":"80","author":"ST Timmer","year":"2017","unstructured":"Timmer, S.T., Meyer, J.-J.C., Prakken, H., Renooij, S., Verheij, B.: A two-phase method for extracting explanatory arguments from Bayesian networks. Int. J. Approximate Reasoning 80, 475\u2013494 (2017)","journal-title":"Int. J. Approximate Reasoning"},{"issue":"2","key":"15_CR9","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s10506-012-9121-z","volume":"20","author":"J Keppens","year":"2012","unstructured":"Keppens, J.: Argument diagram extraction from evidential Bayesian networks. Artif. Intell. Law 20(2), 109\u2013143 (2012)","journal-title":"Artif. Intell. Law"}],"container-title":["Lecture Notes in Computer Science","Robust Argumentation Machines"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-63536-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T05:04:47Z","timestamp":1721106287000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-63536-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031635359","9783031635366"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-63536-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"17 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RATIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Advances in Robust Argumentation Machines","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bielefeld","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ratio2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ratio.sc.cit-ec.uni-bielefeld.de\/de\/home\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}