Complexity Digest 2009.15

2009/07/17

Editor-in-Chief: Carlos Gershenson
Founding Editor: Gottfried Mayer

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2009.14 | Next issue 2009.16

Content

  1. What can DNA tell us? Place your bets now, New Scientist
    1. 'Toy Universe' Could Solve Life's Origins, Space.com
  2. Towards a Post Reductionist Science: The Open Universe, arXiv
  3. Global patterns of speciation and diversity, Nature
  4. The Brain, a Complex Self-organizing System, European Review
  5. Degeneracy: a design principle for achieving robustness and evolvability, arXiv
    1. Modularity and anti-modularity in networks with arbitrary degree distribution, arXiv
  6. Toward a Smarter Web, Science
  7. Straight From the Pig's Mouth: Swine Research With Swine Influenzas, Science
  8. Foundations for a New Science of Learning, Science
  9. Dynamics in Complex Systems, European Review
  10. Modeling self-organizing traffic lights with elementary cellular automata, arXiv
  11. Dynamics of Coupled Adaptive Elements : Bursting and Intermittent Oscillations Generated by Frustration in Networks, arXiv
  12. Darwin's last laugh, Nature
    1. The possibility of impossible cultures, Nature
  13. Complexity in Economic Theory and Real Economic Life, European Review
    1. Chaos and order in exchange rates, International Journal of Monetary Economics and Finance
  14. Towards Complex Matter: Supramolecular Chemistry and Self-organization, European Review
    1. Complex Non-equilibrium Dynamics in Plasmas, European Review
  15. Is Quantum Theory Exact?, Science
  16. Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study, Journal of Artificial Societies and Social Simulation
  17. The role of black holes in galaxy formation and evolution, Nature
  18. French Roadmap for Complex Systems 2008-2009, arXiv
  19. Book Announcements
    1. Shapes: Nature's patterns (Part 1), Oxford University Press
    2. Flow: Nature's patterns (Part 2), Oxford University Press
    3. Branches: Nature's patterns (Part 3), Oxford University Press
    4. Chaos and Complexity: New Research, Nova Science Publishers Inc
    5. Chaos and Complexity in Psychology: The Theory of Nonlinear Dynamical Systems, Cambridge University Press
    6. Symmetry in Chaos: A Search for Pattern in Mathematics, Art and Nature, Society for Industrial Mathematics
    7. The Super-organism: The Beauty, Elegance, and Strangeness of Insect Societies, W. W. Norton & Co.
  20. Links & Snippets
    1. Other Publications
    2. Conference Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. What can DNA tell us? Place your bets now, New Scientist Next Article Bookmark and Share

    Excerpt: From Newton to Hawking, scientists love wagers. Now Lewis Wolpert has bet Rupert Sheldrake a case of fine port that: "By 1 May 2029, given the genome of a fertilised egg of an animal or plant, we will be able to predict in at least one case all the details of the organism that develops from it, including any abnormalities."

    1. 'Toy Universe' Could Solve Life's Origins, Space.com Next Article Bookmark and Share

      Excerpt:
      Self-organization leading to the formation of an artificial vesicle, as represented in EvoGrid the Movie. Credit: DigitalSpace.
      The power of computer processing could one day solve the riddle of life's origin.
      Scientists think life appeared about 4 billion years ago, and ancient rocks on Earth can give us some idea of what the environment was like. Life may have originated in an ocean rich in chemicals. This primordial soup may have been simmering, or it may have been zapped by lightning. Certainly energy of some sort must have helped drive a simple chemical system into a more complex state. But the clues are few, and the picture remains hazy.
      Enter the Evogrid, a computer creation concept that would be a digital version of the primordial soup. (...)
      See Also: http://www.evogrid.org/

  2. Towards a Post Reductionist Science: The Open Universe, arXiv Next Article Bookmark and Share

    Abstract: In this paper I discuss the reality that deductive inference is not the only way we explain in science. I discuss the role of the opportunity for an adaptation in the biosphere and claim that such an opportunity is a 'blind final cause', not an efficient cause, yet shapes evolution. I also argue that Darwinian exaptations are not describable by sufficient natural law. Based on an argument of Sir Karl Popper, I claim that no law, or function, f, maps a decoherence process in a Special Relativity setting from a specific space-time slice into its future. If true this suggests there can be no theory of everything entailing all that happens. I then discuss whether we can view laws as 'enabling constraints' and what they enable. Finally, in place of the weak Anthropic principle in a multiverse, I suggest that we might consider Darwin all the way down. It is not impossible that a single universe has an abiotic natural selection process for laws as enabling constraints and that the single universe that 'wins' is ours. One possible criterion of winning might be 'most rapid growth of the Adjacent Possible of the universe'.
    See Also: Reinventing the Sacred: A New View of Science, Reason, and Religion

