Automated Reasoning for City Infrastructure Maintenance Decision Support

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

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.
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