61. MASCOS Statistics of complex systems 2004 Annual Report is now available for download . of Excellence for Mathematics and Statistics of complex systems 2004. http://www.complex.org.au/

Home About Research Events ... Enquiries Todays date: Saturday 17th of September 2005 Events this week Current News MASCOS 2004 Annual Report Wednesday 20th of April 2005 The ARC Centre of Excellence for Mathematics and Statistics of Complex Systems 2004 Annual Report is now available for download. Download MASCOS Newsletter Thursday 9th of June 2005 The ARC Centre of Excellence for Mathematics and Statistics of Complex Systems June 2005 Newsletter is now available for download. Download UNSW Patents and Mathematics Workshop Monday 5th of September 2005 Presentations from this workshop are now available for download. Download Featured Research Projects "SELF-AVOIDING WALKS" by Iwan Jensen (Associate Investigator), S. Caracciolo (U. Milano, Italy), Tony Guttmann (Chief Investigator), A. Pelissetto (U. Roma, Italy), Andrew Rogers (PhD student) and Alan Sokal (NYU, USA). Jensen, Guttmann, Rogers and associates have developed algorithms for the enumeration of self-avoiding walks (a model relevant to polymer science) on various lattices. They have significantly extended the series for the square, triangular and honeycomb lattices including series for metric properties such as the end-to-end distance and radius of gyration. In collaboration they undertook a careful and extensive study of the series (supplemented by Monte Carlo simulations) of the correction-to-scaling exponent of self-avoiding walks on two-dimensional lattices. "MONTE CARLO SIMULATIONS OF DNA DISENTANGLEMENT" by Aleks Owczarek (Chief Investigator), Andrew Rechnitzer (Associate Investigator), Yao-Ban Chan(Centre PhD Scholar).

62. Complexity Digest - Networking The Complexity Community Complexity digest (ComDig) provides weekly news digest from the fields of science The 4th Intl Workshop on Metasynthesis and complex system, Beijing, http://www.comdig.org/

63. Welcome To Ozaki Laboratory Includes papers on complex systems analysis, including stochastic dynamic simulation of finance and controlled engineering, spatial modeling in brain science. http://www.ism.ac.jp/~ozaki/ozaki.htm

Our lab advocates the Akaike Principle, i.e. "To Maximize the expected Boltzmann Entropy" JAPANESE Department of Prediction Control Institute of Statistical Mathematics/The Graduate University for Advanced Studies. Team Leader: Tohru Ozaki E-mail: ozaki@ism.ac.jp

64. Complex Systems Group @ FHI Berlin - Welcome! complex systems Group Prof. Dr. AS Mikhailov Foyer Address People ResearchVideos Publications Seminars Events Links For Us http://www.fhi-berlin.mpg.de/complsys/

Complex Systems Group Prof. Dr. A. S. Mikhailov Foyer Address People ... Fritz-Haber-Institut der Max-Planck-Gesellschaft Complex Systems Group Prof. Dr. A. S. Mikhailov AC CP MP ... MPG Welcome! Farbstudie Quadrate mit konzentrischen Ringen Wassily Kandinsky (1866-1944) Address: Abt. Physikalische Chemie Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany Tel.: Fax: Questions, remarks concerning this website? Please contact O. Rudzick

65. Department Of Applied Analysis And Complex Dynamical Systems Department of Applied Analysis and Complex Dynamical Systems. Macroscopic phenomena of complex systems consisting of microscopic elements, mostly via nonlinear, largescale interactions. http://www.acs.i.kyoto-u.ac.jp/index-e.html

