Finite narrative modelling, contextual dynamic semantics and Elusive Knowledge

Abstract

The central point of this thesis is the semi-formal approach to contexualist semantics of knowledge by David Lewis. Lewis introduces a set of rules that allow us to ignore certain parts of the space of all possibilities when we evaluate a knowledge claim. These rules are dependent on the context of utterance of the knowledge claim and therefore give rise to a contextualist notion of knowledge. We focus in particular on the Rule of Attention. The open nature of this rule poses problems for a formalisation in the usual framework of dynamic epistemic logic. We make a distinction between two modelling approaches: open modelling and closed modelling. The latter approach, called finite narrative modelling, is a methodology that relieves us from the duty of using a language that can represent arbitrary facts, since we as modellers know which facts will become relevant when we start with the modelling. We introduce two extensions of dynamic epistemic logic and conclude by considering Lewis' rules as restrictions of this model.

Other Versions

No versions found

Links

PhilArchive

    This entry is not archived by us. If you are the author and have permission from the publisher, we recommend that you archive it. Many publishers automatically grant permission to authors to archive pre-prints. By uploading a copy of your work, you will enable us to better index it, making it easier to find.

    Upload a copy of this work     Papers currently archived: 102,750

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Justification in Context.Matjaž Potrč & Vojko Strahovnik - 2005 - Acta Analytica 20 (9):91-104.
The Effort of Reasoning: Modelling the Inference Steps of Boundedly Rational Agents.Anthia Solaki - 2022 - Journal of Logic, Language and Information 31 (4):529-553.
How do models give us knowledge? The case of Carnot’s ideal heat engine.Tarja Knuuttila & Mieke Boon - 2011 - European Journal for Philosophy of Science 1 (3):309-334.
Knowledge-driven versus data-driven logics.Didier Dubois, Petr Hájek & Henri Prade - 2000 - Journal of Logic, Language and Information 9 (1):65--89.

Analytics

Added to PP
2014-01-18

Downloads
24 (#937,581)

6 months
5 (#879,729)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references