Scholar
David Poole
Google Scholar ID: CeWswygAAAAJ
Professor of Computer Science, University of British Columbia
Citations & Impact
Citations
5,434
H-index
27
i10-index
56
Publications
20
Co-authors
49
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the Canadian AI Association (CAIAC) Lifetime Achievement Award in 2013
- Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
- Fellow of CAIAC
- Co-authored 'Artificial Intelligence: Foundations of Computational Agents' (Cambridge University Press, 2010; 2nd ed. 2017; 3rd ed. 2023), with full text available online
- Co-authored 'Introduction to Lifted Inference' (MIT Press, 2021)
- Invited speaker at KR 2020
- Published extensively on probabilistic logic, relational learning, and semantic science
Research Experience
- Faculty member at the University of British Columbia (UBC) since 1988
- Leverhulme Trust Visiting Professor at the University of Oxford during 2014–2015
- Former Chair of the Association for Uncertainty in Artificial Intelligence (AUAI)
- Developed AILog2 (formerly CILog), a logical reasoning system with explanation, declarative debugging, user interaction, abduction, and probabilistic reasoning
- Co-developed AIPython, implementing algorithms from his AI textbook
Background
- Professor Emeritus in the Department of Computer Science, University of British Columbia (UBC)
- Faculty member at UBC since 1988; Full Professor from 1998 to 2024
- Main research interests: artificial intelligence, knowledge representation, reasoning under uncertainty, computational logic, diagnosis, probabilistic argumentation systems, reasoning about actions, decision-theoretic planning, intelligent agents, semantic science, and preference elicitation
- Currently focused on statistical relational AI, relational learning, existential uncertainty, lifted inference, Semantic Science, and applications in spatial decision making, medicine, and computational sustainability
- Interested in how agents should act based on beliefs, abilities, and preferences, and how to acquire and use information effectively for better decision-making
