Encyclopedia of Complexity and Systems Science
Now Published (2009)
Launch at ECCS'09
Launch reception for the Encyclopedia of Complexity and Systems Science at ECCS!
I kindly invite you to join us at the reception at the ECCS 2009 (European Conference on Complex Systems 2009) to celebrate the launch of the* Encyclopedia of Complexity and Systems Science*. Free drinks and snacks will be served!
- ECCS Conference: 21-25 September 2009, University of Warwick, UK - *Reception: Wednesday September 23, 19.00*, Panorama room
Optional Conference Dinner starts afterwards at 20.00. Registration for the dinner (£30) via the ECCS site. http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jXXWx.Byc5Ig..N.IL%2a4.3E1k.bW89MQ%5f%5fCdCAFOM
Here are just a few entries that could be found on the web as of 2007:
Mark S. Bebbington Volcanic Eruptions: Stochastic Models of Occurrence Patterns
John Smith ... Cellular Automata (Partial- illustrative only]
Bertrand M. Roehner Econophysics: origin, basic principles and perspectives
Palle E. T. Jorgensen, Myung-Sin Song Comparison of Discrete and Continuous Wavelet Transforms
N. Gans, G. Hu, and W. E. Dixon Image Based State Estimation
G. Hu, N. Gans, and W. E. Dixon, [ Adaptive Visual Servo Control]
J. R. Holliday, J. B. Rundle, and D. L. Turcotte. [ Earthquake Forecasting and its Verification]
Chaisson, E.J. [ Exobiology and Complexity]
The Encyclopedia of Complexity and Systems Science ia a complete and highly detailed presentation of the tools, accomplishments and applications of complexity and systems science. There will be 200 articles on the mathematical (e.g. probability and statistics, graph theory, complex network theory, game theory, nonlinear differential equations, cellular automata, synergetics, perturbation theory, fractals, etc.) and modeling basis (agent based modeling and simulation, soft computing, granular computing, data mining and knowledge discovery, computational complexity theory, artificial cells, etc.) for approaching complex systems, at a high academic level. We plan to provide 300 articles describing progress using these tools in physics, econometrics, ecosystems, climate change, weather prediction, nanoelectronics, complex networks, quantum computing, chemistry, astrophysics, geophysics, systems biology, physical biology, bioinformatics, medicine, system dynamics, engineering, control and dynamical systems, and robotics as well as social, economics and political sciences. The approach is to provide detailed 15 to 20 printed page carefully selected peer reviewed articles of a level far superior to that found on the world wide web.
The Encyclopedia of Complexity and System Science will consist of about 200 entries that each outline basic underlying concepts and computational and statistical methods in the physical sciences and mathematics, including self-organization, dynamical systems, turbulence, fractals, nonlinearity, stochastic/chaotic processes, game theory, etc. In addition, this reference will showcase the applications of complex systems across a range of traditional disciplines and scientific phenomena, and show how complex analysis, modeling, and simulation is transforming fields as diverse as engineering, supramolecular chemistry, environmental sciences/ecology, economics, and biomedicine. It is anticipated that these applied entries will total another 300 articles.
The audience for this reference is upper-division undergraduate and graduate students who will need these concepts and tools on career paths leading to nanotechnology, societal macrosystems, and every size scale in between. This reference will be of similar value to practitioners in such areas as condensed matter physics, computational chemistry, mathematical biology, systems ecology, and financial analysis who need an authoritative reference to this new and exciting field. As stated on the “Springer Complexity” home page, complex systems are systems that comprise many interacting parts with the ability to generate a new quality of collective behavior through self-organization, e.g. the spontaneous formation of temporal, spatial or functional structures. This recognition, that the collective behavior of the whole system cannot be simply inferred from the understanding of the behavior of the individual components, has led to various new concepts and sophisticated tools of complexity. The main concepts and tools - with sometimes overlapping contents and methodologies – include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. The topics treated are as diverse as lasers or fluids in physics, microprocessor design and electric circuits with feedback in engineering, macromolecular assembly in chemistry and biophysics, morphogenesis in biology, brain functions in cognitive neuroscience, climate change, fisheries management, traffic management, business cycles, information systems, and the formation of public opinion. All these seemingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another.