Complexity Digest 2011.04

2011/02/25

Follow us on twitter.com/cxdig

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

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2011.03 | Next issue 2011.05

Content

  1. Systems Genetics, Science
  2. The challenges and scope of theoretical biology, Journal of Theoretical Biology
  3. Biological Computation, SFI Working Papers
  4. Predicting economic market crises using measures of collective panic, arXiv
  5. Lisa Gansky: The future of business is the "mesh", TED.com
    1. Patricia Kuhl: The linguistic genius of babies, TED.com
  6. Metaphors We Think With: The Role of Metaphor in Reasoning, PLoS ONE
  7. Climate change and evolutionary adaptation, Nature
  8. Robustness and modular structure in networks, arXiv
  9. Emergence and Decline of Scientific Paradigms, Phys. Rev. Lett.
  10. Explosive Synchronization Transitions in Scale-free Networks, arXiv
  11. Superexponential Long-term Trends in Information Technology, SFI Working Papers
  12. General coevolution of topology and dynamics in networks, arXiv
  13. Evolution as Computation: Implications for Economic Theory and Ontology, SFI Working Papers
  14. Parameter inference for an individual based model of chytridiomycosis in frogs, Journal of Theoretical Biology
  15. Prosperity is associated with instability in dynamical networks, arXiv
    1. Two wrongs do not make a right: The initial viability of different assessment rules in the evolution of indirect reciprocity, Journal of Theoretical Biology
  16. Predicting Cellular Automata, SFI Working Papers
    1. Many Roads to Synchrony: Natural Time Scales and Their Algorithms, SFI Working Papers
  17. Revisiting the Gaia Hypothesis: Maximum Entropy, Kauffman's 'Fourth Law' and Physiosemeiosis, arXiv
  18. The Past and Future in the Present, SFI Working Papers
  19. Book Announcements
    1. The Information: A History, a Theory, a Flood, Pantheon
    2. Quirk: Brain Science Makes Sense of Your Peculiar Personality, Random House
    3. Final Jeopardy: Man vs. Machine and the Quest to Know Everything, Houghton Mifflin Harcourt
    4. Geometry, Mechanics, and Dynamics: Volume in Honor of the 60th Birthday of J.E. Marsden, Springer
    5. The Complexity of Dynamical Systems: A Multi-disciplinary Perspective, Wiley-VCH
    6. Modelling Complex Ecological Dynamics: An Introduction into Ecological Modelling for Students, Teachers & Scientists, Springer
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. Systems Genetics, Science Next Article Bookmark and Share

    Excerpt: Systems genetics seeks to understand this complexity by integrating the questions and methods of systems biology with those of genetics to solve the fundamental problem of interrelating genotype and phenotype in complex traits and disease.
    • Source: Systems Genetics, Joseph H. Nadeau and Aimée M. Dudley, DOI: 10.1126/science.1203869, Science Vol. 331 no. 6020 pp. 1015-1016, 2011/02/25

  2. The challenges and scope of theoretical biology, Journal of Theoretical Biology Next Article Bookmark and Share

    Excerpt: [...] model building has proven to be very successful when it comes to explaining and predicting the behavior of particular biological systems. In this respect biology resembles alternative model-rich frameworks, such as economics and engineering. In this paper we explore the prospects for general theories in biology, and suggest that these take inspiration not only from physics, but also from the information sciences. Future theoretical biology is likely to represent a hybrid of parsimonious reasoning and algorithmic or rule-based explanation.

  3. Biological Computation, SFI Working Papers Next Article Bookmark and Share

    Abstract: This article contributes to the ACM Ubiquity “What is Computation” Symposium by discussing the prospects of the study of biological computation"that is, the proposal that living organisms themselves perform computations, and, more specifically, that the abstract ideas of information and computation may be key to understanding biology in a more unified manner.

  4. Predicting economic market crises using measures of collective panic, arXiv Next Article Bookmark and Share

    Abstract: Predicting panic is of critical importance in many areas of human and animal behavior, notably in the context of economics. The recent financial crisis is a case in point. Panic may be due to a specific external threat, or self-generated nervousness. Here we show that the recent economic crisis and earlier large single-day panics were preceded by extended periods of high levels of market mimicry --- direct evidence of uncertainty and nervousness, and of the comparatively weak influence of external news. High levels of mimicry can be a quite general indicator of the potential for self-organized crises.

