
Application of n-tuple algebra for modeling and analysis of uncertainties in knowledge.
Author(s) -
Boris A. Kulik,
A. A. Fridman,
IInstitute for Informatics
Publication year - 2020
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2020.8.11.016
Subject(s) - tuple , monotonic function , algebra over a field , computer science , modal , modal logic , theoretical computer science , mathematics , discrete mathematics , pure mathematics , mathematical analysis , chemistry , polymer chemistry
To model and analyze uncertainties in artificial intelligence, non-classical, in particular, non-monotonic and modal logics are often used, since classical logic is believed to poorly fit for such an analysis. This paper proposes some opportunities to apply a unified approach to analysis of various types of uncertainty based on n-tuple algebra earlier developed by the authors.