21. Complex Systems Research On Parallel Computers The idea of what is a complex system is not well defined, however people intuitively feel that a biological organism is complex, whereas a cup of water is not. http://parallel.hpc.unsw.edu.au/rks/docs/parcomplex/

Complex Systems Research on Parallel Computers Russell K. Standish High Performance Computing Support Unit University of New South Wales Sydney, 2052 Australia R.Standish@unsw.edu.au http://parallel.hpc.unsw.edu.au/rks Abstract: Complex Systems research is a multidisciplinary field covering the gamut from Physics, Mathematics, Computer Science, Biology to Economics. Whilst there is no good agreement on what the term ``Complexity'' might mean, there are a number of threads or concepts linking the different disciplines together into a coherent field of research. Traditional mathematical techniques such as Analysis, Linear Algebra and Differential Equations have been largely ineffective at tackling the problems in Complex Systems; it is only in the last twenty years or so that computer modeling has been able to shed light in this field of research. The field is maturing, and the complex systems models are getting more sophisticated. It is now becoming apparent that high performance computing and in particular parallel computing will need to be exploited in the next generation of models. Unfortunately, the structure of typical complex systems models have acted as an impediment to effctive expoitation of their inherent parallelism. This paper discusses some of the issues, and suggests a way forward. Complex Systems The idea of what is a complex system is not well defined, however people intuitively feel that a biological organism is complex, whereas a cup of water is not. There are a number of themes which run through studies of complex systems, one of the more important being that of emergence. Whilst the notion of emergence is as notoriously difficult to pin down rigourously as the concept of complexity, it refers to the idea that a system's properties arise (or emerge) out of the interactions of the components of that system, rather than being a property of the components themselves i.e. ``the whole is more than the sum of its parts''. Examples of systems studied include: ecology, evolution, economics, artificial life, genetic algorithms, neural networks, cellular automata and agent-based modeling.

22. Nonlinear Phenomena In Complex Systems - Online Journal Nonlinear Phenomena in complex systems is a quarterly journal, which publishes original research papers. NONLINEAR PHENOMENA IN complex systemS. http://www.j-npcs.org/

NONLINEAR PHENOMENA IN COMPLEX SYSTEMS An Interdisciplinary Journal ISSN 1561 - 4085 Recognized by the European Physical Society Supporting organizations: Belarusian State University (Minsk, Belarus) B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus (Minsk, Belarus) Center for Applied Mathematics and Theoretical Physics - CAMTP University of Maribor (Maribor, Slovenia) Belarusian Republican Fund for Fundamental Research (Minsk, Belarus) "Education and Upbringing" Publishing (Minsk, Belarus) Joint Institute for Nuclear Research - JINR (Dubna, Russia) Department of Physics and Astronomy University of Pennsylvania (Philadelphia, USA) Yukawa Institute for Theoretical Physics , Kyoto University (Kyoto, Japan) Publication started: 1998 Address of the Editorial Office: Journal NPCS B.I. Stepanov Institute of Physics National Academy of Sciences of Belarus 68 Fr. Skoriny Ave. Minsk 220072 Belarus E-mail: j-npcs@dragon.bas-net.by Fax: (375-17) 2840879 Select a mirror: CAMTP, Slovenia

23. Adapting Science To Chaos And Complexity Theory, Chaotic & Complex Dynamical Sys The Heisenburg uncertainty principle, given chaos and complexity theory, limits experimentation. Optimizing science against chaotic and complex dynamical systems requires new math, based on the logic of evolution, instead of on nonlinear functions of rational measurement. Here's one proposalnew mathematics and metaphysics specifically designed for chaos theory and complex systems. http://home.earthlink.net/~imaginationworks/chaos/index.htm

