This is the first book to describe large-scale complex adaptive systems and their application to practical business problems to yield excellent returns on investment. Various case studies are included ranging from real-time scheduling of 2,000 taxis in London and 10% of world capacity of seagoing tankers transporting crude oil around the globe, to adaptive cargo delivery to the International Space Station, semantic processing of scientific abstracts, dynamic patterns discovery from large quantity of data, real-time management of global supply chains and adaptive management of design modifications of large aircraft wings.The applications are backed up with a concise outline of the fundamental concepts, principles and methods of Complexity Science. An insight is provided into the connection between digital technology and the ever-increasing complexity of contemporary social and economic environments and a powerful method of managing complexity is described in some detail.The book contains an extensive description of the fundamentals of multi-agent technology, which has been developed by the authors and used in the design of complex adaptive software and complex adaptive business processes.
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...a beautiful book that tells a unique story created by two talented researchers and entrepreneurs... It is original, it is refreshing, it is brave and it will benefit all those who are able to change their minds, based on the current, well established and hardly ever challenged, belief that the future is predictable and controllable. --Dr J. Knezevic, MIRCE Akademy, UK, June 2014
This book is truly refreshing. It is probably the finest book of its genre since "Rubenstein's Concepts in Problem Solving" (1980). --Mordechai Ben-Menachem, Computing Reviews, 23 Sep 2014
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Gebunden. Condizione: New. Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: 1. Connectivity 2. Autonomy 3. Emergency 4. Nonequilibrium 5. . Codice articolo 597074551
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Hardback. Condizione: New. Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: 1.Connectivity 2.Autonomy 3.Emergency 4.Nonequilibrium 5.Non-linearity 6.Self-organisation 7.Co-evolution The thesis of the 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 extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing.Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics. Codice articolo LU-9781845649364
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Hardback. Condizione: New. Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: 1.Connectivity 2.Autonomy 3.Emergency 4.Nonequilibrium 5.Non-linearity 6.Self-organisation 7.Co-evolution The thesis of the 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 extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing.Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics. Codice articolo LU-9781845649364
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Buch. Condizione: Neu. Neuware - 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. Codice articolo 9781845649364
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