On the Emergence of Reasons in Inductive Logic

On the Emergence of Reasons in Inductive Logic (2001)

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by J. B. Paris , M. Wafy

Venue:	Journal of the IGPL
Citations:	2 - 2 self

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Datum	Value	Source
TITLE	On the Emergence of Reasons in Inductive Logic	user correction - Legacy Corrections
AUTHOR NAME	J. B. Paris	SVM HeaderParse 0.1
AUTHOR AFFIL	1;, Department of Mathematics, University of	SVM HeaderParse 0.2
AUTHOR ADDR	Manchester, Manchester M13 9PL, UK.	SVM HeaderParse 0.1
AUTHOR NAME	M. Wafy	SVM HeaderParse 0.1
AUTHOR AFFIL	1;, Department of Mathematics, University of	SVM HeaderParse 0.2
AUTHOR ADDR	Manchester, Manchester M13 9PL, UK.	SVM HeaderParse 0.1
ABSTRACT	We apply methods of abduction derived from propositional probabilistic reasoning to predicate probabilistic reasoning, in particular inductive logic, by treating nite predicate knowledge bases as potentially in nite propositional knowledge bases. It is shown that for a range of predicate knowledge bases (such as those typically associated with inductive reasoning) and several key propositional inference processes (in particular the Maximum Entropy Inference Process) this procedure is well de ned, and furthermore yields an explanation for the validity of the induction in terms of `reasons'. Keywords: Inductive Logic, Probabilistic Reasoning, Abduction, Maximum Entropy, Uncertain Reasoning. 1 Motivation Consider the following situation. I am sitting by a bend in a road and I start to wonder how likely it is that the next car which passes will skid on this bend. I have some knowledge which seems relevant, for example I know that if there is ice on the road then there is a good chance of a skid, and similarly if the bend is unsigned, the camber adverse, etc.. I possibly also have some knowledge of how likely it is that there is ice on the road, how likely it is that the bend is unsigned (possibly conditioned on the iciness of the road) etc.. Notice that this is generic knowledge which applies equally to any potential passing car.	user correction - Legacy Corrections
YEAR	2001	INFERENCE
VENUE	Journal of the IGPL	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	207--216	INFERENCE
VOLUME	9	INFERENCE
CITATIONS	13 found	ParsCit 1.0