PROPOSAL Adapting Science to Chaos chaos, complexity theory, chaotic and complex dynamical systems The Heisenberg uncertainty principle, given chaos and complexity theory, limits experimentation. Optimizing science against chaotic and complex dynamical systems requires new math based on the logic of evolution instead of on non-linear functions of rational measurement. Here it is: new mathematics and metaphysics specifically designed for chaos theory and complex systems. For updated material on this topic, please visit PredictionScience.com : an open community improving decision-making and strategy world-wide by developing, explicating, and/or evaluating practical predictive logics, software, formal methods, and expectations about the future. The Proposal Predictive Deduction: Expanding the Arsenal of Science A fifty page document, defining and defending the new rigorous step-by-step procedure for evaluating predictions. Print the Proposal A version of Predictive Deduction especially designed for printing How You Can Help Easy things YOU can do to spread the word about predictive deduction, empowering those around you to base their decisions on logic.

24. EXYSTENCE The Complex Systems Network Of Excellence The complex systems Network of Excellence, Exystence , is funded by the European Commission to develop collaboration among European researchers interested in http://www.complexityscience.org/

25. LIFE - Discontinued Services Page Links to online documents about artificial life. http://lorenz.mur.csu.edu.au/complex/library/0ArtificialLife.html

About This Service Australia Complexity Education ... LIFE Publications Centre This service has been discontinued. We apologise for any inconvenience. Services that have been moved are listed at the bottom of this page. Visit the Top 50 AussieSites EMail the Life Manager See below for services that have been moved to other Web Servers. If the service you are looking for is not listed below then it has definitely been discontinued! AEU APEN ESA FireNet ... IOPI

26. Volen.ccs.brandeis.edu/ complex systems Home Page is an interactive question and answer system created by Stewart Wilson of the Rowland Institute for authors and readers interested in complex adaptive systems. http://volen.ccs.brandeis.edu/

27. ICASA - Institute For Complex Additive Systems Analysis A division of New Mexico Tech, the Institute is a cooperative venture among academia, industry and government, dedicated to studying the behavior, vulnerabilities and predictability of complex systems. News, research and education information. http://www.icasa.nmt.edu/

Welcome to ICASA ICASA is the Institute for Complex Additive Systems Analysis, a division of New Mexico Tech ICASA News and Current Events New May 10, 2004 New Mexico Tech to host the ACM Symposium on Applied Computing (SAC2005) August 6 ISRP Recipient publishes article on Power Law Distribution Ongoing: NMT STUDENTS: Click here to see our new Student Research Initiative (SRI) Program. Information Assurance Scholarship Oppurtunities Information Security Co-Op Opportunities Several Summer Co-Op programs are available in the field of Information Security. U.S. citizenship is required. Deadline is November 15, 2003. For more information follow the link above. ICASA - General Contact Information phone: fax: mail: New Mexico Tech - ICASA 801 Leroy Place Socorro, NM 87801

28. Complex Systems And Economy Introduction complex systems and Economics. Economic sections. The economy as a complex system. Economic systems display contradictory features. http://www.cea.uba.ar/aschu/economia.html

Complex Systems and Economics Economic systems are made of a large number of interacting agents and display also suprising self organizing features and macroscopic order in spite of the underlying disorder among its constituents. It is easy to understand why there is a great temptation to extrapolate that line of thaught to account for some basic, stylized facts of economic systems. This approach however amounts to take specially into account the interactions among the agents, and the way in which they coadapt to each other and to regard equilibrium in a more dynamical way. This departs from the more usual anstatz in macroeconomy in which society is envisaged as a collection of identical agents and its actions are aggregated without great consideration to the problem of the internal coordination. Describing systems in this way requires nevertheless to pay a heavy overhead in abstraction and simplification. The working of a real economic systems involves enormous amounts of information. It is impossible and impractical to retain it all. Some of it is irrelevant and has to be discarded. Other is specific to some of the features of the system but plays no essential role in others. The rest of the information turns out instead to be relevant to understand some important behaviour of the system. The process of abstraction and simplification that is involved in discarding and retaining information has to undergo the acid test of providing in the end a coherent picture of the structure and the behaviour of the system - or at least of the few features that one is willing to understand.

