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Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Ontological Foundations of Multi-agent Framework for Organizational Diagnosis

P. 170–184.
Poletaeva T., Babkin E., Abdulrab H.

In order to support management functions in dynamically changing corporate enterprises, adequate information systems need to be built, automating desirable adaptation of inter- and intra- organizational business processes. This paper therefore introduces a new approach to the design of multi-agent information systems meant for planning, discovering, monitoring deviations, and optimizing business processes. Expected qualitative breakthrough in the system’s capacity is based on the matching of its constructional and behavioral perspective with the ontological model of supported enterprise. Besides, conformity between organizational and information systems is supplemented by their conceptual alignment in the description of states and processes. The method of multi-agent framework construction and its application for traceability in supply chains are presented in this paper.

Language: English
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Keywords: business process modelingmeta-modelmulti-agent technologyObject ParadigmOrganizational Diagnosis

In book

Lecture Notes in Business Information Processing
Lecture Notes in Business Information Processing
Vol. 158: Perspectives in Business Informatics Research. , Warsz.: Springer, 2013.
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