General theory of cumulative inference
Proceedings of the 2nd international workshop on Non-monotonic reasoning
Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Theoretical foundations for non-monotonic reasoning in expert systems
Logics and models of concurrent systems
Induction as nonmonotonic inference
Proceedings of the first international conference on Principles of knowledge representation and reasoning
What does a conditional knowledge base entail?
Artificial Intelligence
A Reduction of the Theory of Confirmation to the Notions of Distance and Measure
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
A defeasible reasoning model of inductive concept learning from examples and communication
Artificial Intelligence
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I study the process of inductive hypothesis formation from two perspectives: finding general rules that explain given specific evidence, and finding general rules that are confirmed by the evidence. Both forms of hypothesis formation are axiomatised on the metalevel of consequence relations, which provides us with a set of rationality postulates for various forms of induction.