Pareto optimality and Nash equilibrium for building stable systems

This paper introduces a design approach based on system analysis and game theory for the identification of architectural equilibrium which guarantees the stability of the system being designed and its environment after the integration. We introduce multi-objective optimization and game theory, and t...

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Bibliographic Details
Main Authors: Doufene, Abdelkrim (Contributor), Krob, Daniel (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2017-05-16T13:35:33Z.
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Online Access:Get fulltext
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100 1 0 |a Doufene, Abdelkrim  |e author 
100 1 0 |a Massachusetts Institute of Technology. Institute for Data, Systems, and Society  |e contributor 
100 1 0 |a Doufene, Abdelkrim  |e contributor 
100 1 0 |a Doufene, Abdelkrim  |e contributor 
700 1 0 |a Krob, Daniel  |e author 
245 0 0 |a Pareto optimality and Nash equilibrium for building stable systems 
260 |b Institute of Electrical and Electronics Engineers,   |c 2017-05-16T13:35:33Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/109089 
520 |a This paper introduces a design approach based on system analysis and game theory for the identification of architectural equilibrium which guarantees the stability of the system being designed and its environment after the integration. We introduce multi-objective optimization and game theory, and their links with systems engineering through mathematical models. While Pareto optimality is used to select best architectures and to support independent decisions, Nash equilibrium is used to find out architectural equilibrium and to support interdependent decisions. This approach was illustrated previously in a case study. 
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655 7 |a Article 
773 |t 2015 Annual IEEE Systems Conference (SysCon) Proceedings