A non-classical logical foundation for naturalised realism

In P. & M. Danćak Arazim (ed.), Logica Yearbook 2014. College Publications. pp. 249-266 (2015)

Authors
Emma Ruttkamp-Bloem
University of Pretoria
Abstract
In this paper, by suggesting a formal representation of science based on recent advances in logic-based Artificial Intelligence (AI), we show how three serious concerns around the realisation of traditional scientific realism (the theory/observation distinction, over-determination of theories by data, and theory revision) can be overcome such that traditional realism is given a new guise as ‘naturalised’. We contend that such issues can be dealt with (in the context of scientific realism) by developing a formal representation of science based on the application of the following tools from Knowledge Representation: the family of Description Logics, an enrichment of classical logics via defeasible statements, and an application of the preferential interpretation of the approach to Belief Revision.
Keywords scientific realism  theory-observation distinction  overdetermination of theories by data  theory revision  scientific progress  description logics  preferential logics  belief revision
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