The University of Southampton
University of Southampton Institutional Repository

Strategic knowledge acquisition

Strategic knowledge acquisition
Strategic knowledge acquisition
The article proposes a trimodal logical system that can express the strategic ability of coalitions to learn from their experience. The main technical result is the completeness of the proposed system.
Knowledge, action, axiomatization, completeness, epistemic logic, know-how, strategic game, temporal
1529-3785
1
Deuser, Kaya
23a1de64-9965-4ce3-9cf5-33546306002b
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Deuser, Kaya
23a1de64-9965-4ce3-9cf5-33546306002b
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0

Deuser, Kaya and Naumov, Pavel (2021) Strategic knowledge acquisition. ACM Transactions on Computational Logic, 22 (3), 1, [3459993]. (doi:10.1145/3459993).

Record type: Article

Abstract

The article proposes a trimodal logical system that can express the strategic ability of coalitions to learn from their experience. The main technical result is the completeness of the proposed system.

Text
2021-tocl-dn - Accepted Manuscript
Download (753kB)

More information

Published date: 28 June 2021
Additional Information: Publisher Copyright: © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Keywords: Knowledge, action, axiomatization, completeness, epistemic logic, know-how, strategic game, temporal

Identifiers

Local EPrints ID: 453372
URI: http://eprints.soton.ac.uk/id/eprint/453372
ISSN: 1529-3785
PURE UUID: 6dad76dc-a470-49bd-a491-e54ccdf64133
ORCID for Pavel Naumov: ORCID iD orcid.org/0000-0003-1687-045X

Catalogue record

Date deposited: 13 Jan 2022 18:16
Last modified: 06 Jun 2024 02:12

Export record

Altmetrics

Contributors

Author: Kaya Deuser
Author: Pavel Naumov ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×