The Experts below are selected from a list of 1190829 Experts worldwide ranked by ideXlab platform
Ana L C Bazzan - One of the best experts on this subject based on the ideXlab platform.
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holonic multi agent System for traffic signals control
2013Co-Authors: Monireh Abdoos, Nasser Mozayani, Ana L C BazzanAbstract:Agent-based technologies are rapidly growing as a powerful tool for modelling and developing large-scale distributed Systems. Recently, Multi-Agent Systems are largely used for intelligent transportation Systems modelling. Traffic signals control is a challenging issue in this area, especially in a large-scale urban network. In a large traffic network, where each agent represents a traffic signals controller, there are many entities interacting with each other and hence it is a complex System. An approach to reduce the complexity of such Systems is using organisation-based Multi-Agent System. In this paper, we use an organisation called holonic Multi-Agent System (HMAS) to model a large traffic network. A traffic network containing fifty intersections is partitioned into a number of regions and holons are assigned to control each region. The holons are hierarchically arranged in two levels, intersection controller holons in the first level and region controller holons in the second level. We introduce holonic Q-learning to control the signals in both levels. The inter-level interactions between the holons in the two levels contribute to the learning process. Experimental results show that the holonic Q-learning prevents the network to be over-saturated while it causes less average delay time and higher flow rate.
Ian Watt - One of the best experts on this subject based on the ideXlab platform.
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applying multi agent System technology in practice automated management and analysis of scada and digital fault recorder data
2006Co-Authors: Euan M. Davidson, Tom Cumming, Stephen D. J. Mcarthur, J R Mcdonald, Ian WattAbstract:This paper reports on the use of Multi-Agent System technology to automate the management and analysis of SCADA and digital fault recorder (DFR) data. The Multi-Agent System, entitled Protection Engineering Diagnostic Agents (PEDA), integrates legacy intelligent Systems that analyze SCADA and DFR data to provide data management and online diagnostic information to protection engineers. Since November 2004, PEDA agents have been intelligently interpreting and managing data online at a transmission System operator in the U.K. As the results presented in this paper demonstrate, PEDA supports protection engineers by providing access to interpreted power Systems data via the corporate intranet within minutes of the data being received. In this paper, the authors discuss their experience of developing a Multi-Agent System that is robust enough for continual online use within the power industry. The use of existing agent development toolsets and standards is also discussed.
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Applying Multi-Agent System technology in practice: Automated management and analysis of SCADA and digital fault recorder data
2006Co-Authors: Euan M. Davidson, Tom Cumming, Stephen D. J. Mcarthur, Ian WattAbstract:Summary form only given. This paper reports on the use of Multi-Agent System technology to automate the management and analysis of SCADA and digital fault recorder (DFR) data. The Multi-Agent System, entitled protection engineering diagnostic agents (PEDA), integrates legacy intelligent Systems that analyze SCADA and DFR data to provide data management and online diagnostic information to protection engineers. Since November 2004, PEDA agents have been intelligently interpreting and managing data online at a transmission System operator in the UK. As the results presented in this paper demonstrate, PEDA supports protection engineers by providing access to interpreted power Systems data via the corporate intranet within minutes of the data being received. In this paper the authors discuss their experience of developing a Multi-Agent System that is robust enough for continual online use within the power industry. The use of existing agent development toolsets and standards is also discussed
Alexander Tsarev - One of the best experts on this subject based on the ideXlab platform.
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multi agent System approach for the strategic planning in ramp up production of small lots
2013Co-Authors: Paulo Leitao, Petr Skobelev, Alexander Tsarev, Jose Barbosa, Pavel Vrba, Daria KazanskaiaAbstract:This paper discusses the methodology for the development of a strategic planning tool, and particularly the architectural solution to be adopted, within an integrated ICT solution for the improvement of planning and scheduling Systems for the manufacturing of small production lots of complex products. After the analysis of different possible architectural solutions, the paper proposes a hybrid solution that combines existing solvers with the Multi-Agent System principles. The proposed approach introduces several benefits, namely in terms of flexibility, robustness, and achievement of exploratory alternative solutions, playing interactive what-if simulation supporting decision-makers to take strategic decisions.
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Multi-Agent System Smart Factory for Real-Time Workshop Management in Aircraft Jet Engines Production
2013Co-Authors: V. Shpilevoy, A. Shishov, Petr Skobelev, Elina Kolbova, Daria Kazanskaia, Ya. Shepilov, Alexander TsarevAbstract:The paper presents design principles of Multi-Agent System “Smart Factory” for real time resource management in manufacturing workshops. This objective is achieved by flexible event-driven reaction on changes in factory environment, resource allocation, scheduling, optimization and controlling in real time. The developed method of adaptive resource scheduling based on Multi-Agent technology, main functionality and architecture of the System are discussed. The results of application and measured benefits for aircraft jet engines manufacturer are presented.
Daria Kazanskaia - One of the best experts on this subject based on the ideXlab platform.
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multi agent System approach for the strategic planning in ramp up production of small lots
2013Co-Authors: Paulo Leitao, Petr Skobelev, Alexander Tsarev, Jose Barbosa, Pavel Vrba, Daria KazanskaiaAbstract:This paper discusses the methodology for the development of a strategic planning tool, and particularly the architectural solution to be adopted, within an integrated ICT solution for the improvement of planning and scheduling Systems for the manufacturing of small production lots of complex products. After the analysis of different possible architectural solutions, the paper proposes a hybrid solution that combines existing solvers with the Multi-Agent System principles. The proposed approach introduces several benefits, namely in terms of flexibility, robustness, and achievement of exploratory alternative solutions, playing interactive what-if simulation supporting decision-makers to take strategic decisions.
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Multi-Agent System Smart Factory for Real-Time Workshop Management in Aircraft Jet Engines Production
2013Co-Authors: V. Shpilevoy, A. Shishov, Petr Skobelev, Elina Kolbova, Daria Kazanskaia, Ya. Shepilov, Alexander TsarevAbstract:The paper presents design principles of Multi-Agent System “Smart Factory” for real time resource management in manufacturing workshops. This objective is achieved by flexible event-driven reaction on changes in factory environment, resource allocation, scheduling, optimization and controlling in real time. The developed method of adaptive resource scheduling based on Multi-Agent technology, main functionality and architecture of the System are discussed. The results of application and measured benefits for aircraft jet engines manufacturer are presented.
Niek J E Wijngaards - One of the best experts on this subject based on the ideXlab platform.
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specification of bahavioural requirements within compositional multi agent System design
1999Co-Authors: Daniela E Herlea, Catholijn M Jonker, Jan Treur, Niek J E WijngaardsAbstract:In this paper it is shown how informal and formal specification of behavioural requirements and scenarios for agents and Multi-Agent Systems can be integrated within Multi-Agent System design. In particular, it is addressed how a compositional perspective both on design descriptions and specification of behavioural requirements can be exploited. The approach has been applied in a case study: the development of a mediating information agent. It is shown that compositional verification benefits from the integration of requirements engineering within the design process.
