David Poole
David Poole
Professor of Computer Science, University of British Columbia
Verified email at cs.ubc.ca - Homepage
TitleCited byYear
CP-nets: A tool for representing and reasoning withconditional ceteris paribus preference statements
C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole
Journal of artificial intelligence research 21, 135-191, 2004
A logical framework for default reasoning
D Poole
Artificial intelligence 36 (1), 27-47, 1988
Computational intelligence
DI Poole, RG Goebel, AK Mackworth
Oxford University Press, 1998
Probabilistic Horn abduction and Bayesian networks
D Poole
Artificial intelligence 64 (1), 81-129, 1993
Artificial Intelligence: foundations of computational agents
DL Poole, AK Mackworth
Cambridge University Press, 2010
Exploiting causal independence in Bayesian network inference
NL Zhang, D Poole
Journal of Artificial Intelligence Research 5, 301-328, 1996
First-order probabilistic inference
D Poole
IJCAI 3, 985-991, 2003
Theorist: A logical reasoning system for defaults and diagnosis
D Poole, R Goebel, R Aleliunas
The Knowledge Frontier, 331-352, 1987
The independent choice logic for modelling multiple agents under uncertainty
D Poole
Artificial intelligence 94 (1-2), 7-56, 1997
A simple approach to Bayesian network computations
NL Zhang, D Poole
Proceedings of the Biennial Conference-Canadian Society for Computational …, 1994
Reasoning with conditional ceteris paribus preference statements
C Boutilier, RI Brafman, HH Hoos, D Poole
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
On the Comparison of Theories: Preferring the Most Specific Explanation.
D Poole
IJCAI 85, 144-147, 1985
Explanation and prediction: an architecture for default and abductive reasoning
D Poole
Computational Intelligence 5 (2), 97-110, 1989
Normality and Faults in Logic-Based Diagnosis.
D Poole
IJCAI 89, 1304-1310, 1989
Computing optimal policies for partially observable decision processes using compact representations
C Boutilier, D Poole
Proceedings of the National Conference on Artificial Intelligence, 1168-1175, 1996
Preference‐Based Constrained Optimization with CP‐Nets
C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole
Computational Intelligence 20 (2), 137-157, 2004
Multiply sectioned Bayesian networks and junction forests for large knowledge‐based systems
Y Xiang, D Poole, MP Beddoes
Computational Intelligence 9 (2), 171-220, 1993
Logic programming, abduction and probability
D Poole
New Generation Computing 11 (3-4), 377, 1993
Exploiting contextual independence in probabilistic inference
D Poole, NL Zhang
Journal of Artificial Intelligence Research 18, 263-313, 2003
A methodology for using a default and abductive reasoning system
D Poole
International Journal of Intelligent Systems 5 (5), 521-548, 1990
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