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  1. Semantic conceptions of information.Luciano Floridi - 2008 - Stanford Encyclopedia of Philosophy.
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  • Semantic Information and the Trivialization of Logic: Floridi on the Scandal of Deduction.Marcello D'Agostinoemail - 2013 - Information 4 (1):33-59.
    In this paper we discuss Floridi’s views concerning semantic information in the light of a recent contribution (in collaboration with the present author) [1] that defies the traditional view of deductive reasoning as “analytic” or “tautological” and construes it as an informative, albeit non-empirical, activity. We argue that this conception paves the way for a more realistic notion of semantic information where the “ideal agents” that are assumed by the standard view can be indefinitely approximated by real ones equipped with (...)
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  • Information closure and the sceptical objection.Luciano Floridi - 2014 - Synthese 191 (6):1037-1050.
    In this article, I define and then defend the principle of information closure (pic) against a sceptical objection similar to the one discussed by Dretske in relation to the principle of epistemic closure. If I am successful, given that pic is equivalent to the axiom of distribution and that the latter is one of the conditions that discriminate between normal and non-normal modal logics, a main result of such a defence is that one potentially good reason to look for a (...)
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  • Proceeding in Abstraction. From Concepts to Types and the recent perspective on Information.Giuseppe Primiero - 2009 - History and Philosophy of Logic 30 (3):257-282.
    This article presents an historical and conceptual overview on different approaches to logical abstraction. Two main trends concerning abstraction in the history of logic are highlighted, starting from the logical notions of concept and function. This analysis strictly relates to the philosophical discussion on the nature of abstract objects. I develop this issue further with respect to the procedure of abstraction involved by (typed) λ-systems, focusing on the crucial change about meaning and predicability. In particular, the analysis of the nature (...)
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  • A Taxonomy of Errors for Information Systems.Giuseppe Primiero - 2014 - Minds and Machines 24 (3):249-273.
    We provide a full characterization of computational error states for information systems. The class of errors considered is general enough to include human rational processes, logical reasoning, scientific progress and data processing in some functional programming languages. The aim is to reach a full taxonomy of error states by analysing the recovery and processing of data. We conclude by presenting machine-readable checking and resolve algorithms.
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