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.
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