Context-based and explainable decision making with argumentation
Argumentation-based approaches to decision making have gained considerable research interest, due to their ability to select and justify decisions. In order to make better decisions, context is a key piece of information that needs to be considered. However, most existing argumentation-based models...
| Главные авторы: | , , , , , |
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| Другие авторы: | |
| Формат: | Conference Paper |
| Язык: | English |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | https://hdl.handle.net/10356/88889 http://hdl.handle.net/10220/49589 |
| _version_ | 1826122444274925568 |
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| author | Zeng, Zhiwei Fan, Xiuyi Miao, Chunyan Leung, Cyril Chin, Jing Jih Ong, Yew Soon |
| author2 | Interdisciplinary Graduate School (IGS) |
| author_facet | Interdisciplinary Graduate School (IGS) Zeng, Zhiwei Fan, Xiuyi Miao, Chunyan Leung, Cyril Chin, Jing Jih Ong, Yew Soon |
| author_sort | Zeng, Zhiwei |
| collection | NTU |
| description | Argumentation-based approaches to decision making have gained considerable research interest, due to their ability to select and justify decisions. In order to make better decisions, context is a key piece of information that needs to be considered. However, most existing argumentation-based models and frameworks have not modelled or reasoned with context explicitly. In this paper, we present a new argumentation-based approach for making context-based and explainable decisions. We propose a graphical representation for modelling decision problems involving varying contexts, Decision Graphs with Context (DGC), and a reasoning mechanism for making context-based decisions which relies on the Assumption-based Argumentation formalism. Based on these constructs, we introduce two types of explanations, argument explanation and context explanation,
identifying the reasons for the decisions made from an argument-view and a context-view respectively. |
| first_indexed | 2024-10-01T05:48:35Z |
| format | Conference Paper |
| id | ntu-10356/88889 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:48:35Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/888892020-11-01T04:43:38Z Context-based and explainable decision making with argumentation Zeng, Zhiwei Fan, Xiuyi Miao, Chunyan Leung, Cyril Chin, Jing Jih Ong, Yew Soon Interdisciplinary Graduate School (IGS) Lee Kong Chian School of Medicine (LKCMedicine) Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) Alibaba-NTU Singapore Joint Research Institute Decision Making Context-awareness Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Argumentation-based approaches to decision making have gained considerable research interest, due to their ability to select and justify decisions. In order to make better decisions, context is a key piece of information that needs to be considered. However, most existing argumentation-based models and frameworks have not modelled or reasoned with context explicitly. In this paper, we present a new argumentation-based approach for making context-based and explainable decisions. We propose a graphical representation for modelling decision problems involving varying contexts, Decision Graphs with Context (DGC), and a reasoning mechanism for making context-based decisions which relies on the Assumption-based Argumentation formalism. Based on these constructs, we introduce two types of explanations, argument explanation and context explanation, identifying the reasons for the decisions made from an argument-view and a context-view respectively. NRF (Natl Research Foundation, S’pore) MOH (Min. of Health, S’pore) Published version 2019-08-08T06:46:06Z 2019-12-06T17:13:08Z 2019-08-08T06:46:06Z 2019-12-06T17:13:08Z 2018 Conference Paper Zeng, Z., Fan, X., Miao, C., Leung, C., Chin, J. J., & Ong, Y. S. (2018). Context-based and explainable decision making with argumentation. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). https://hdl.handle.net/10356/88889 http://hdl.handle.net/10220/49589 en © 2018 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). All rights reserved. This paper was published in Proceedings of 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) and is made available with permission of International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 9 p. application/pdf |
| spellingShingle | Decision Making Context-awareness Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Zeng, Zhiwei Fan, Xiuyi Miao, Chunyan Leung, Cyril Chin, Jing Jih Ong, Yew Soon Context-based and explainable decision making with argumentation |
| title | Context-based and explainable decision making with argumentation |
| title_full | Context-based and explainable decision making with argumentation |
| title_fullStr | Context-based and explainable decision making with argumentation |
| title_full_unstemmed | Context-based and explainable decision making with argumentation |
| title_short | Context-based and explainable decision making with argumentation |
| title_sort | context based and explainable decision making with argumentation |
| topic | Decision Making Context-awareness Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/88889 http://hdl.handle.net/10220/49589 |
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