Emergent Behavior in Complex Systems Engineering: A Modeling and Simulation Approach - Rilegato

Rilegato

ISBN 10: 1119378869 ISBN 13: 9781119378860

Casa editrice: John Wiley & Sons Inc, 2018

Riassunto

A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fields

In Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today’s modern world. Scientific theories introduced in the last five decades can now be realized with the latest computational infrastructure. Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation.

The text offers a number of simulation-based methods, technologies, and approaches that are designed to encourage the reader to incorporate simulation technologies to further their understanding of emergent behavior in complex systems. The authors present a resource for those designing, developing, managing, operating, and maintaining systems, including system of systems. The guide is designed to help better detect, analyse, understand, and manage the emergent behaviour inherent in complex systems engineering in order to reap the benefits of innovations and avoid the dangers of unforeseen consequences. This vital resource:

• Presents coverage of a wide range of simulation technologies
• Explores the subject of emergence through the lens of Modeling and Simulation (M&S)
• Offers contributions from authors at the forefront of various related disciplines such as philosophy, science, engineering, sociology, and economics
• Contains information on the next generation of complex systems engineering

Written for researchers, lecturers, and students, Emergent Behavior in Complex Systems Engineering provides an overview of the current discussions on complexity and emergence, and shows how systems engineering methods in general and simulation methods in particular can help in gaining new insights in complex systems engineering.

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Informazioni sull?autore

SAURABH MITTAL, PhD, is Lead Systems Engineer/Scientist at MITRE Corporation, USA. He is also affiliated with Dunip Technologies, LLC, USA and Society of Modeling Simulation International, USA. He is a recipient of US Department of Defense's highest civilian contractor recognition: Golden Eagle. He has co-authored over eighty articles including two books: Netcentric System of Systems Engineering with DEVS Unified Process (CRC Press 2013) and Guide to Simulation-based Disciplines: Advancing our Computational Future (Springer 2017).

SAIKOU DIALLO, PhD, is a Research Associate Professor at Old Dominion University's Virginia Modeling, Analysis and Simulation Center. Dr. Diallo has studied the concepts of interoperability of simulations and composability of models for over ten years. He is the Vice President in charge of conferences and a member of the Board of Directors for the Society for Modeling and Simulation International (SCS). Dr. Diallo has over one hundred publications in peer-reviewed conferences, journals and books.

ANDREAS TOLK, PhD, is Division Technology Integrator at The MITRE Corporation and Adjunct Professor at the Old Dominion University. He is a Fellow of the Society for Modeling and Simulation. He published several books on systems engineering and modeling and simulation topics, among them: Engineering Principles of Combat Modeling and Distributed Simulation (Wiley 2012), Modeling and Simulation Support for System of Systems Engineering Applications (Wiley 2015), and The Profession of Modeling and Simulation (Wiley 2017).

Dalla quarta di copertina

A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fields

In Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today's modern world. Scientific theories introduced in the last five decades can now be realized with the latest computational infrastructure. Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation.

The text offers a number of simulation-based methods, technologies, and approaches that are designed to encourage the reader to incorporate simulation technologies to further their understanding of emergent behavior in complex systems. The authors present a resource for those designing, developing, managing, operating, and maintaining systems, including system of systems. The guide is designed to help better detect, analyse, understand, and manage the emergent behaviour inherent in complex systems engineering in order to reap the benefits of innovations and avoid the dangers of unforeseen consequences. This vital resource:

• Presents coverage of a wide range of simulation technologies
• Explores the subject of emergence through the lens of Modeling and Simulation (M&S)
• Offers contributions from authors at the forefront of various related disciplines such as philosophy, science, engineering, sociology, and economics
• Contains information on the next generation of complex systems engineering

Written for researchers, lecturers, and students, Emergent Behavior in Complex Systems Engineering provides an overview of the current discussions on complexity and emergence, and shows how systems engineering methods in general and simulation methods in particular can help in gaining new insights in complex systems engineering.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1119378869
• ISBN 13: 9781119378860
• Rilegatura: Copertina rigida
• Numero di pagine: 395
• Redattore: Mittal Saurabh, Diallo Saikou, Tolk Andreas
• Contatto del produttore: WROX; https://www.wiley.com/en-us; ; 111 River Street; Hoboken; NJ; 7030; U.S.A.
• Persona responsabile: non disponibile