PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Logic, Reasoning under Uncertainty and Causality
Pedro A Ortega
ArXiv.org 2010.

Abstract

A simple framework for reasoning under uncertainty and intervention is introduced. This is achieved in three steps. First, logic is restated in set-theoretic terms to obtain a framework for reasoning under certainty. Second, this framework is extended to model reasoning under uncertainty. Finally, causal spaces are introduced and shown how they provide enough information to model knowledge containing causal information about the world.

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EPrint Type:Article
Additional Information:13 pages, 6 figures.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Theory & Algorithms
ID Code:7001
Deposited By:Pedro Ortega
Deposited On:17 September 2010