Bennett, B. orcid.org/0000-0001-5020-6478 and Álvarez, L.G. (2023) Vagueness in Predicates and Objects. In: Aussenac-Gilles, N., Hahmann, T., Galton, A. and Hedblom, M.M., (eds.) Formal Ontology in Information Systems. 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), 18-20 Sep 2023, Québec, Canada. Frontiers in Artificial Intelligence and Applications, 377 . IOS Press , Amsterdam, Netherlands , pp. 32-46. ISBN 978-1-64368-468-0
Abstract
Standard first-order logic interprets reference, predication and quantification in terms of fixed denotations with respect to a domain of precise objects. We explore ways to generalise this semantics to account for variability of meaning due to factors such as vagueness, context and diversity of definitions or opinions. We present Variable Reference Logic (VRL), an elaboration of Standpoint Logic, which is a multi-modal logic based on a variety of Supervaluation Semantics. VRL can accommodate several modes of variability in relation to both predicates and objects. Its principal novelty is that its semantics incorporates a domain of indefinite individuals, whose precise properties (such as spatial extension) are not fully determinate. Each indefinite individual is associated with a set of precise entities corresponding to possible precise versions of the individual.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). |
Keywords: | Vagueness, Semantics, Vague Objects, Standpoint Logic |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jul 2024 14:05 |
Last Modified: | 09 Jul 2024 14:05 |
Published Version: | https://doi.org/10.3233/FAIA377 |
Status: | Published |
Publisher: | IOS Press |
Series Name: | Frontiers in Artificial Intelligence and Applications |
Identification Number: | 10.3233/FAIA231116 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214521 |