29. CALResCo's Introduction To Complex Systems Introduction to complex systems. A complex system is any system which involves a number of elements, arranged in structure(s) which can exist on many scales. http://www.calresco.org/intro.htm

Introduction to Complex Systems by David Kirshbaum Outline of Contents I. Introduction: Complex Systems Theory : Basic Definition II. Four Important Characteristics of Complexity: Self-Organization Non-Linearity Order/Chaos Dynamic Emergent Properties III. Computer Programming approaches used for demonstrating, simulating, and analyzing these characteristics of Complex Systems: Artificial Life Genetic Algorithms Neural Networks Cellular Automata ... Boolean Networks I. Introduction to Complex Systems Theory : Basic Definition A Complex System is any system which involves a number of elements, arranged in structure(s) which can exist on many scales. These go through processes of change that are not describable by a single rule nor are reducible to only one level of explanation, these levels often include features whose emergence cannot be predicted from their current specifications. Complex Systems Theory also includes the study of the interactions of the many parts of the system. Previously, when studying a subject, researchers tended to use a reductionist approach which attempted to summarize the dynamics, processes, and change that occurred in terms of lowest common denominators and the simplest, yet most widely provable and applicable elegant explanations.

30. Complex System - Wikipedia, The Free Encyclopedia complex system. This set of constantly adapting nonlinear relationships lies at the heart of what makes a complex system special. complex systems are open. http://en.wikipedia.org/wiki/Complex_system

Complex system From Wikipedia, the free encyclopedia. Complex systems have a number of properties, some of which are listed below. It is also often used as a broad term addressing a research approach which includes ideas and techniques from chaos theory artificial life evolutionary computation and genetic algorithms Systems thinking is another approach which attempts to study systems in a holistic way, to take account of the kinds of complexity found in complex systems. Table of contents 1 Features of complex systems 1.1 Emergence 1.2 Relationships are short-range 1.3 Relationships are non-linear ... edit Features of complex systems edit Emergence What distinguishes a complex system from a merely complicated one is that some behaviors and patterns emerge in complex systems as a result of the patterns of relationship between the elements. Emergence is perhaps the key property of complex systems and a lot of work is being done to try to understand more about its nature and the conditions which will help it to occur. edit Relationships are short-range Typically, the relationships between elements in a complex system are short-range, that is

31. Control Of Complex Systems Laboratory, IPME RAS Institute for Problems of Mechanical Engineering. The Laboratory Control of complex systems . Head of Laboratory Professor AL Fradkov. http://www.ipme.ru/ipme/labs/ccs/ccs.html

32. Complex Systems '98 Complexity Between the Ecos From Ecology to Economics is the fourth in a series of successful conferences on complex systems. http://parallel.hpc.unsw.edu.au/complex/c98/

Complexity Between the Ecos - From Ecology to Economics November 30th-December 3rd 1998 University of New South Wales Sydney Australia " Complexity Between the Ecos - From Ecology to Economics " is the fourth in a series of successful conferences on Complex Systems . The inaugural conference "From Biology to Computation" was held at the Australian National University, Canberra in 1992, subsequent conferences were held at the University of Central Queensland, Rockhampton in 1994 (" Mechanisms of Adapation ") and at Charles Sturt University, Albury in 1996 (" From Local Interactions to Global Phenomena "). Proceedings Now Available

33. Nonlinear Dynamics And Complex Systems Theory (Glossary) Consider a complex system (that is, a system composed of many individual parts) that is controlled from the outside in some manner by a control parameter (say http://www.cna.org/isaac/Glossb.htm

