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Workshop on Abduction and Induction in Ai and Scientific Modeling

Peter Flach, Antonis Kakas, Lorenzo Magnani, Oliver Ray

Year
2006
Citations
3

Abstract

ion, induction and abduction in scientific modelling D. Portides . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Disjunctive bottom set and its computation W. Lu and R. King . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Abduction, induction, and the logic of scientific knowledge development P. Flach, A. Kakas and O. Ray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 An abduction framework for handling incompleteness in first-order learning S. Ferilli, F. Esposito, N. Di Mauro, T. Basile and M. Biba . . . . . . . . . . . . . . . 24 Using abduction for induction of normal logic programs O. Ray . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Abduction, induction, and the robot scientist (invited talk abstract) R. King . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

Keywords

Asymmetric inductionSet (abstract data type)Computer scienceArtificial intelligenceProgramming languageChemistry

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