Wei, L, Magee, DR orcid.org/0000-0003-2170-3103, Dimitrova, V orcid.org/0000-0002-7001-0891 et al. (5 more authors) (2018) Automated Reasoning for City Infrastructure Maintenance Decision Support. In: Lang, J, (ed.) Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). IJCAI-ECAI-18, the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI), 13-19 Jul 2018, Stockholm, Sweden. IJCAI , pp. 5877-5879. ISBN 978-0-9992411-2-7
Abstract
We present an interactive decision support system for assisting city infrastructure inter-asset management. It combines real-time site specific data retrieval, a knowledge base co-created with domain experts and an inference engine capable of predicting potential consequences and risks resulting from the available data and knowledge. The system can give explanations of each consequence, cope with incomplete and uncertain data by making assumptions about what might be the worst case scenario, and making suggestions for further investigation. This demo presents multiple real-world scenarios, and demonstrates how modifying assumptions (parameter values) can lead to different consequences.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Knowledge Representation, Reasoning, and Logic: Reasoning about Knowlege and Belief Uncertainty in AI: Uncertainty in AI Multidisciplinary Topics and Applications: Multidisciplinary Topics and Applications |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K021699/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 May 2018 11:04 |
Last Modified: | 17 Jan 2019 15:55 |
Status: | Published |
Publisher: | IJCAI |
Identification Number: | 10.24963/ijcai.2018/868 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130595 |