A defeasible reasoning model of inductive concept learning from examples and communication

This paper introduces a logical model of inductive generalization, and specifically of the machine learning task of inductive concept learning (ICL). We argue that some inductive processes, like ICL, can be seen as a form of defeasible reasoning. We define a consequence relation characterizing which...

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Bibliographic Details
Published in:	Artificial intelligence Vol. 193; pp. 129 - 148
Main Authors:	Ontañón, Santiago, Dellunde, Pilar, Godo, Lluís, Plaza, Enric
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier B.V 01.12.2012 Elsevier
Subjects:	Applied sciences Argumentation Artificial intelligence Computer science; control theory; systems Concept learning Exact sciences and technology Induction Learning and adaptive systems Logic Machine learning Concept learning Argumentation Logic Induction Machine learning Bias Preference theory Inductive learning Modeling Circumscription Default logic Multiagent system Revision Supervised learning Reasoning Inductive logic programming Artificial intelligence
ISSN:	0004-3702, 1872-7921
Online Access:	Get full text
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