Foundations of logic programming
Foundations of logic programming
Artificial Intelligence
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Distributed revision of composite beliefs
Artificial Intelligence
A logical framework for default reasoning
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A complexity analysis of assumption-based truth maintenance systems
Reason maintenance systems and their applications
Abductive inference models for diagnostic problem-solving
Abductive inference models for diagnostic problem-solving
What is the most likely diagnosis?
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Problem formulation as the reduction of a decision model
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Probabilistic Horn abduction and Bayesian networks
Probabilistic Horn abduction and Bayesian networks
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
PrDLs: a new kind of probabilistic description logics about belief
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
The independent choice logic and beyond
Probabilistic inductive logic programming
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Abduction as belief revision: a model of preferred explanations
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Logic, probability and computation: foundations and issues of statistical relational AI
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Modeling failure priors and persistence in model-based diagnosis
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Modeling uncertain temporal evolutions in model-based diagnosis
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Representing Bayesian networks within probabilistic horn abduction
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
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This paper describes the application of explanation-based learning, a machine learning technique, to the SRI Core Language Engine, a large scale general purpose natural language analysis system. The idea is to bypass normal morphological, syntactic and ...