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Non-monotonic characterization of induction and its application to inductive learning

Autor
Núñez, G.; Cortes, U.; Larrosa, J.
Tipus d'activitat
Article en revista
Revista
International journal of intelligent systems
Data de publicació
1995-10
Volum
10
Número
10
Pàgina inicial
895
Pàgina final
927
DOI
https://doi.org/10.1002/int.4550101004 Obrir en finestra nova
Resum
In this article a new approach to the formalization of inductive inference in terms of non-monotonic inference is proposed. Induction is characterized as closed-world reasoning from the available data, followed by an inductive jump, which consists in assuming that valid conclusions in the database (assuming closed-world) hold also in the rest of the world. This conception of induction results is adequate to characterize those inference processes that could be formalized, that is, those based in ...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic
LOGPROG - Lògica i Programació

Participants