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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Vydané v:	Artificial intelligence Ročník 193; s. 129 - 148
Hlavní autori:	Ontañón, Santiago, Dellunde, Pilar, Godo, Lluís, Plaza, Enric
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier B.V 01.12.2012 Elsevier
Predmet:	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
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