  5. Lisa Gansky: The future of business is the "mesh", TED.com Next Article Bookmark and Share

    About this talk: At TED@MotorCity, Lisa Gansky, author of "The Mesh," talks about a future of business that's about sharing all kinds of stuff, either via smart and tech-enabled rental or, more boldly, peer-to-peer. Examples across industries -- from music to cars -- show how close we are to this meshy future.

    1. Patricia Kuhl: The linguistic genius of babies, TED.com Next Article Bookmark and Share

      About this talk: At TEDxRainier, Patricia Kuhl shares astonishing findings about how babies learn one language over another -- by listening to the humans around them and "taking statistics" on the sounds they need to know. Clever lab experiments (and brain scans) show how 6-month-old babies use sophisticated reasoning to understand their world.

  6. Metaphors We Think With: The Role of Metaphor in Reasoning, PLoS ONE Next Article Bookmark and Share

    Excerpt: The way we talk about complex and abstract ideas is suffused with metaphor. In five experiments, we explore how these metaphors influence the way that we reason about complex issues and forage for further information about them. We find that even the subtlest instantiation of a metaphor (via a single word) can have a powerful influence over how people attempt to solve social problems like crime and how they gather information to make “well-informed” decisions.

  7. Climate change and evolutionary adaptation, Nature Next Article Bookmark and Share

    Abstract: Evolutionary adaptation can be rapid and potentially help species counter stressful conditions or realize ecological opportunities arising from climate change. The challenges are to understand when evolution will occur and to identify potential evolutionary winners as well as losers, such as species lacking adaptive capacity living near physiological limits. Evolutionary processes also need to be incorporated into management programmes designed to minimize biodiversity loss under rapid climate change. These challenges can be met through realistic models of evolutionary change linked to experimental data across a range of taxa.

  8. Robustness and modular structure in networks, arXiv Next Article Bookmark and Share

    Abstract: Many complex systems, from power grids and the internet, to the brain and society, can be modeled using modular networks. Modules, densely interconnected groups of elements, often overlap due to elements that belong to multiple modules. The elements and modules of these networks perform individual and collective tasks such as generating and consuming electrical load, transmitting data, or executing parallelized computations. We study the robustness of these systems to the failure of random elements. We show that it is possible for the modules themselves to become isolated or uncoupled (non-overlapping) well before the network falls apart. When modular organization is critical to overall functionality, networks may be far more vulnerable than expected.

  9. Emergence and Decline of Scientific Paradigms, Phys. Rev. Lett. Next Article Bookmark and Share

    Abstract: Scientific paradigms have a tendency to rise fast and decline slowly. This asymmetry reflects the difficulty in developing a truly original idea, compared to the ease at which a concept can be eroded by numerous modifications. Here we formulate a model for the emergence and spread of ideas which deals with this asymmetry by constraining the ability of agents to return to already abandoned concepts. The model exhibits a fairly regular pattern of global paradigm shifts, where older paradigms are eroded and subsequently replaced by new ones. The model sets the theme for a new class of pattern formation models, where local dynamics breaks the detailed balance in a way that prevents old states from defending themselves against new nucleating or invading states. The model allows for frozen events in terms of the coexistence of multiple metastable states.

  10. Explosive Synchronization Transitions in Scale-free Networks, arXiv Next Article Bookmark and Share

    Excerpt: The emergence of explosive collective phenomena has recently attracted much attention due to the discovery of an explosive percolation transition in complex networks. In this Letter, we demonstrate how an explosive transition shows up in the synchronization of complex heterogeneous networks by incorporating a microscopic correlation between the structural and the dynamical properties of the system.

  11. Superexponential Long-term Trends in Information Technology, SFI Working Papers Next Article Bookmark and Share

    Excerpt: Moore’s Law has created a popular perception of exponential progress in information technology. But is the progress of IT really exponential? In this paper we examine long time series of data documenting progress in information technology (...) We perform statistical analyses and show that in all six cases one can reject the exponential hypothesis at statistically significant levels. In contrast, one cannot reject the hypothesis of superexponential growth with decreasing doubling times. This raises questions about whether past trends in the improvement of information technology are sustainable.