  3. Global patterns of speciation and diversity, Nature Next Article Bookmark and Share

    Excerpts: In recent years, strikingly consistent patterns of biodiversity have been identified over space, time, organism type and geographical region. A neutral theory (assuming no environmental selection or organismal interactions) has been shown to predict many patterns of ecological biodiversity. This theory is based on a mechanism by which new species arise similarly to point mutations in a population without sexual reproduction. Here we report the simulation of populations with sexual reproduction, mutation and dispersal. We found simulated time dependence of speciation rates, speciesâ€"area relationships and species abundance distributions consistent with the behaviours found in nature. (...) Quantitative comparisons of specific cases are remarkably successful. Our biodiversity results provide additional evidence that species diversity arises without specific physical barriers. This is similar to heavy traffic flows, where traffic jams can form even without accidents or barriers.

  4. The Brain, a Complex Self-organizing System, European Review Next Article Bookmark and Share

    Abstract: Our intuition assumes that there is a centre in our brain in which all relevant information converges and where all decisions are reached. To neurobiologists, the brain presents itself as a highly distributed system in which a very large number of processes occur simultaneously and in parallel without requiring coordination by a central convergence centre. The specific architecture resembles, in many respects, small world networks and raises the question of how the multiple operations occurring in parallel are bound together in order to give rise to coherent perception and action.

  5. Degeneracy: a design principle for achieving robustness and evolvability, arXiv Next Article Bookmark and Share

    Excerpt: Robustness, the insensitivity of some of a biological system's functionalities to a set of distinct conditions, is intimately linked to fitness. Recent studies suggest that it may also play a vital role in enabling the evolution of species. Increasing robustness, so is proposed, can lead to the emergence of evolvability if evolution proceeds over a neutral network that extends far throughout the fitness landscape. Here, we show that the design principles used to achieve robustness dramatically influence whether robustness leads to evolvability. In simulation experiments, we find that purely redundant systems have remarkably low evolvability while degenerate, i.e. partially redundant, systems tend to be orders of magnitude more evolvable.

    1. Modularity and anti-modularity in networks with arbitrary degree distribution, arXiv Next Article Bookmark and Share

      Excerpt: Networks describing the interaction of the elements that constitute a complex system grow and develop via a number of different mechanisms, such as the addition and deletion of nodes, the addition and deletion of edges, as well as the duplication or fusion of nodes. While each of these mechanisms can have a different cause (...), their impact on the network's structure, as well as its local and global properties, is similar. This allows us to study how each of these mechanisms affects networks either alone or together with the other processes, and how they shape the characteristics that have been observed. We study how a network's growth parameters impact the distribution of edges in the network, how they affect a network's modularity, and point out that some parameters will give rise to networks that have the opposite tendency, namely to display anti-modularity. (...)

  6. Toward a Smarter Web, Science Next Article Bookmark and Share

    Excerpt: Since its creation in the early 1990s, the World Wide Web has evolved from its initial, static Web sites to the dynamic, interactive Web sites of today. But whereas existing Web sites merely respond directly to user input, there is growing interest in making them adaptive through the use of computational intelligence. A promising approach for this involves a family of optimization techniques called evolutionary algorithms.
    • Source: Toward a Smarter Web, Gregory S. Hornby and Tolga Kurtoglu, DOI: 10.1126/science.1174400, Science Vol. 325. no. 5938, pp. 277 - 278, 2009/07/17

  7. Straight From the Pig's Mouth: Swine Research With Swine Influenzas, Science Next Article Bookmark and Share

    Excerpt: Human influenza researchers, who mainly work with ferrets and mice as models, have turned up provocative findings about the new virus in a remarkably short time. Yet the veterinarians who do most of the flu studies with pigs, primarily to help pig farmers, are well placed to make a unique contribution. They know the closest relatives of the novel H1N1 virus intimately, and their studies are offering critical clues to its genetic origins as well as sobering insights about how it may evolve.