APPLIED ANALYSIS COMPLEX DYNAMICS COMPLEX SYSTEMS SYNTHESIS Japanese Page ... APPLIED ANALYSIS ANALYSIS OF INVERSE PROBLEMS Professor ISO, Yuusuke, D.Sc.(Kyoto Univ.), Numerical Analysis, Mathematical Analysis of Inverse and Ill-posed Problems Lecturer KUBO, Masayoshi, D.Sc.(Kyoto Univ.), Mathematical Analysis of Inverse and Ill-posed Problems, Numerical Analysis Research Associate WAKANO, Isao Numerical Analysis, Mathematical Analysis of Fracture Mechanics NONLINEAR ANALYSIS Professor KIGAMI, Jun, D.Sc.(Kyoto Univ.), Analysis and Dynamical System, Analysis on Fractals Lecturer HINO, Masanori, D.Sc.(Kyoto Univ.), Probability Theory, Stochastic Analysis on Infinite Dimensional Spaces COMPLEX DYNAMICS NONLINEAR DYNAMICS Professor FUNAKOSHI, Mitsuaki, D.Eng.(Kyoto Univ.), Nonlinear Dynamics, Fluid Dynamics, Dynamics of Complex Systems Associate Professor TANAKA, Hiroaki, D.Eng.(Kyoto Univ.), Structural Reliability, Stochastic Mechanics Research Associate KANEKO, Yutaka, D.Eng.(Kyoto Univ.), Computational Physics Current research activities cover the following fields: Chaotic fluid motion and its relation to mixing process Controlling and suppression of chaos in coupled systems Generation, interactions and pattern formation of nonlinear waves in fluids

66. InterJournal Distributed, selforganizing electronic referred journals on selected topics oncomplex systems and related sciences. http://www.interjournal.org/

67. Is The Complement System Irreducibly Complex? An irreducibly complex system cannot be produced gradually by slight, of aprecursor system, since any precursor to an irreducibly complex system is by http://www.talkorigins.org/faqs/behe/icsic.html

Is the Complement System Irreducibly Complex? by Mike Coon [Last Update: April 4, 2002] "By irreducible complexity I mean a single system which is composed of several interacting parts that contribute to the basic function, and where the removal of any one of the parts causes the system to effectively cease functioning. An irreducibly complex system cannot be produced gradually by slight, successive modifications of a precursor system, since any precursor to an irreducibly complex system is by definition nonfunctional." Michael Behe his essay is intended to back up some elements of Keith Robison's excellent FAQ detailing the shortcomings of Behe's arguments ( http://www.talkorigins.org/faqs/behe/review.html ). Another excellent rebuttal by H. Allen Orr can be found at http://bostonreview.net/br21.6/orr.html . See also http://bostonreview.net/evolution.html for several articles on intelligent design and irreducible complexity by Orr, Russell F. Doolittle, Douglas J. Futuyma, Richard Dawkins, Michael Behe, Phillip Johnson and David Berlinski among others. Many people on Talk.Origins (T.O.) and elsewhere have outlined the conceptual reasons why Darwinian evolution can produce irreducibly complex (IC) systems. I try here to present some evidence to back up these concepts. In Robison's

68. CSIRO Manufacturing & Infrastructure Technology About Australian research and development programs in technology areas including materials, complex systems integration, manufacturing, and construction. http://www.cmit.csiro.au/

Search About CMIT Locations Contacts ... Fire Science CSIRO's Magnesium Sheet Production Process Licensed CSIRO has signed an exclusive option to licence its magnesium sheet production process with Magnesium International Limited's subsidiary Magnesium International (No 1) Pty Ltd. CSIRO Industrial Refractories Providing an extensive range of independent testing, assessment, research and consulting services to support the development and competitiveness of Australia's manufacturing, building and construction industries. BROCHURES: Products, services and technologies more news... more technologies... CSIRO Corporate Email us

69. Irreducible Complexity And Michael Behe On Intelligent Design An irreducibly complex system cannot be produced directly (that is, by continuously An irreducibly complex biological system, if there is such a thing, http://www.talkorigins.org/faqs/behe.html

