Abstract
The intention here is to develop a theory of machine learning (in particular, abductive reasoning) using the framework of D. Gabbay's Labelled Deductive Systems (LDS), in the light of Gillies' perspective on the dichotomy ‘deductive versus inductive logic’ where controlled inference serves as the bridging notion. From this point of view, abductive reasoning, a topic that attracts much interest in AI and automated reasoning research, can be seen as a kind of controlled deduction where the control component will be represented by the labels of the LDS framework; this work investigates the possibility of treating the meta-level considerations of the abductive reasoning in terms of the informations handled by the labels on the labelled formulae of such framework.
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Riccio, N.C.R., de Queiroz, R.J.G.B. (1995). Labelled abduction. In: Wainer, J., Carvalho, A. (eds) Advances in Artificial Intelligence. SBIA 1995. Lecture Notes in Computer Science, vol 991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034802
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DOI: https://doi.org/10.1007/BFb0034802
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