Communications of the ACM - Special issue on parallelism
Making believers out of computers
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Dialectics and specificity: conditioning in logic-based hypothetical reasoning (preliminary report)
Proceedings of the eighth biennial conference of the Canadian Society for Computational Studies of Intelligence on CSCSI-90
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Instance-Based Learning Algorithms
Machine Learning
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Vivid knowledge and tractable reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
On the relation between default theories and autoepistemic logic
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Commonsense entailment: a modal theory of nonmonotonic reasoning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Inaccessible worlds and irrelevance preliminary report
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
A skeptic's menagerie: conflictors, preemptors, reinstates, and zombies in nonmonotonic inheritance
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
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An important and readily available source of knowledge for common sense reasoning is partial descriptions of specific experiences. Knowledge bases (KBs) containing such information are called episodic knowledge bases (EKB). Aggregations of episodic knowledge provide common sense knowledge about the unobserved properties of 'new' experiences. Such knowledge is retrieved by applying statistics to a relevant subset of the EKB called the reference class. I study a manner in which a corpus of experiences can be represented to allow common sense retrieval which is: 1. Flexible enough to allow the common sense reasoner to deal with 'new' experiences, and 2. In the simplest case, reduces to efficient database look-up. I define two first order dialects, L and QL. L is used to represent experiences in an episodic knowledge base. An extension, QL is used for writing queries to EKBs.