  8. Foundations for a New Science of Learning, Science Next Article Bookmark and Share

    Abstract: Human learning is distinguished by the range and complexity of skills that can be learned and the degree of abstraction that can be achieved compared with those of other species. Homo sapiens is also the only species that has developed formal ways to enhance learning: teachers, schools, and curricula. Human infants have an intense interest in people and their behavior and possess powerful implicit learning mechanisms that are affected by social interaction. Neuroscientists are beginning to understand the brain mechanisms underlying learning and how shared brain systems for perception and action support social learning. Machine learning algorithms are being developed that allow robots and computers to learn autonomously. New insights from many different fields are converging to create a new science of learning that may transform educational practices.
    • Source: Foundations for a New Science of Learning, Andrew N. Meltzoff, Patricia K. Kuhl, Javier Movellan, Terrence J. Sejnowski, DOI: 10.1126/science.1175626, Science Vol. 325. no. 5938, pp. 284 - 288, 2009/07/17

  9. Dynamics in Complex Systems, European Review Next Article Bookmark and Share

    Abstract: Over the last decade, we have witnessed the birth of a new movement of interest and research in the study of complex networks. These networks often have irregular structural properties, but also encompass rich dynamics. The interplay between the network topological structure and the associated dynamics attracts a lot of interest. In this research line, we propose a network approach to dealing with complex dynamics, in particular with synchronization dynamics. From the methodological perspective, this approach requires novel ideas from nonlinear sciences, statistical physics and mathematical statistics.
    • Source: Dynamics in Complex Systems, J. Kurths et al., DOI: 10.1017/S1062798709000726, European Review, vol. 17, issue 02, pages 357-370, 2009/07/01
    • Contributed by Anton Joha - antonjohaagmail.com

  10. Modeling self-organizing traffic lights with elementary cellular automata, arXiv Next Article Bookmark and Share

    Excerpt: There have been several highway traffic models proposed based on cellular automata. The simplest one is elementary cellular automaton rule 184. We extend this model to city traffic with cellular automata coupled at intersections using only rules 184, 252, and 136. The simplicity of the model offers a clear understanding of the main properties of city traffic and its phase transitions.
    We use the proposed model to compare two methods for coordinating traffic lights: a green-wave method that tries to optimize phases according to expected flows and a self-organizing method that adapts to the current traffic conditions. The self-organizing method delivers considerable improvements over the green-wave method. (...)

  11. Dynamics of Coupled Adaptive Elements : Bursting and Intermittent Oscillations Generated by Frustration in Networks, arXiv Next Article Bookmark and Share

    Excerpt: Adaptation to environmental change is a common property of biological systems. Cells initially respond to external changes in the environment, but after some time, they regain their original state. By considering an element consisting of two variables that show such adaptation dynamics, we studied a coupled dynamical system containing such elements to examine the diverse dynamics in the system and classified the behaviors on the basis of the network structure that determined the interaction among elements. For a system with two elements, two types of behaviors, perfect adaptation and simple oscillation, were observed. For a system with three elements, in addition to these two types, novel types of dynamics, namely, rapid burst-type oscillation and a slow cycle, were discovered; depending on the initial conditions, these novel types of dynamics coexisted. (...)

  12. Darwin's last laugh, Nature Next Article Bookmark and Share

    Excerpt: In 1739, the Scottish philosopher David Hume wrote: "When any hypothesis...is advanc'd to explain a mental operation, which is common to men and beasts, we must apply the same hypothesis to both." A century later, Darwin showed that all forms of life have a common origin. Yet, to this day, the idea that humans and animals share characteristics and abilities, including mental ones, as a result of shared evolutionary history, still seems hard to swallow for some.
    • Source: Darwin's last laugh, Frans B. M. de Waal, DOI: 10.1038/460175a, Nature 460, 175, 2009/07/08

    1. The possibility of impossible cultures, Nature Next Article Bookmark and Share

      Excerpt: The mental abilities of humans and other animals seem to have far greater similarities than differences. In the past 20 years or so, there have been reports of animals acquiring language, producing music, feeling empathy and teaching, leading to the conclusion that the differences between human and animal thought are just matters of degree. Such a continuum also seems to apply to cultural forms, such as language, music and morality. Humans generate an extraordinary range of cultural expressions and seem to have an almost unbounded capacity to do so.