  12. General coevolution of topology and dynamics in networks, arXiv Next Article Bookmark and Share

    Abstract: We present a general framework for the study of coevolution in dynamical systems. This phenomenon consists of the coexistence of two dynamical processes on networks of interacting elements: node state change and rewiring of links between nodes. The process of rewiring is described in terms of two basic actions: disconnection and reconnection between nodes, both based on a mechanism of comparison of their states. Different rewiring rules can be expressed in this scheme. We assume that each process, rewiring and node state change, occurs with its own probability, independently from the other. The collective behavior of a coevolutionary system is characterized in the space of parameters given by these two probabilities. As an application, for a voterlike node dynamics we find that reconnections between nodes with similar states lead to network fragmentation. The critical boundaries for the onset of fragmentation in networks with different properties are calculated on this space. We show that coevolution models correspond to curves on this space, describing coupling relations between the probabilities for the two processes. The occurrence of network fragmentation transitions are predicted for diverse models, and agreement is found with some earlier results.

  13. Evolution as Computation: Implications for Economic Theory and Ontology, SFI Working Papers Next Article Bookmark and Share

    Abstract: During the past few decades, work by evolutionary theorists and others on evolution as a form of computation has yielded important insights in fields ranging from biology, to computer science, information theory, and physics. Yet this research stream has had relatively little impact on evolutionary views of the economy and institutions. This paper argues that this literature offers the potential for advances in the theory and ontology of evolutionary and institutional economics. The paper explores how the computational concept of algorithmic search through a “design space” may help unify notions of technological, institutional, and economic evolution and explain processes of order and complexity creation in the economy. It further shows how computational concepts may strengthen ontological foundations by integrating generalized Darwinism and the continuity hypothesis. Finally, the article suggests avenues for future research.

  14. Parameter inference for an individual based model of chytridiomycosis in frogs, Journal of Theoretical Biology Next Article Bookmark and Share

    Excerpt: Individual based models (IBMs) and Agent based models (ABMs) have become widely used tools to understand complex biological systems. However, general methods of parameter inference for IBMs are not available. In this paper we show that it is possible to address this problem with a traditional likelihood-based approach, using an example [...]

  15. Prosperity is associated with instability in dynamical networks, arXiv Next Article Bookmark and Share

    Abstract: Social, biological and economic networks evolve with recurrent fragmentation and re-formation, often explained in terms of external perturbations. We show that these phenomena can be a direct consequence of imitation and endogenous conflicts between 'cooperators' and 'defectors'. We employ a game-theoretic model of dynamic network formation, where prosperous individuals are more likely to be selected as role-models by newcomers who imitate their strategies and their connections. We find that cooperators promote well connected highly prosperous networks and defectors cause the network to fragment and lose its prosperity; defectors are unable to maintain the highly connected networks they invade. Once the network is fragmented, it can be reconstructed by a new invasion of cooperators. We observe that prosperity is associated with instability: cooperation is most productive when it is unstable.

    1. Two wrongs do not make a right: The initial viability of different assessment rules in the evolution of indirect reciprocity, Journal of Theoretical Biology Next Article Bookmark and Share

      Excerpt: Indirect reciprocity models are meant to correspond to primitive moral systems, in which individuals assess the interactions of third parties in order to condition their cooperative behavior [...] Here, I present a general analytical model of indirect reciprocity and show that the class of assessment rules which positively judges a refusal to help scofflaws cannot invade a population of defectors, whereas the other class can.

  16. Predicting Cellular Automata, SFI Working Papers Next Article Bookmark and Share

    Abstract: We explore the ability of a locally informed individual agent to predict the future state of an automaton in systems of varying degrees of complexity using Wolfram's one-dimensional binary cellular automata. We then compare the agent's performance to that of two small groups of agents voting by majority rule. We find stable rules (Class I) to be highly predictable, and most complex (Class IV) and chaotic rules (Class III) to be unpredictable. However, we find rules that produce regular patterns (Class II) vary widely in their predictability. We then show that the predictability of a Class II rule depends on whether the rules produces vertical or horizontal patterns. We comment on the implications of our findings for the limitations of collective wisdom in complex environments.

