Managing Complexity
Rzevski
ISBN 10: 1845649362 ISBN 13: 9781845649364
Published by Wit Pr/Computational Mechanics, 2014
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Synopsis:
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.
Review:
...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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Bibliographic Details
Title: Managing Complexity
Publisher: Wit Pr/Computational Mechanics
Publication Date: 2014
Binding: Hardcover
Condition: Brand New
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Hardback. Condition: 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. Seller Inventory # LU-9781845649364
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Hardback. Condition: 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. Seller Inventory # LU-9781845649364
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