Nonlinear Dynamics and Complex Systems Theory Glossary of Terms A B C D ... Z A Adaptation Algorithmic Complexity Animats Artificial Life ... Autopoiesis B Backpropagation Algorithm Basin of Attraction Bifurcation Boolean Function C Cantor Set Catastrophe Theory Cellular Automata Cellular Games ... Coupled-Map Lattices D Dissipative Structure Dissipative Dynamical Systems E Edge of Chaos Emergence Entropy Ergodic System ... Evolutionary Stable Strategy F Finite Automata Fitness Landscape Flicker (or 1/f) Noise Fractals ... Fuzzy Logic G Game Theory Genetic Algorithms Genetic Programming Genotype H Hausdorff Dimension Hierarchy Holarchy Homoclinic Point ... Hypercycle I Inductive Learning Information Dimension Information Theory Intermittency ... Iterated Function Systems J K Knowledge Representation L Lattice Gas Models Life Game Limit Cycle Lindenmeyer Systems ... Lyapunov Exponent M Markov Process Maximum Entropy Mean-Field Theory Metastability ... Multifractal N Navier-Stokes Equations Neural Networks Nonlinearity NP-Hard Problems ... NP-Complete O Order Parameter P Pattern Recognition Percolation Theory Petri Nets Phase Space ... Punctuated Equilibrium Q Quasiperiodic R Random Boolean Network Reaction Diffusion Models Relativistic Information Theory S Scaling Laws Search Space Self Organization Self Organized Criticality ... Synergetics T Topological Dimension U Ultrametricity Universality Universal Computer Universal Turing Machine ... Unstable Equilibrium Adaptation Any change in the structure or function of an entity (say, a biological organism) that allows it to survive and reproduce more effectively in its environment.

34. Serendip INSIGHTS FROM complex systemS. Scientists and nonscientists alike are in the business of trying to make sense of the world. Additional complex system resources. http://serendip.brynmawr.edu/complexity/complexity.html

INSIGHTS FROM COMPLEX SYSTEMS Scientists and non-scientists alike are in the business of trying to make sense of the world. And in so doing, both scientists and non-scientists make use of conceptual frameworks, habitual ways of thinking which influence both how one tries to make sense of new observations and the new questions one asks (and doesn't ask). These conceptual frameworks are themselves a product of trying to make sense of the world, and hence themselves reflect the kinds of observations that have been made and can be made. Computers, like telescopes and microscopes, have opened a whole new world of possible observations. Because of the rapidity with which they can do well-defined calculations, computers have made it possible to explore the consequences of relatively simple interactions of relatively simple things in a way never before possible. And, in a variety of different disciplines, it is similarly emerging that this new capability for observations makes possible significant insights into phenomena long believed to be too complex for serious analysis. Perhaps even more importantly, there is emerging a new and quite general conceptual framework, one equally useable in a variety of different sciences ... and by non-scientists as well. The following is an effort to begin characterizing that framework, in a form which can be used by everyone interested in trying to make sense of the world.

35. HCSL An independent, nonprofit research laboratory involved in the transdisciplinary study of complex systems. Invented the GAbased design of statistical quality control. http://www.hcsl.com

This page uses frames, but your browser doesn't support them.

36. Serendip complex systems Resources. Internet and Forum complex systems Serendip Home Send us your comments at Serendip © by Serendip http://serendip.brynmawr.edu/complexity/complexsystems.html

Complex Systems Resources Internet and Media Resources , from the Wiley journal Complexity Complex Adaptive Systems and Artificial Life , web resource links from Moshe Sipper, Swiss Federal Institute of Technology Organizations as Self-Adaptive Complex Systems , web resource links in complexity and chaos for and related to businesses, institutions, economic systems. Macintosh Artificial Life Software The Virtual Laboratory Physics related applets and similar on line resources, from the Internet Pilot to Physics The Primordial Soup Kitchen Cellular automata and their evolution, with applets, from David Griffeath, Department of Mathematics, University of Wisconsin, Madison Starlogo , "a programmable modeling environment for exploring the workings of decentralized systems", for Macintosh, from MIT Media Lab More Starlogo programs , from Penn State Maine Starlogo communities - resources, on-line tutorials , and more models. Connected Mathematics: Making sense of Complex Phenomena ..." , the StarLogoT modelling language, models, and much more, from the Center for Connected Learning and Computer Based Modelling at Tufts University. Also from there: Download StarlogoT for Mac Hubnet , a new architecture that enables students to engage in networked participatory simulations of complex systems.