  13. Complexity in Economic Theory and Real Economic Life, European Review Next Article Bookmark and Share

    Abstract: Complex dynamic behaviour in terms of chaotic motion, catastrophic events or other seemingly irregular and unexpected features of and in theoretical economic models are nowadays known as a common property of many nonlinear approaches to an understanding of the motion of actual time series, such as inflation rates, unemployment figures, and many other economic variables. Since most existing models in economic dynamics are constructed in the tradition of classical mechanics, this result does not appear as a real surprise.

    1. Chaos and order in exchange rates, International Journal of Monetary Economics and Finance Next Article Bookmark and Share

      Abstract: This paper asks what accounts for differing levels of exchange rate variance among countries over time. It suggests that the type of political system (i.e., number of policy veto players) is a determinant of policy outcomes in foreign exchange markets. If exchange rate decisions are made by larger groups of actors, we are more likely to witness greater chaos and thus variability in exchange rate outcomes. When we recognise that chaos is part of the background reality of exchange rates, we are more likely to be able to see the order organising it all.
      • Source: Chaos and order in exchange rates, Jesse Russell, DOI: 10.1504/IJMEF.2009.023066, International Journal of Monetary Economics and Finance, vol. 2, issue 1, pages 58-70, 2009/07/01
      • Contributed by Anton Joha - antonjohaagmail.com

  14. Towards Complex Matter: Supramolecular Chemistry and Self-organization, European Review Next Article Bookmark and Share

    Abstract: Chemistry has developed from molecular chemistry, mastering the combination and recombination of atoms into increasingly complex molecules, to supramolecular chemistry, harnessing intermolecular forces for the generation of informed supramolecular systems and processes through the implementation of molecular information carried by electromagnetic interactions. Supramolecular chemistry is actively exploring systems undergoing self-organization, i.e. systems capable of spontaneously generating well-defined functional supramolecular architectures by self-assembly from their components, on the basis of the molecular information stored in the covalent framework of the components and read out at the supramolecular level through specific molecular recognition interactional algorithms, thus behaving as programmed chemical systems.

    1. Complex Non-equilibrium Dynamics in Plasmas, European Review Next Article Bookmark and Share

      Abstract: We will illustrate the universality of strongly coupled plasmas by discussing two new forms of these plasmas, which have only recently become possible to create and observe in the laboratory. They exhibit a wealth of intriguing complex behavior, which can be studied experimentally, in many cases for the first time. Plasmas, gases of charged particles, are universal in the sense that certain properties of complex behavior only depend on ratios of characteristic parameters of the plasma, not on the parameters themselves.

  15. Is Quantum Theory Exact?, Science Next Article Bookmark and Share

    Excerpt: There are two distinct approaches. One is to assume that quantum theory is exact, but that the interpretive postulates must be modified to eliminate apparent contradictions. The second approach is to assume that quantum mechanics is not exact, but instead is a very accurate approximation to a deeper-level theory that reconciles the deterministic and probabilistic aspects.
    • Source: Is Quantum Theory Exact?, Stephen L. Adler and Angelo Bassi, DOI: 10.1126/science.1176858, Science Vol. 325. no. 5938, pp. 275 - 276, 2009/07/17

  16. Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study, Journal of Artificial Societies and Social Simulation Next Article Bookmark and Share

    Abstract: This paper models a supply network as a complex adaptive system (CAS), in which firms or agents interact with one another and adapt themselves. And it applies agent-based social simulation (ABSS), a research method of simulating social systems under the CAS paradigm, to observe emergent outcomes. The main purposes of this paper are to consider a social factor, trust, in modeling the agents� behavioral decision-makings and, through the simulation studies, to examine the intermediate self-organizing processes and the resulting macro-level system behaviors.

  17. The role of black holes in galaxy formation and evolution, Nature Next Article Bookmark and Share

    Abstract: Virtually all massive galaxies, including our own, host central black holes ranging in mass from millions to billions of solar masses. The growth of these black holes releases vast amounts of energy that powers quasars and other weaker active galactic nuclei. A tiny fraction of this energy, if absorbed by the host galaxy, could halt star formation by heating and ejecting ambient gas. A central question in galaxy evolution is the degree to which this process has caused the decline of star formation in large elliptical galaxies, which typically have little cold gas and few young stars, unlike spiral galaxies.

