Tools and methodologies for business processes formalization: Application to multi-agent systems / Aksyonov K., Bykov E., Antonova A., Aksyonova O., Sufrygina E., Goncharova N. // Proceedings - UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011. - 2011. - V. , l. . - P. 113-118.

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нет данных
Type:
Conference Paper
Abstract:
Currently there are various methodologies for business processes formalization. As well as various approaches to business process definition. Authors find a multi-agent approach the most efficient at the current level of information technology. This became the reason for development of BPsim. DSS - a simulation-based decision support system, based on multi-agent resource conversion processes apparatus. To design the architecture authors compared several methodologies that are popular in Russia, identified positive and negative sides, and developed their own multi-agent resource conversion processes model that considers and fixes all drawbacks of existing methodologies. Paper focuses on results of this analysis, showing the main idea of each methodology, introducing it to the reader, points out the main advantages and disadvantages. Second part of the paper describes the self-developed resource conversion processes methodology, emphasizes its advantages over existing methodologies, and concludes with a brief mention of developed decision support system, based on the methodology. © 2011 IEEE.
Author keywords:
agent-based modelling; business process formalization; decision support
Index keywords:
Agent-based modelling; Business Process; business process formalization; Current levels; Decision supports; Multi-agent approach; Resource conversion; Simulation-based; Information technology; Multi a
DOI:
10.1109/EMS.2011.75
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856978297&doi=10.1109%2fEMS.2011.75&partnerID=40&md5=5c4fdb613becf6eb60aea697dbf99bd7
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Art. No. 6131198
Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856978297&doi=10.1109%2fEMS.2011.75&partnerID=40&md5=5c4fdb613becf6eb60aea697dbf99bd7
Affiliations Dept. of Automated Systems of Control, Ural Federal University, Ekaterinburg, Russian Federation
Author Keywords agent-based modelling; business process formalization; decision support
References Wooldridge, M., Jennings, N., Kinny, D., The Gaia Methodology for Agent-Oriented Analysis and Design (2000) Journal of Autonomous Agents and Multi-Agent Systems, 3, pp. 285-312; Bugaichenko, D.Y., (2007) Development and Implementation of Methods for Formally Logical Specification of Self-tuning Multi-agent Systems with Timely Limitations, , DPhil research paper. St. Petersburg, Russia; Bugaichenko, D.Y., Mathematical model and specification of intelligent agent systems / Bugaichenko (2006) System Programming, (2); Bugaichenko, D.Y., Abstract architecture of intelligent agent and methods of its implementation / Bugaichenko, Soloviev (2005) System Programming, (1); Masloboev, A.V., Method of superposed generation and effectiveness estimation for regional innovation structures / Masloboev (2008) MGTU Bulleting, 11 (2). , Murmansk State Technical University, Murmansk, Russia; Masloboev, A.V., Hybrid architecture of intelligent agent with simulation apparatus / Masloboev (2009) MGTU Bulletin, 12 (1). , Murmansk State Technical University, Murmansk, Russia; Rybina, G.V., Paronjanov, S.S., General model of intelligent agents interaction and methods of its implementation (2008) XI National Conference on Artificial Intelligence., , http://www.raai.org; Rybina, G.V., Paronjanov, S.S., Modeling intelligent agents interaction in multi-agent systems / Rybina, Paronjanov (2008) Arificial Intelligence and Decision Making, (3); Rybina, G.V., Paronjanov, S.S., SMIAI system and its application experience for building multi-agent systems / Rybina, Paronjanov (2009) Software Products and Systems, (4); Aksyonov, K.A., Goncharova, N.V., (2006) Multi-agent Resource Conversion Processes Dynamic Simulation, , Ekaterinburg, USTU; Aksyonov, K.A., (2003) Research and Development of Tools for Discrete Resource Conversion Processes Simulation, , DPhil research paper. Ural State Technical University, Ekaterinburg, Russia; Aksyonov, K.A., Bykov, E.A., Smoliy, E.F., Khrenov, A.A., Industrial enterprises business processes simulateon with BPsim.MAS (2008) Proceedings of the 2008 Winter Simulation Conference, pp. 1669-1677; Wooldridge, M., Intelligent Agent: Theory and Practice (1995) Knowledge Engineering Review, 10 (2); Muller, J.P., Pischel, M., (1993) The Agent Architecture InteRRap: Concept and Application, , German Research Center for Artificial Intelligence (DFKI)
Correspondence Address Aksyonov, K.; Dept. of Automated Systems of Control, Ural Federal University, Ekaterinburg, Russian Federation; email: wiper99@mail.ru
Conference name UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011
Conference date 16 November 2011 through 18 November 2011
Conference location Madrid
Conference code 88409
ISBN 9780769546193
Language of Original Document English
Abbreviated Source Title Proc. - UKSim Eur. Model. Symp. Comput. Model. Simul., EMS
Source Scopus