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dc.contributor.authorMiao, Chunyanen
dc.contributor.authorLeung, Cyrilen
dc.contributor.authorShen, Zhiqien
dc.contributor.authorChin, Jing Jihen
dc.contributor.authorZeng, Zhiweien
dc.identifier.citationZeng, Z., Miao, C., Leung, C., Shen, Z., & Chin, J. J. (2019). Computing argumentative explanations in bipolar argumentation frameworks. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 3310079-10080. doi:10.1609/aaai.v33i01.330110079en
dc.description.abstractThe process of arguing is also the process of justifying and explaining. Transparent reasoning process endows argumentation good explainability. Recently, more research efforts have been devoted to realizing the explanatory power of argumentation in unipolar argumentation frameworks. In addition to the attack relation, bipolar frameworks consider the support relation, which brings greater expressibility but also complexity. It is worth exploring how the interactions encompassed in the support relation contribute to the arguing process and how to capture them in explanations. In this paper, we propose a “stronger” notion of defence and a new bipolar admissibility semantics, which are defined based on both the attack and the support relations, and use them to formalize two types of explanations, namely concise and strong explanations. We then present complete and sound processes for computing explanations by constructing bipolar dispute trees.en
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en
dc.description.sponsorshipMOH (Min. of Health, S’pore)en
dc.format.extent2 p.en
dc.rights© 2019 Association for the Advancement of Artificial Intelligence (AAAI). All rights reserved. This paper was published in The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) and is made available with permission of Association for the Advancement of Artificial Intelligence (AAAI).en
dc.subjectExplainable Artificial Intelligenceen
dc.subjectSocial sciences::Sociologyen
dc.titleComputing argumentative explanations in bipolar argumentation frameworksen
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en
dc.contributor.conferenceThe Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)en
dc.contributor.organizationJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY)en
dc.description.versionAccepted versionen
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