    1. Many Roads to Synchrony: Natural Time Scales and Their Algorithms, SFI Working Papers Next Article Bookmark and Share

      Abstract: We survey the variety of ways in which one synchronizes to a stochastic process. We define associated length scales, providing characterization theorems and efficient algorithms for their calculation. We demonstrate that many of the length scales are minimized by using the ε-machine, compared to all of a process's alternative models. We also show that the concept of Markov order, familiar in stochastic process theory, is a topological property of the ε-machine presentation. Moreover, we find that it can only be computed when using the ε-machine, not any alternative. We illustrate the results by presenting evidence that infinite Markov order and infinite crypticity are dominant properties in the space of finite-memory processes.

  17. Revisiting the Gaia Hypothesis: Maximum Entropy, Kauffman's 'Fourth Law' and Physiosemeiosis, arXiv Next Article Bookmark and Share

    Abstract: Recently, Kleidon suggested to analyze Gaia as a non-equilibrium thermodynamic system that continuously moves away from equilibrium, driven by maximum entropy production which materializes in hierarchically coupled mechanisms of energetic flows via dissipation and physical work. I relate this view with Kauffman's 'Fourth Law of Thermodynamics', which I interprete as a proposition about the accumulation of information in evolutionary processes. The concept of physical work is expanded to including work directed at the capacity to work: I offer a twofold specification of Kauffman's concept of an 'autonomous agent', one as a 'self-referential heat engine', and the other in terms of physiosemeiosis, which is a naturalized application of Peirce's theory of signs. The conjunction of these three theoretical sources, Maximum Entropy, Kauffman's Fourth Law, and physiosemeiosis, shows that the Kleidon restatement of the Gaia hypothesis is equivalent to the proposition that the biosphere is generating, processing and storing information, thus directly treating information as a physical phenomenon. There is a fundamental ontological continuity between the biological processes and the human economy, as both are seen as information processing and entropy producing systems. Knowledge and energy are not substitutes, with energy and information being two aspects of the same underlying physical process.

  18. The Past and Future in the Present, SFI Working Papers Next Article Bookmark and Share

    Abstract: We show how the shared information between the past and future -- the excess entropy -- derives from the components of directional information stored in the present -- the predictive and retrodictive causal states. A detailed proof allows us to highlight a number of the subtle problems in estimation and analysis that impede accurate calculation of the excess entropy.

  19. Book Announcements Next Article Bookmark and Share

    1. The Information: A History, a Theory, a Flood, Pantheon Next Article Bookmark and Share

      Summary:
      James Gleick, the author of the best seller Chaos, now brings us a work just as astonishing and masterly: a revelatory chronicle and meditation that shows how information has become the modern era’s defining quality"the blood, the fuel, the vital principle of our world. The story of information begins in a time profoundly unlike our own, when every thought and utterance vanishes as soon as it is born. From the invention of scripts and alphabets to the long-misunderstood talking drums of Africa, Gleick tells the story of information technologies that changed the very nature of human consciousness.

    2. Quirk: Brain Science Makes Sense of Your Peculiar Personality, Random House Next Article Bookmark and Share

      Summary:
      Our personalities are endlessly fascinating"not just to ourselves but also to others. As a highly social species, humans have to navigate among an astonishing variety of personalities. But how did all these different permutations come about? And what purpose do they serve? With her trademark wit and sly humor, Hannah Holmes takes readers into the amazing world of personality and modern brain science. Using the Five Factor Model, which slices temperaments into the major factors (Extraversion, Neuroticism, Agreeableness, Conscientiousness, and Openness), Holmes demonstrates how our genes and brains dictate which factors and facets each of us displays. (...)

    3. Final Jeopardy: Man vs. Machine and the Quest to Know Everything, Houghton Mifflin Harcourt Next Article Bookmark and Share

      Summary:
      What if there were a computer that could answer virtually any question? IBM engineers are developing such a machine, teaching it to compete on the quiz show Jeopardy. It will have to understand language, including puns and irony, and master everything from history and literature to science, arts, and entertainment. At its heart, this book is about the future of knowledge. What can we teach machines and what will they be capable of in twenty years? And where does that leave humans? This book shows how smart machines will fit into our world " and how they’ll disrupt it.