  18. French Roadmap for Complex Systems 2008-2009, arXiv Next Article Bookmark and Share

    Abstract: This second issue of the French Complex Systems Roadmap is the outcome of the Entretiens de Cargese 2008, an interdisciplinary brainstorming session organized over one week in 2008, jointly by RNSC, ISC-PIF and IXXI. It capitalizes on the first roadmap and gathers contributions of more than 70 scientists from major French institutions. The aim of this roadmap is to foster the coordination of the complex systems community on focused topics and questions, as well as to present contributions and challenges in the complex systems sciences and complexity science to the public, political and industrial spheres.

  19. Book Announcements Next Article Bookmark and Share

    1. Shapes: Nature's patterns (Part 1), Oxford University Press Next Article Bookmark and Share

      Summary:
      Patterns are everywhere in nature - in the ranks of clouds in the sky, the stripes of an angelfish, the arrangement of petals in flowers. Where does this order and regularity come from? It creates itself. The patterns we see come from self-organization. Whether living or non-living, scientists have found that there is a pattern-forming tendency inherent in the basic structure and processes of nature, so that from a few simple themes, and the repetition of simple rules, endless beautiful variations can arise.
      • Source: Shapes: Nature's patterns, Philip Ball (Author), Oxford University Press, 2009/05/01
      • Contributed by Anton Joha - antonjohaagmail.com

    2. Flow: Nature's patterns (Part 2), Oxford University Press Next Article Bookmark and Share

      Summary:
      From the swirl of a wisp of smoke to eddies in rivers, and the huge persistent storm system that is the Great Spot on Jupiter, we see similar forms and patterns wherever there is flow - whether the movement of wind, water, sand, or flocks of birds. It is the complex dynamics of flow that structures our atmosphere, land, and oceans. Part of a trilogy of books exploring the science of patterns in nature by acclaimed science writer Philip Ball, this volume explores the elusive rules that govern flow - the science of chaotic behaviour.
      • Source: Flow: Nature's patterns, Philip Ball (Author), Oxford University Press, 2009/07/01
      • Contributed by Anton Joha - antonjohaagmail.com

    3. Branches: Nature's patterns (Part 3), Oxford University Press Next Article Bookmark and Share

      Summary:
      Acclaimed science writer Philip Ball here looks at the form and growth of branching networks in the natural world, and what we can learn from them. Many patterns in nature show a branching form - trees, river deltas, blood vessels, lightning, the cracks that form in the glazing of pots. These networks share a peculiar geometry, finding a compromise between disorder and determinism, though some, like the hexagonal snowflake or the stones of the Devil's Causeway fall into a rigidly ordered structure. Branching networks are found at every level in biology - from the single cell to the ecosystem.
      • Source: Branches: Nature's patterns, Philip Ball (Author), Oxford University Press, 2009/05/01
      • Contributed by Anton Joha - antonjohaagmail.com

    4. Chaos and Complexity: New Research, Nova Science Publishers Inc Next Article Bookmark and Share

      Summary:
      This book presents new international research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.
      • Source: Chaos and Complexity: New Research, Franco F. Orsucci (Editor), Nicoletta Sala (Editor), Nova Science Publishers Inc, 2009/05/13
      • Contributed by Anton Joha - antonjohaagmail.com

    5. Chaos and Complexity in Psychology: The Theory of Nonlinear Dynamical Systems, Cambridge University Press Next Article Bookmark and Share

      Summary:
      After an introductory chapter covering the fundamentals of chaos, complexity, and other nonlinear dynamics, subsequent chapters provide in-depth coverage of each of the specific topic areas in psychology. A concluding chapter takes stock of the field as a whole, evaluating important challenges for the immediate future. The chapters are written by experts in the use of nonlinear dynamical systems theory in each of their respective areas, including biological, cognitive, developmental, social, organizational, and clinical psychology.

