Automated Reasoning for City Infrastructure Maintenance Decision Support

Lijun Wei, Derek R. Magee, Vania Dimitrova, Barry Clarke, Heshan Du, Quratul-ain Mahesar, Kareem Al Ammari, Anthony G. Cohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18
EditorsJérôme Lang
PublisherInternational Joint Conferences on Artificial Intelligence Organization
Number of pages3
ISBN (Electronic)978-0-9992411-2-7
Publication statusPublished - 13 Jul 2018
Event27th International Joint Conference on Artificial Intelligence: IJCAI 2018 - Stockholmsmässan, Stockholm, Sweden
Duration: 13 Jul 201819 Jul 2018


Conference27th International Joint Conference on Artificial Intelligence
Abbreviated titleIJCAI 2018
Internet address


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