    4. Geometry, Mechanics, and Dynamics: Volume in Honor of the 60th Birthday of J.E. Marsden, Springer Next Article Bookmark and Share

      Summary:
      This volume aims to acknowledge J. E. Marsden's influence as a teacher, propagator of new ideas, and mentor of young talent. It presents both survey articles and research articles in the fields that represent the main themes of his work, including elesticity and analysis, fluid mechanics, dynamical systems theory, geometric mechanics, geometric control theory, and relativity and quantum mechanics. The common thread throughout is the use of geometric methods that serve to unify diverse disciplines and bring a wide variety of scientists and mathematicians together in a way that enhances dialogue and encourages cooperation. (...)

    5. The Complexity of Dynamical Systems: A Multi-disciplinary Perspective, Wiley-VCH Next Article Bookmark and Share

      Summary:
      Written by recognized experts, this edited book covers recent theoretical, experimental and applied issues in the growing field of Complex Systems and Nonlinear Dynamics. It is divided into two parts, with the first section application based, incorporating the theory of bifurcation analysis, numerical computations of instabilities in dynamical systems and discussing experimental developments. The second part covers the broad category of statistical mechanics and dynamical systems. This book is of interest to a broad audience of scientists involved in the theory and applications of nonlinear dynamics and complex systems within the fields of physics, mathematics, biology, chemistry and engineering.

    6. Modelling Complex Ecological Dynamics: An Introduction into Ecological Modelling for Students, Teachers & Scientists, Springer Next Article Bookmark and Share

      Summary:
      Model development is of vital importance for understanding and management of ecological processes. Identifying the complex relationships between ecological patterns and processes is a crucial task. Ecological modelling"both qualitatively and quantitatively"plays a vital role in analysing ecological phenomena and for ecological theory. This textbook provides a unique overview of modelling approaches. Representing the state-of-the-art in modern ecology, it shows how to construct and work with various different model types. It introduces the background of each approach and its application in ecology. Differential equations, matrix approaches, individual-based models and many other models are explained and demonstrated with their use.

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. How the Dimension of Space Affects the Products of Pre-Biotic Evolution: The Spatial Population Dynamics of Structural Complexity and The Emergence of Membranes, Steve T. Piantadosi, James P. Crutchfield, SFI Working Papers, DOI: SFI-WP 10-11-023
      2. How likely is speciation in neutral ecology ?, Philippe Desjardins-Proulx and Dominique Gravel, 2011/02/13, arXiv:1102.2634
      3. Spatial and temporal signatures of fragility and threshold proximity in modelled semi-arid vegetation, Bailey RM, February 2011, Proc. R. Soc. B vol. 278 no. 1708: 1064-1071, DOI: 10.1098/rspb.2010.1750

