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Reasoning in Epistemic Contexts

  • Yves BouchardEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10257)

Abstract

In this paper, I develop a framework for representing knowledge, that aims at exploiting logically epistemological objects, namely epistemic contexts. Even though this framework is mostly logical and epistemological in character, it takes advantage of many works in artificial intelligence, in particular the ones of McCarthy and Buvač (1997). In Sect. 1, I characterize the notion of epistemic contexts. In Sect. 2, I present a natural deduction system that allows for the introduction and the elimination of knowledge operators. Such a system enables classical reasoning among contexts governed by different concepts of knowledge. Finally, in Sect. 3, I discuss some corollaries of the proposed framework (knowledge transfer, introspection, and closure).

Keywords

Natural Deduction Epistemic Normativity Epistemic Agent Epistemic Standard Closure Principle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Université de SherbrookeSherbrookeCanada

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