Cities And Regions As Self Organizing Systems

Author: Peter M. Allen
Publisher: Routledge
ISBN: 1135301719
Size: 26.65 MB
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A clear methodological and philosophical introduction to complexity theory as applied to urban and regional systems is given, together with a detailed series of modelling case studies compiled over the last couple of decades. Based on the new complex systems thinking, mathematical models are developed which attempt to simulate the evolution of towns, cities, and regions and the complicated co-evolutionary interaction there is both between and within them. The aim of these models is to help policy analysis and decision-making in urban and regional planning, energy policy, transport policy, and many other areas of service provision, infrastructure planning, and investment that are necessary for a successful society.

Unifying Themes In Complex Systems Iv

Author: Ali A. Minai
Publisher: Springer Science & Business Media
ISBN: 3540738495
Size: 57.42 MB
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In June of 2002, over 500 professors, students and researchers met in Boston, Massachusetts for the Fourth International Conference on Complex Systems. The attendees represented a remarkably diverse collection of fields: biology, ecology, physics, engineering, computer science, economics, psychology and sociology, The goal of the conference was to encourage cross-fertilization between the many disciplines represented and to deepen understanding of the properties common to all complex systems. This volume contains 43 papers selected from the more than 200 presented at the conference. Topics include: cellular automata, neurology, evolution, computer science, network dynamics, and urban planning. About NECSI: For over 10 years, The New England Complex Systems Institute (NECSI) has been instrumental in the development of complex systems science and its applications. NECSI conducts research, education, knowledge dissemination, and community development around the world for the promotion of the study of complex systems and its application for the betterment of society. NECSI hosts the International Conference on Complex Systems and publishes the NECSI Book Series in conjunction with Springer Publishers. ALI MINAI is an Affiliate of the New England Complex Systems Institute and an Associate Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Cincinnati. YANEER BAR-YAM is President and founder of the New England Complex Systems Institute. He is the author of Dynamics of Complex Systems and Making Things Work: Solving Complex Problems in a Complex World.

Systems Engineering For Business Process Change

Author: Peter Henderson
Publisher: Springer Science & Business Media
ISBN: 9781852332228
Size: 40.55 MB
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A very large proportion of commercial and industrial concerns in the UK find their business competitiveness dependent on huge quantities of already installed, legacy IT. Often the nature of their business is such that, to remain competitive, they have to be able to change their business processes. Sometimes the required change is radical and revolutionary, but more often the required change is incremental. For such incremental change, a major systems engineering problem arises. The cost and delay involved in changing the installed IT to meet the changed business requirements is much too high. In order to address this issue the UK Engineering and Physical Science Research Council (EPSRC) set up, in 1996, a managed research programme entitled Systems Engineering for Business Process Change (SEBPC). I was appointed as co-ordinator of the programme. The overall aim of this new managed research programme was to release the full potential of IT as an enabler of business process change, and to overcome the disabling effects which the build-up of legacy systems has on such change. As such, this aim addressed a stated objective of the Information Technology and Computer Science (IT&CS) part of EPSRC to encourage research at a system level.

Dynamic Patterns

Author: J. A. Scott Kelso
Publisher: MIT Press
ISBN: 9780262611312
Size: 50.12 MB
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foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels -- from neurons to mind -- is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency.Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics.Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.

Cities And Complexity

Author: Michael Batty
Publisher: Mit Press
ISBN: 9780262524797
Size: 41.91 MB
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Viewing urban dynamics in the context of complexity theory; models and examples in scales from the local to the regional.