Irreducible Complexity and Michael Behe Do Biochemical Machines Show Intelligent Design? Other Links: Molecular Machines: Experimental Support for the Design Inference Michael Behe presents a briefer version of the argument from design that appears in his book. Behe's Empty Box This web page contains many links to web pages supporting or criticizing Behe's work. American Scientist Review of Black Box In this American Scientist magazine book review, Yale biologist Robert Dorit identifies six fallacies that plague Behe's book. Darwin v. Intelligent Design (Again) Biologist H. Allen Orr scathingly critiques Behe's book. Boston Review: Articles on Evolution A number of articles and reviews written by people with several opinions of Behe's book appear here. The Evolution of Vertebrate Blood Clotting Dr. Kenneth Miller lays out a simple and plausible evolutionary pathway for the vertebrate blood clotting cascade, one of Behe's touted examples of an "irreducibly complex" system. n 1996, the Free Press published a book by Lehigh University biochemist and intelligent design advocate Michael Behe called Darwin's Black Box: The Biochemical Challenge to Evolution . The book's central thesis is that many biological systems are "irreducibly complex" at the molecular level. Behe gives the following definition of irreducible complexity: By irreducibly complex I mean a single system composed of several well-matched, interacting parts that contribute to the basic function, wherein the removal of any one of the parts causes the system to effectively cease functioning. An irreducibly complex system cannot be produced directly (that is, by continuously improving the initial function, which continues to work by the same mechanism) by slight, successive modifications of a precursor system, because any precursor to an irreducibly complex system that is missing a part is by definition nonfunctional. An irreducibly complex biological system, if there is such a thing, would be a powerful challenge to Darwinian evolution. (p. 39)

70. JDEVS, DEVS OO Modeling And Simulation Toolkit For Ecosystem Modeling. Software as framework for a Phd thesis on Natural complex system modeling and simulation Java environment based on Object Oriented, includes devs simulation engine, a GUI and XML models. The site also contains publication on the project. http://spe.univ-corse.fr/filippiweb/

[ Subject ] This website hosts the Research project of Jean Baptiste Filippi . Its aim is to develop an ecosystem modeling and simulation environment that is easy to use, powerful, and fast. To achieve this goal, I chose Object-Oriented modeling and discrete event simulation along with Java. To date, two fully functional softwares have been developed ( Publications). You will find the theoretical background here Come back soon, as more classified links and publications are added. [ Topic ] Developing a new methodology for modeling and simulating natural complex systems using Neural Networks and discrete event simulation linked with a GIS for data handling. "Développement d'une technique hybride de modélisation de systémes naturels complexes utilisant les modèles connexionnistes et orientés objets couplées à un système d'information géographique" [ Software ] (click here for more) Neural Net to predict Catchman bassin flow DEVS applet simulates propagation in Ajaccio Propriano Bay (Corsican west coast) 3D Catchment basin applet !

71. Complex Systems And Soft Materials Program In Norway The complex systems and Soft Materials Program is a collaborative effort betweenthree research What are complex systems? Literature Who are we? http://www.phys.ntnu.no/complex/

NORSK VERSJON A Science Program in Norway Complex Systems and Soft Materials The Complex Systems and Soft Materials Program is a collaborative effort between three research groups in Norway: The Complex Systems and Soft Materials Group at the University of Oslo, the Complex Systems and Soft Materials Group at the Norwegian University of Science and Technology (NTNU), and the Physics Department at the Institute for Energy Technology (IFE). Since January 2003 we have been awarded funds and status as a STRATEGIC UNIVERSITY PROGRAM (SUP) in Norway by the Norwegian Research Council (NFR). This grant is given based on a thorough evaluation of our work by a group of renowned international experts. The SUP grant is a formal recognition of the importance of our research to the international as well as to the Norwegian society. Our focus is the physics of soft condensed matter and collective phenomena in mesoscopic and macroscopic systems. An example of soft condensed matter is clay. It is soft, i.e. macroscopically non-crystalline, and it shows a fantastic richness in behavior under different conditions. Given that the world is full of clay, it is surprising how little is known about its physical properties. An example of a collective phenomenon in a macroscopic physical system is that of fracture: When a material is failing under stress, fractures develop due to the stress field. The stress field in turn develops due to the fractures. It becomes a bootstrap process, and this is the meaning of a collective phenomenon.

