{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:36:29Z","timestamp":1744205789590},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Argumentation has gained traction as a formalism to make more transparent decisions and provide formal explanations recently. In this paper, we present an argumentation-based approach to decision making that can support modelling and automated reasoning about complex qualitative preferences and offer dialogical explanations for the decisions made. We first propose Qualitative Preference Decision Frameworks (QPDFs). In a QPDF, we use contextual priority to represent the relative importance of combinations of goals in different contexts and define associated strategies for deriving decision preferences based on prioritized goal combinations. To automate the decision computation, we map QPDFs to Assumption-based Argumentation (ABA) frameworks so that we can utilize existing ABA argumentative engines for our implementation. We implemented our approach for two tasks, diagnostics and prognostics of Alzheimer's Disease (AD), and evaluated it with real-world datasets. For each task, one of our models achieves the highest accuracy and good precision and recall for all classes compared to common machine learning models. Moreover, we study how to formalize argumentation dialogues that give contrastive, focused and selected explanations for the most preferred decisions selected in given contexts.<\/jats:p>","DOI":"10.24963\/kr.2020\/84","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T04:39:16Z","timestamp":1597898356000},"page":"816-826","source":"Crossref","is-referenced-by-count":2,"title":["Explainable and Argumentation-based Decision Making with Qualitative Preferences for Diagnostics and Prognostics of Alzheimer's Disease"],"prefix":"10.24963","author":[{"given":"Zhiwei","family":"Zeng","sequence":"first","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Zhiqi","family":"Shen","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Benny Toh Hsiang","family":"Tan","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Jing Jih","family":"Chin","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]},{"given":"Cyril","family":"Leung","sequence":"additional","affiliation":[{"name":"The University of British Columbia"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group DAMO Academy AI Center"}]},{"given":"Ying","family":"Chi","sequence":"additional","affiliation":[{"name":"Alibaba Group DAMO Academy AI Center"}]},{"given":"Chunyan","family":"Miao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}]}],"member":"10584","event":{"number":"17","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Association for Logic Programming","Center for Perspicuous Computing","European Association for Artificial Intelligence","Ontopic - The Virtual Knowledge Graph Company"],"acronym":"KR-2020","name":"17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}","start":{"date-parts":[[2020,9,12]]},"theme":"Artificial Intelligence","location":"Rhodes, Greece","end":{"date-parts":[[2020,9,18]]}},"container-title":["Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T21:18:50Z","timestamp":1604611130000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2020\/84"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2020\/84","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}