    6. Symmetry in Chaos: A Search for Pattern in Mathematics, Art and Nature, Society for Industrial Mathematics Next Article Bookmark and Share

      Summary:
      Symmetry suggests order and regularity whilst chaos suggests disorder and randomness. Symmetry in Chaos is an exploration of how combining the seemingly contradictory symmetry and chaos can lead to the construction of striking and beautiful images. This book is an engaging look at the interplay of art and mathematics, and between symmetry and chaos. The underlying mathematics involved in the generation of the images is described. This second edition has been updated to include the Faraday experiment, a classical experiment from fluid dynamics and also includes updated methods for numerically determining the symmetry of higher dimensional analogues of the images.

    7. The Super-organism: The Beauty, Elegance, and Strangeness of Insect Societies, W. W. Norton & Co. Next Article Bookmark and Share

      Summary:
      Superorganisms - tightly knit colonies of individuals, formed by altruistic co-operation, complex communication and division of labour - represent one of the basic stages of biological organisation, midway between the organism and the species. As the authors demonstrate, the study of the superorganism has led to important advances in our understanding of how the transitions between such levels have occurred in evolution and how life has progressed from simple to complex forms. Visually spectacular, "The Superorganism" provides a deep look into a part of the living world hitherto glimpsed by only a few.

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. When and How to Imitate Your Neighbours: Lessons from and for FEARLUS, Nicholas M. Gotts and J. Gary Polhill, 2009/06/30, JASSS 12(3)
      2. A Complexity Science - Based Management Framework for Virtual Organisations, Nicolette Papastefanou, SE Arnoldi-van der Walt, 2009/07/01, Interdisciplinary Management Research, vol. 5, pages 319-327, DOI: 10.1504/IJMEF.2009.023066
      3. The Peter Principle Revisited: A Computational Study, Alessandro Pluchino, Andrea Rapisarda, Cesare Garofalo, 2009/07/02, arXiv:0907.0455
      4. Impact of aging on the evolution of cooperation in the spatial prisoner's dilemma game, Attila Szolnoki, Matjaz Perc, Gyorgy Szabo, Hans-Ulrich Stark, 2009/07/13, arXiv:0907.2233
      5. How Did the Turtle Get Its Shell?, Olivier Rieppel, 2009/07/17, Science Vol. 325. no. 5937, pp. 154 - 155, DOI: 10.1126/science.1177446

    2. Conference Announcements Next Article Bookmark and Share

      1. Second International Workshop on Nonlinear Dynamics and Synchronization (INDS'09), Klagenfurt, Austria, 09/07/20-21
      2. Third Annual French Complex Systems Summer School, Lyon and Paris, France, 09/07/20-08/14.
      3. The 19th Annual Intl Conf Society for Chaos Theory in Psychology & Life Sciences , Milwaukee, WI USA, 09/07/23-25
      4. 2009 Intl Conf of the System Dynamics Society, Albuquerque, New Mexico, 09/07/26-30
      5. Swarm Cognition Workshop, Amsterdam, The Netherlands, 09/07/29
      6. 5th Intl Conf on Fractals and Dynamic Systems in Geoscience, Townsville, Australia, 09/08/13-14
      7. EULAKS Summer School, Mexico City, Mexico, 09/08/17-30
      8. 2nd International Workshop on Guided Self-Organisation (GSO-2009), Leipzig, Germany, 09/08/18-20
      9. NICO Complexity Conference, Evanston, IL, USA, 09/09/1-3
      10. Mathematical Models in Ecology and Evolution 2009, Bristol, UK, 09/09/10-11
      11. Darwin Meets von Neumann: European Conference on Artificial Life 2009, Budapest, Hungary, 09/09/13-16
      12. IEEE International Conference on Self-Adaptive and Self-Organizing Systems , San Francisco, California, 09/09/14-18
      13. 6th Conference of the European Social Simulation Association, Guilford, UK, 09/09/14-18
      14. European Conference on Complex Systems 2009 (ECCS'09), University of Warwick, UK, 09/09/21-25
        1. Statistical Mechanics of Molecular and Cell Biology, 09/09/23
        2. EmergeNET3: Emergence and Networks, 09/09/24
      15. International Workshop on Natural Computing, Himeji, Japan, 09/09/23-25
      16. The 2009 International Conference on Adaptive & Intelligent Systems (ICAIS'09), Klagenfurt, Austria, 09/09/24-26
      17. Complexity Theories of Cities have come of Age, Delft Netherlands, 09/09/24-27
      18. IC3K 2009 - Int'l Joint Conf. on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Madeira, Portugal, 09/10/6-8
      19. Systems Chemistry II: Evolution and Systems, Balatonfüred/Lake Balaton, Hungary, 09/10/18-23
      20. Natural and Biomimetic Mechanosensing, Dresden, Germany, 09/10/26-28
      21. The 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2009) , Lyon, France, 09/11/03-06
      22. International Conference on Intelligent Networking and Collaborative Systems (INCoS 2009) , Barcelona, Spain, 09/11/4-6
      23. the 9th Asia-Pacific Complex Systems Conference Complex'09 How to Manage Complexity? , Tokyo, Japan, 09/11/4-7
      24. CAS in the Natural and Social Sciences, AAAI Fall Symposium Arlington, VA, USA, 09/11/5-7
      25. Ninth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, Venice, Italy, 09/11/12-14
      26. 1st Global Peter F. Drucker Forum, ‘Managing the Future’, Vienna, Austria, 09/11/19-20
      27. Darwin09, International Workshop on 150 Years after Darwin: From Molecular Evolution to Language, Palma de Mallorca, Spain, 09/11/23-27
      28. 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 09/11/30-12/02
      29. World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, 09/12/9-11
      30. 5th Biennial Convention about the philosophical, epistemological, and methodological implications of the Theory of Complexity, Havana, Cuba, 10/01/6-8
      31. 2nd International Conference on Agents and Artificial Intelligence (ICAART 2010), Valencia, Spain, 10/01/22-24
      32. 20th European Meeting on Cybernetics and Systems Research, EMCSR 2010, University of Vienna, Austria, 10/04/6-9
      33. The IV International Workshop on Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Granada, Spain, 09/05/12-14