72. COSNet - ARC Complex Open Systems Research Network ARC Complex Open Systems Research Network. www.complexsystems.net.au characterising and analysing complex systems for explanation, prediction and http://www.complexsystems.net.au/

ARC Complex Open Systems Research Network www.complexsystems.net.au Home Joining Participants Nodes ... admin area (restricted access) Welcome to COSNet - the ARC Complex Open Systems Research Network 'characterising and analysing complex systems for explanation, prediction and control' Complexity is the common frontier in the physical, biological and social sciences. This Network will link specialists in all three sciences through five generic conceptual and mathematical theme activities. It will promote research into how subsystems self-organise into new emergent structures when assembled into an open, non-equilibrium system. Outcomes will include new technologies and software tools and deeper understanding of fundamental questions in science. An essential function of the network will be introducing researchers and end users to new tools and broadening the horizons of graduate students. How did life emerge from primordial chaos? Can we tame a turbulent burning fusion plasma to power our civilisation in coming centuries? Can we design an economic system that works without cyclic booms and busts? These, and many others, are the kinds of big questions that complexity theory seeks to answer by providing the conceptual and mathematical tools to describe and model open systems with many interacting components. By preparing Australian researchers to move beyond the comfort zone of their own specialisations, to learn a language in which they can communicate, the Network will provide an integrative force that will foster new industries and lead to benefits in human health, national security, economic well-being and sustainability.

73. Abrahadabra - Every Man And Every Woman Is A Star. A versatile and complex system of elements is born from a simple binary mathematics. http://www.abrahadabra.com/

Welcome to Abrahadabra.com! The Theory and Practice of Mutational Alchemy will be defined here. At the apex of Sacred Geometry and Alchemical Science stands the formula of Abrahadabra.

74. Center For Complex Systems Research Research group which studies phenomena of multivariante systems with a large flow, such as turbulence, lightenings, and information flow on the internet. http://www.ccsr.uiuc.edu/

Center for Complex Systems Research University of Illinois ABOUT PEOPLE RESEARCH EDUCATION SEMINAR/SYMPOSIUM ... RECENT PUBLICATIONS The Center for Complex Systems Research (CCSR) studies systems that display adaptive, self-organizing behavior and systems that are usually characterized by a large throughput, such as turbulent flow, lightning, and the flow of information through the internet. To describe these complex systems, we develop models and techniques drawn from nonlinear dynamics and chaos, neural nets, cellular automata, artificial life, and genetic algorithms. Each year CCSR organizes and hosts the conference Understanding Complex Systems The Center for Complex Systems Research has a rich history. Founded in 1986 by Stephen Wolfram, the center was later led by Norman Packard and E. Atlee Jackson. A collection of technical reports and scientific publications of CCSR researchers ranging from cellular automata to entrainment control of chaos, experimental studies of turbulent flows, chaotic electronic circuits, and fractal agglomeration patterns is available. The research at CCSR is supported by the National Science Foundation Grant No. NSF PHY 01-40179, NSF DMS 03-25939 ITR, and NSF DGE 03-38215

75. Complex Systems Lab - Stefan Bornholdt We study general principles of complex systems in nature from the DynamicalNetworks in complex systems, Europhysics Conference Abstracts Vol. http://www.itp.uni-bremen.de/complex/

