Abstract
n-tableaux [1] and δ-resolution [2], which are based, respectively, on semantic tableaux and resolution, have been properly used for the resolution of abductive problems. The tool we present is a Prolog implementation of an abductive solver which combines both calculi to attack first order abductive problems by reducing them to finite versions, that is, propositional rewritings of the problems which presuppose a context representable with finite models with a known cardinality.
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© 2006 Springer-Verlag Berlin Heidelberg
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Soler-Toscano, F., Nepomuceno-Fernández, Á. (2006). tarfa: Tableaux and Resolution for Finite Abduction. In: Fisher, M., van der Hoek, W., Konev, B., Lisitsa, A. (eds) Logics in Artificial Intelligence. JELIA 2006. Lecture Notes in Computer Science(), vol 4160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11853886_49
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DOI: https://doi.org/10.1007/11853886_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39625-3
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