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Authors: Caramihai Simona ; Dumitrache Ioan ; Moisescu Mihnea ; Saru Daniela and Sacala Ioan

Affiliation: Automation and Computer Science Faculty, University “Politehnica”of Bucharest, 313 Splaiul Independentei, Bucharest and Romania

Keyword(s): Cyber-Physical Systems, Intelligent Cyber-Enterprise, Perception.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication and Software Technologies and Architectures ; Domain Analysis and Modeling ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Engineering ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The paradigm of Cyber-Physical Systems may be successfully applied to a large number of case-studies, but the most challenging of them are focusing on large scale systems whose dynamics is adapting to various functional scenarios and environmental conditions as energy networks, traffic systems and especially different kinds of cooperative networks of enterprises. However, the large spectrum of possible configurations of such processes raises many issues with respect to the identification of problems to be solved, and furthermore, of the solving method itself, making the efficient use of available knowledge a real challenge. This paper is presenting a neuro-inspired approach for the design of a knowledge management system dedicated to complex networking enterprises organized as Cyber-Physical Systems, and whose functioning is implying dynamical reconfiguration in response to environmental changes, based on the gathering and use of large flows of information, which are referred to as I ntelligent Cyber-Enterprises. The proposed ideas are based on a human brain model of reasoning and learning. (More)

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Paper citation in several formats:
Simona, C.; Ioan, D.; Mihnea, M.; Daniela, S. and Ioan, S. (2019). A Neuro-inspired Approach for a Generic Knowledge Management System of the Intelligent Cyber-Enterprise. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 367-374. DOI: 10.5220/0008348603670374

@conference{keod19,
author={Caramihai Simona. and Dumitrache Ioan. and Moisescu Mihnea. and Saru Daniela. and Sacala Ioan.},
title={A Neuro-inspired Approach for a Generic Knowledge Management System of the Intelligent Cyber-Enterprise},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD},
year={2019},
pages={367-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008348603670374},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD
TI - A Neuro-inspired Approach for a Generic Knowledge Management System of the Intelligent Cyber-Enterprise
SN - 978-989-758-382-7
IS - 2184-3228
AU - Simona, C.
AU - Ioan, D.
AU - Mihnea, M.
AU - Daniela, S.
AU - Ioan, S.
PY - 2019
SP - 367
EP - 374
DO - 10.5220/0008348603670374
PB - SciTePress