37. Complex Systems Group, Department Of Theoretical Physics, Lund University http://www.thep.lu.se/complex/

38. University Gets £1m Complex Systems Grant | The Register University gets £1m complex systems grant. By Lucy Sherriff. Published Tuesday 18th May 2004 1127 GMT. The University of Bath s maths http://www.theregister.co.uk/2004/05/18/bath_uni_million_quid_grant/

Skip to content International Edition Jobs Shop ... Luxury Watches SetUpDropMenu('StoreMenuItem', 'StoreMenu'); Biting the hand that feeds IT Enterprise Software Personal Mobile ... Business Odds and Sods: Science BOFH Bootnotes Letters ... About Us Search SetPromptText('q', 'Search'); Tools/Services The Register Mobile Desktop News Panel Newsletter Reader Studies ... Science By Lucy Sherriff Published Tuesday 18th May 2004 11:27 GMT The new Institute will bring together researchers from maths, statistics, engineering, physics and biology, to establish a collaborative approach to modelling complex systems, such as the development of disease, and the behaviour of materials under electrical impulse. Systems like these are governed by the behaviour of their smallest components, on a micro scale. Despite this, when considered as a whole or from a macro scale, many complex systems exhibit similar behavioural patterns. This means that a fundamental discovery about one system can impact many areas of science. Professor Chris Budd, a mathematical scientist, and Professor Giles Hunt, a mechanical engineer will head the institute. They will be able to draw on about 30 university staff and five specially recruited post-doctoral researchers.

39. CoSCo Software Distribution BAYDA software implements Bayesian predictive discriminant analysis, where the aim is to build a model for predicting the value of one discrete (class, group, category) variable using other variables. http://www.cs.Helsinki.FI/research/cosco/Projects/NONE/SW/

Windows Unix Last update 6.3.1998 Henry Tirri.

40. Uppsala University Complex Systems Working Group What are complex systems? Click here or here for a general background. complex systems journals and other references (printed and hypermedia) http://www.plasma.uu.se/ComplexSystems/

Uppsala universitet Uppsala University http://www.plasma.uu.se/ComplexSystems/ Visitors since July 7, 1996: 15816 Updated 990122 by Bo Thidé E-mail: bt@wavegroup.irfu.se Institutionen för rymd- och plasmafysik Department of Space and Plasma Physics Working group for the planning of education in Complex Systems at the Faculty of Science and Technology, Uppsala University Links Go Key Resource Complex Systems Topic For working group members only: Go to the complex systems working group directory (access restricted to Uppsala University employees only). What are Complex Systems? Click here or here for a general background. Complex Systems journals and other references (printed and hypermedia): Complexity Complexity International UK Nonlinear News Hypertext Bibliography ... University of Maryland General References WWW pages on Complex Systems and related topics: General Complex Physics Around the World Gateway to Neural Network and Neuroscience links Scandinavia Uppsala Astronomical Observatory, Uppsala University, Sweden Department of Quantum Chemistry, Uppsala University, Sweden Department of Theoretical Physics, Uppsala University, Sweden Department of Radiation Science, Uppsala University, Sweden ... Nonlinear Dynamics Group, Physics Department, The Technical University of Denmark, DK-2800 Lyngby, Denmark Europe EU Network on Chaos and Quantization EU Network on Spatially Extended Dynamics Who Is Who Handbook of Nonlinear Dynamics Complex Systems, Oldenburg University, Germany

Page 2     21-40 of 189    Back | 1  | 2  | 3  | 4  | 5  | 6  | 7  | 8  | 9  | 10  | Next 20