loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Vadim Vagin and Alexander Eremeev

Affiliation: Moscow Power Engineering Institute (Technical University), Russian Federation

Keyword(s): Artificial Intelligence, Assumption-based Truth Maintenance System, Reasoning by Analogy, Intelligent Diagnosis System, Knowledge Base.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Enterprise Information Systems ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: The paper is devoted to research and modeling reasoning based on Assumption-based Truth Maintenance Systems (ATMS) and reasoning by analogy in intelligent diagnosis systems. The new heuristic approaches of current measurement point choosing on the basis of supporting and inconsistent environments are presented. Reasoning by analogy method is viewed. This work was supported by the Russian Fund for Basic Research.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.58.112.1

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vagin, V. and Eremeev, A. (2011). REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-8425-54-6; ISSN 2184-4992, SciTePress, pages 18-25. DOI: 10.5220/0003427400180025

@conference{iceis11,
author={Vadim Vagin. and Alexander Eremeev.},
title={REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2011},
pages={18-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003427400180025},
isbn={978-989-8425-54-6},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - REASONING IN INTELLIGENT DIAGNOSIS SYSTEMS
SN - 978-989-8425-54-6
IS - 2184-4992
AU - Vagin, V.
AU - Eremeev, A.
PY - 2011
SP - 18
EP - 25
DO - 10.5220/0003427400180025
PB - SciTePress