Complex Systems Lab Institute for Theoretical Physics University of Bremen Otto-Hahn-Allee D-28359 Bremen Germany Tel: +49-421-218-8198 (Secr. -4656) Fax: +49-421-218-9104 Research: Our living world is made up of simple elementary forces and constitutents. But how do these work together to make life, evolution, brains, genomes, immune systems, societies? We study general principles of complex systems in nature from the perspective of statistical physics, often reducing a system to the most simple working model for a particular phenomenon. We use methods from statistical and computational physics, and our main tool, the computer, allows for the new kind of "experimental" theoretical physics. Research topics are interdisciplinary with current emphasis on: Complex networks, Theoretical biophysics, Self-organized criticality, Socio- and Econophysics. NEWS: Symposium "Biological and Social Networks" (SYBN) at the March 2005 meeting of the German Physical Society Lab members: Stefan Bornholdt (head) 0421-218-8198 bornholdt Stefan Braunewell (PhD student) 0421-218-3195 braunewell Felix Beyer (Masters student) 0421-218-3211 beyer Agnes Janssen (Secretary) 0421-218-4656 janssen Stanislaus Brachmann (Technician) 0421-218-2722 brachmann Former members: Holger Ebel (D-fine)

76. Workshop On Complex System Modeling From fractals measurements to modeling complex systems How do we get there? In keeping with this purpose, a oneday class on complex systems, http://minerals.usgs.gov/west/seminar.shtml

About USGS Science topics Publications Education ... Advanced Search Workshop on Modeling Complex Systems Download .pdf of Workshop announcement From fractals measurements to modeling complex systems: How do we get there? These blind men, every one honest in his contentions and certain of having the truth, formed schools and sects and factions. . . Buddha November 20-21, 2002 Reid Engineering Laboratory Conference Facility University of Nevada, Reno Keynote speaker: Stuart Kauffman "Molecular Autonomous Agents: A Possible Definition of Life, And a Possible Technological Revolution" Dinner keynote speaker: Stephen Wolfram "A New Kind of Science" Important links Program schedule invited speakers Class description Abstract submission, ... registration ATTENTION USGS employees attending. Please download and follow these guidelines for reimbursment The focus of this workshop will be on the application of complex-systems analysis in the Earth sciences, the biological sciences, and engineering. The intended participants in this workshop range from scientists who are well schooled in complex systems to scientists who are interested in exploring how the complex systems approach can advance their research efforts. In the spirit of this workshop, a purposeful level of pedagogy is encouraged in the presentations. In keeping with this purpose, a one-day class on complex systems, offered for separate enrollment by the

77. Visualizing Complex Systems Computer systems are becoming increasingly complex due to both the growing Because of the complexity of computer systems, the analysis process is a http://graphics.stanford.edu/projects/rivet/

Visualizing Complex Systems: The Rivet Project Project members Pat Hanrahan Mendel Rosenblum Chris Stolte Diane Tang ... John Gerth Emeritus members Robert Bosch Viz gallery Computer systems Mobile networks Memory profiling Superscalar processors System monitoring ... Parallel systems Relational databases Polaris Links Visualization papers Visualization talks Computer, Visualize Thyself CS348C (Autumn 1996) Sponsors ASCI DARPA Related Projects SimOS The Polaris Project has its own web page now. The Rivet Visualization Environment Rivet is a general-purpose environment for the analysis and visualization of complex systems. Rivet is a powerful and flexible system, providing analysts with a single tool that can be learned once and applied to a wide range of problems. The underlying approach in the development of Rivet is to understand and analyze the visualization process itself: to identify the set of fundamental visualization components, or building blocks, and define their interfaces and relationships. Users can then develop sophisticated visualizations by writing scripts that create and connect these basic building blocks. This approach, and the resulting modular architecture, provides several significant advantages: Extensibility.