    3. Webcast Announcements Next Article Bookmark and Share

      1. Memorial Service for Dr Gottfried Mayer, Founding Editor Complexity Digest, Taipei, Taiwan (1954-2009). Video [RM], 09/02/13

      2. Making Connections: In Memory and Celebration of the Life of Dr. Gottfried Mayer (1954-2009). Video [RM] [MPG], 09/02/13

      3. Eulogy for Gottfried Mayer by Dean LeBaron [WMV, 25 Mb], [RM, 10 Mb], 09/02/10

      4. Can Ants Solve Traffic Jams?, Danielle Parsons, Slatev.com, 08/07/22

      5. Reseau Nationale des Systemes Complexes , (in French), 2007
      6. World Economic Forum , Davos, Switzerland, 08/01/22-27
      7. TED Talks, TED Conferences LLC , since 2006
      8. Talking Robots: The PodCast on Robotics and AI, Ecole Polytechnique Federale de Lausanne, Switzerland, 06/11/03
      9. Potentials of Complexity Science for Business, Governments, and the Media 2006, Budapest, Hungary, 06/08/03-05
      10. 6th Intl Conf on Complex Systems (ICCS), Boston, MA, 06/06/25-30
      11. Artificial Life X, 10th Intl Conf on the Simulation and Synthesis of Living Systems, Bloomington, IN, USA. 2006/06/03-07
      12. 6th Understanding Complex Systems Symposium, Urbana-Champaign, Il, 06/05/15-18
      13. Ralph Abraham on Complexity Digest, , Calcutta, India, 05/12/27
      14. An Afternoon with Michael Crichton, Washington, 05/11/06
      15. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      16. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      17. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      18. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      19. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      20. North American Society for the Psychology of Sport and Physical Activity 2005 Conference, Virtual Conference Network, St. Pete's Beach, Florida, 05/06/09-11
      21. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      22. Nonlinearity, Fluctuations, and Complexity, with a celebration of the 65th birthday of Gregoire Nicolis. , Complexity Session, Universite' Libre de Bruxelles, Brussels, Belgium, 05/03/16
      23. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      24. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      25. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      26. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      27. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      28. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      29. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      30. Edge Videos

    4. Other Announcements Bookmark and Share

      • European Conference on Complex Systems, 21-25 September 2009, University of Warwick, UK
        The principal annual international conference in Complexity Science.
        For up to date information and to register, see http://eccs09.info .
        Key dates:
        13 July: Reduced registration ends
        1 September: Poster submission deadline, but apply early to be sure your submission is considered in time to get your abstract published in the programme.
        1 September: Last assured registrations

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