| Document Type
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BL
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| Record Number
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766693
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| Doc. No
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b586675
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| Main Entry
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George Rzevski Petr Skobelev.
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| Title & Author
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Managing complexity\ George Rzevski Petr Skobelev.
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| Publication Statement
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Southampton, Boston : WIT Press, [, 2014]
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| Page. NO
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198 pages : illustrations ; 24 cm.
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| ISBN
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1845649362
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: 9781845649364
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| Contents
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Note de contenu générée automatiquement: pt. 1 Fundamentals --; 1. What is complexity? --; Introduction --; Defining Complexity --; Complex Versus Complicated --; Complexity and Uncertainty --; The Seven Criteria of Complexity --; Negative and Positive Aspects of Complexity --; Evolution Favours Complexity --; Co-Evolution of Technology, Economy and Society --; Complexity and Information Society --; Complexity and Philosophy --; 2.A method for managing complexity --; Introduction --; Coping with External Complexity --; Tuning Internal Complexity --; Modelling Complexity --; Adaptability --; Designing Adaptive Business Processes --; 3. Multi-agent technology --; Introduction --; Fundamentals --; MAS for Adaptive Resource Allocation --; Knowledge Base --; Virtual World --; Decision-Making --; Agent Negotiations --; Architecture --; Multi-Agent Platform --; Main Features of Our MAS --; Multi-Agent Software as a Complex Adaptive System --; Comparing Multi-Agent Software with Conventional Programs. Suite du contenu: 4. Emergent intelligence --; Fundamentals --; Evidence of Intelligent Behaviour --; Thermodynamics of the Virtual World --; pt. 2 Commercial applications --; 5. Adaptive scheduling of seagoing tankers --; The Problem --; The Solution --; Results --; 6. Adaptive scheduling of taxis --; The Problem --; The Solution --; Results --; 7. Adaptive scheduling of car rentals --; The Problem --; The Solution --; Results --; 8. Adaptive scheduling of road transport --; The Problem --; The Solution --; Results --; 9. Adaptive data mining --; The Problem --; The Solution --; Application Examples --; Results --; 10. Adaptive semantic processing --; The Problem --; The Solution --; Application Example: Assessing Relevance of Abstracts --; Results --; 11. Adaptive detection of clashes caused by design changes --; The Problem --; The Solution --; Results --; 12. Adaptive scheduling of supply networks --; The Problem --; The Solution --; Results. Suite du contenu: 13. Adaptive scheduling of services for the international space station --; The Problem --; The Solution --; Results --; 14. Adaptive scheduling of a fleet of satellites --; The Problem --; The Solution --; Results --; 15. Adaptive scheduling of high-speed railways --; The Problem --; The Solution --; Results --; 16. Adaptive scheduling of manufacturing --; The Problem --; The Solution --; Results --; 17. Adaptive management of service teams --; The Problem --; The Solution --; Results --; 18. Adaptive project management --; The Problem --; The Solution --; Results --; pt. 3 A roadmap into the future --; 19.A vision and ideas --; A Shift from Personal to Business Applications --; The IoT --; Digital Enterprise --; Smart City --; Smart Logistics.
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| Abstract
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The thesis of this book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several examples, including adaptive, real-time scheduling of taxis, seagoing tankers, supply chains, and production processes. Additional case studies include adaptive servicing of the International Space Station, dynamic data mining, and distributed semantic processing.--Quatrième de couverture.
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| Subject
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Complexité technologique.
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| Subject
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Systèmes d'information de gestion.
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| Subject
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Systèmes multiagents (Intelligence artificielle)
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| Added Entry
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G Rzevski
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Petr Skobelev
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