78. Creation Watch - CSICOP Why Are Scientists Confident that Complex Biological Systems Evolved Gradually? If we find that a particular organism possesses a complex system made http://www.csicop.org/creationwatch/actualism.html

Creation Watch Hosted by the Committee for the Scientific Investigation of Claims of the Paranormal CSICOP Home Skeptical Inquirer Inquiring Minds Skeptiseum ... Links Why Are Scientists Confident that Complex Biological Systems Evolved Gradually? By Jason Rosenhouse Proponents of intelligent design (ID) assert that certain complex biological systems could not emerge from a gradual evolutionary process. They argue instead that such structures are best explained via the deliberate action of an unspecified intelligent designer. Few scientists endorse this conclusion, and they have good reasons for being skeptical. They understand that the prolonged action of natural selection can be expected to leave traces behind in the structure of modern organisms. And when scientists go looking for those traces they invariably find them in droves. Recall that natural selection operates by preserving small, favorable variations that occur naturally in any population of organisms. Over time these variations accumulate to the point that large-scale change is the result. This implies that natural selection works by modifying structures already present in the organism. It does not craft new, complex systems from scratch. This observation is crucial in distinguishing between those systems that could have been crafted by selection and those that could not have been. If we find that a particular organism possesses a complex system made from parts wholly distinct from anything to be found in the organism’s closest evolutionary cousins, it will be difficult to explain that system via selection. But if we find that the system appears to be cobbled together from parts that were readily available, then natural selection remains a strong candidate.

79. When Complex Systems Fail: New Roles For Leaders -- Margaret J. Wheatley Full-te When complex systems fail, prevailing models of leadership offer little help . The study of complex systems and past experience with more isolated http://www.pfdf.org/leaderbooks/l2l/winter99/wheatley.html

Share this Page Subscribe Contact Us Links ... Home Mission: To strengthen the leadership of the social sector Articles, Books, Resources Collaboration Self-Assessment Thought Leaders Forum ... Subscribe When Complex Systems Fail: New Roles for Leaders by Margaret J. Wheatley Leader to Leader, No. 11 Winter 1999 Thought Leaders Forum: Margaret J. Wheatley Margaret J. Wheatley Leadership and the New Science , and co-author of A Simpler Way . She speaks and consults internationally to a wide variety of organizations. Her work focuses on developing increased organizational capacity, intelligence, and humaneness through applying natural science principles of self-organization. (12/98) More on Margaret J. Wheatley From Leader to Leader, No. 11 Winter 1999 Table of Contents From the Editors Resources Additional resources for this article he Year 2000 (Y2K) problem the inability of many computer systems to process dates after 1999, and the operational breakdowns that will likely result is presenting us with some new and startling realizations. It is making visible the ways in which we have woven the world together through technology. It is showing how both local and global systems are dependent and interdependent on the smooth functioning of computers. While we cannot predict which of these systems will fail, we do know that few nations or systems will remain unaffected. The unprecedented global scope of Y2K represents a new breed of systemic problems. When complex systems fail, prevailing models of leadership offer little help. What we learn now with Y2K can prepare us for a future where more and more failures of complex systems will confront us. It can also help us look beyond the confines of in-house systems and structures, and to see new, more effective ways to lead our business and social institutions.

80. Mandelbrot Set, Poincare Section & Lorenz Attractor As Orbitals Gallery of chaotic and complex systems and attractors from the University of Zaragoza, Spain. http://www.cps.unizar.es/~jlsubias/

IMAGES FROM CHAOS UNIVERSITY OF ZARAGOZA Representing attractors by orbitals clik here to learn more Numerical experiments, Mathematical models, Fractals... Mandelbrot set Mandelbrot set Zoom of Mand. set Zoom of Mand. set Zoom of Mand. set Zoom of Mand. set Zoom of Mand. set Zoom of Mand. set Newton's method Lorenz Attractor Lorenz XYplane Lorenz XZplane Space Balls YZ S pace B alls X Y Space Balls XZ Poincare Section Poincare Section Poincare Section Poincare Sec tion Poincare S. zoom Poincare S. zoom Fractal mountain Magnetic map Discrete magn. map Related l inks: Web Page "FRACTALS, CHAOS ENTROPY" Page created by J. L. Subias: Visitors from January/2/2005:

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