A note on the inevitability of maximum entropy
International Journal of Approximate Reasoning
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
What does a conditional knowledge base entail?
Artificial Intelligence
Conditional entailment: bridging two approaches to default reasoning
Artificial Intelligence
Qualitative probabilities: a normative framework for commonsense reasoning
Qualitative probabilities: a normative framework for commonsense reasoning
General patterns in nonmonotonic reasoning
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Plausible Inference for Default Conditionals
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
A general non-probabilistic theory of inductive reasoning
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Proceedings of the Workshop on The Logic of Theory Change
Statistical foundations for default reasoning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Inconsistency management and prioritized syntax-based entailment
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
A maximum entropy approach to nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
System JLZ: rational default reasoning by minimal ranking constructions
Journal of Applied Logic - Special issue on combining probability and logic
Projective default epistemology
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
On the plausibility of abstract arguments
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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We develop a new semantics for defeasible inference based on extended probability measures allowed to take infinitesimal values, on the interpretation of defaults as generalized conditional probability constraints and on a preferred-model implementation of entropy-maximization.