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Engineering Emergence - A Modeling and Simulation Approach (Hardcover)
Loot Price: R4,341
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Engineering Emergence - A Modeling and Simulation Approach (Hardcover)
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This book examines the nature of emergence in context of man-made
(i.e. engineered) systems, in general, and system of systems
engineering applications, specifically. It investigates emergence
to interrogate or explore the domain space from a modeling and
simulation perspective to facilitate understanding, detection,
classification, prediction, control, and visualization of the
phenomenon. Written by leading international experts, the text is
the first to address emergence from an engineering perspective.
"System engineering has a long and proud tradition of establishing
the integrative view of systems. The field, however, has not always
embraced and assimilated well the lessons and implications from
research on complex adaptive systems. As the editors' note, there
have been no texts on Engineering Emergence: Principles and
Applications. It is therefore especially useful to have this new,
edited book that pulls together so many of the key elements,
ranging from the theoretical to the practical, and tapping into
advances in methods, tools, and ways to study system complexity.
Drs. Rainey and Jamshidi are to be congratulated both for their
vision of the book and their success in recruiting contributors
with so much to say. Most notable, however, is that this is a book
with engineering at its core. It uses modeling and simulation as
the language in which to express principles and insights in ways
that include tight thinking and rigor despite dealing with notably
untidy and often surprising phenomena." - Paul K. Davis, RAND and
Frederick S. Pardee RAND Graduate School The first chapter is an
introduction and overview to the text. The book provides 12
chapters that have a theoretical foundation for this subject.
Includes 7 specific example chapters of how various modeling and
simulation paradigms/techniques can be used to investigate
emergence in an engineering context to facilitate understanding,
detection, classification, prediction, control and visualization of
emergent behavior. The final chapter offers lessons learned and the
proposed way-ahead for this discipline.
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