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Complex Systems occur in an infinite variety of problems, not only
in the realm of physical sciences and engineering, but encompassing
fields as diverse as economy, the environment, humanities, social
and political sciences. The high level of dynamics of such systems,
which is usually expressed through the frequent occurrence of
unpredictable disruptive events, makes conventional optimizers,
batch schedulers and resource planning systems unworkable. Composed
of selected research papers, this book brings together new
developments and processes for managing complexity. The included
works originate from renowned complexity thinkers, well established
practitioners and new researchers in the field and detail issues of
common interest. This title will particularly appeal to
researchers, developers and users of complex systems from a variety
of disciplines, alongside specialists in modelling complex issues.
Containing selected papers on the fundamentals and applications of
Complexity Science, this multi-disciplinary book presents new
approaches for resolving complex issues that cannot be resolved
using conventional mathematical or software models. Complex Systems
problems can occur in a variety of areas such as physical sciences
and engineering, the economy, the environment, humanities and
social and political sciences. Complexity Science problems, the
science of open systems consisting of large numbers of diverse
components engaged in rich interaction, can occur in a variety of
areas such as physical sciences and engineering, the economy, the
environment, humanities and social and political sciences. The
global behaviour of these systems emerges from the interaction of
constituent components and is unpredictable but not random. The key
attribute of Complex Systems is the ability to self-organise and
adapt to unpredictable changes in their environment. Renown
complexity thinkers and practitioners as well as those who are new
to the area of complexity will find interest in this book.
This multi-disciplinary book presents new approaches for resolving
complex issues that cannot be resolved using conventional
mathematical or software models.Complex Systems occur in an
infinite variety of problems encompassing fields as diverse as
economics, the environment, humanities, social and political
sciences, physical sciences and engineering. The papers in the book
cover such topics as: Complex business processes; Supply chain
complexity; Complex adaptive software; Management of complexity;
Complexity in social systems; Complexity in engineering; Complex
issues in biological and medical sciences; Complex energy systems
Complexity and evolution.
The papers contained in this volume were originally presented at
the 2015 International Conference on Complex Systems in Business,
Administration, Science and Engineering. Included are the latest
works of practitioners from a variety of disciplines who have
developed new approaches for resolving complex issues that cannot
be formulated using conventional, mathematical or software
models.Complex Systems occur in an infinite variety of problems,
not only in the realm of physical sciences and engineering, but
also in such diverse fields as economics, the environment,
humanities, and social and political sciences.The papers in the
book cover such topics as: Complex ecological systems; Complexity
science and urban developments; Complex energy systems; Complex
issues in biological and medical sciences; Extreme events: natural
and human made disasters; Climate change; Complexity of the
internet-based global market; Complex business processes; Supply
chain complexity; Transportation complexity; Logistics complexity;
Closed and open systems; Attractions and chaotic systems; Complex
adaptive software; Complexity of big data; Management of
complexity; Global economy as a complex system; Complexity in
social systems; Complex political systems; Administrations as
complex systems; Complexity in engineering; Complexity and
environment; Complexity and evolution; Complexity in linguistics,
literature and arts.
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.
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