    2. Event Announcements Next Article Bookmark and Share

      1. 2011 Complexity Conference, Evanston, IL, USA, 2011/03/6-7
      2. Natural Computing Winter School, Hakodate, Japan, 2011/03/15-16
      3. International Workshop: Mining the Digital Traces of Science - Toward interactive visualization of science dynamics, Paris, France, 2011/03/23-24
      4. ImagineNano, Bilbao, Spain, 2011/04/11-14
      5. IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris, France, 2011/04/11-15
      6. EVOSTAR 2011, Torino, Italy, 2011/04/27-29
      7. Science Beyond Fiction: European Future Technologies Conference and Exhibition, Budapest, Hungary, 2011/05/4-6
      8. 1st European Conference of Microbiology and Immunology, Budapest, Hungary, 2011/05/12-14
      9. Advances in Applied Physics and Materials Science Congress, Antalya, Turkey, 2011/05/12-15
      10. Chaos, Complexity and Transport (CCT'11), Marseilles, France, 2011/05/23-27
      11. Workshop on Information and Decision in Social Networks, Cambridge, MA, USA, 2011/05/31-06/01
      12. 7th Annual International Conference on Computer Science and Information Systems, Athens, Greece, 2011/06/13-16
      13. NECSI Summer School on Complex Systems, Cambridge, MA, USA, 2011/06/13-24
      14. International Conference on Swarm Intelligence (ICSI 2011), Cergy, France, 2011/06/14-15
      15. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, 2011/06/20-25
      16. International Conference on Complex Systems (ICCS 2011), Boston, MA, USA, 2011/06/26-07/01
      17. International Conference on Information Society (i-Society 2011), London, UK, 2011/06/27-29
      18. Origins 2011 ISSOL and Bioastronomy Joint International Conference, Montpellier, France, 2011/07/3-8
      19. The International Conference on High Performance Computing & Simulation (HPCS 2011), Istanbul, Turkey, 2011/07/4-8
      20. Lipari School on the Game Theoretic Approach to Computational Complex Systems, Lipari Island, Italy, 2011/07/9-16
      21. GECCO 2011: Genetic and Evolutionary Computation Conference, Dublin, Ireland, 2011/07/12-16
      22. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/16-22
      23. 29th International Conference of the System Dynamics Society, Washington, DC, USA, 2011/07/24-28
      24. The 7th International Conference on Intelligent Environments - IE'11, Nottingham, UK, 2011/07/25-26
      25. Third International Workshop on nonlinear Dynamics and Synchronization -- INDS'11 Sixteenth International Symposium on Theoretical Electrical Engineering -- ISTET'11, Klagenfurt am Wörthersee, Austria, 2011/07/25-27
      26. International Workshop on Game Theory and Society: Models of Social Interaction in Sociological Research, Zurich, 2011/07/27-30
      27. Summer School Course: Emergence, Explanation and Complexity. Prof. Alan Baker, Aarhus, Denmark, 2011/08/1-26
      28. ECAL 11: European Conference on Artificial Life, Paris, France, 2011/08/8-12
      29. TAROS 2011: 12th Conference Towards Autonomous Robotic Systems, Sheffield, UK, 2011/08/31-09/02
      30. The 2011 International Conference on Adaptive & Intelligent Systems - ICAIS'11, Klagenfurt, Austria, 2011/09/06-08
      31. ICMC 2011 - 2nd International Conference on Morphological Computation, Venice, Italy, 2011/09/12-14
      32. European Conference on Complex Systems 2011, Vienna, Austria, 2011/09/12-16
      33. The 15th WOSC INTERNATIONAL CONGRESS on CYBERNETICS and SYSTEMS, Nanjing, China, 2011/09/15-18
      34. Interdisciplinary Symposium on Complex Systems, Halkidiki, Greece, 2011/09/19-25
      35. ICCCI 2011 3rd International Conference on Computational Collective Intelligence: Technologies and Applications, Gdynia, Poland, 2011/09/21-23
      36. World Conference on Marine Biodiversity, Aberdeen, Scotland, UK, 2011/09/26-30
      37. SSS 2011 - 13th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Shinagawa (Tokyo), Japan, 2011/10/4-7
      38. SCIENCE FOR THE ENVIRONMENT - ENVIRONMENT FOR SOCIETY, Aarhus, Denmark, 2011/10/5-6
      39. The Third International Conference on Social Informatics (SocInfo2011), Singapore, 2011/10/6-8
      40. XII Latin American Workshop on Nonlinear Phenomena (LAWNP-2011), San Luis Potosi, Mexico, 2011/10/10-15
      41. 3rd International Joint Conference on Computational Intelligence, Paris, France, 2011/10/24-26
      42. VI Congreso Bienal Internacional Complejidad 2012, Havana, Cuba, 2012/01/10-13

    3. Webcast Announcements Next Article Bookmark and Share

      1. Lakeside Research Days 2010.
      2. Smarter Cities NYC. Posted on 2009/10/05
      3. ASSYST Digital Library. Since 09/09
      4. Complex Systems Teleconferences. Since 09/09
      5. Symmetry Festival 2009, Budapest, Hungary, 09/08/1-4.
      6. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, Switzerland, 09/06/8-12
      7. Memorial Service for Dr Gottfried Mayer, Founding Editor Complexity Digest, Taipei, Taiwan (1954-2009). Video [RM], 09/02/13
      8. Making Connections: In Memory and Celebration of the Life of Dr. Gottfried Mayer (1954-2009). Video [RM] [MPG], 09/02/13
      9. Eulogy for Gottfried Mayer by Dean LeBaron [WMV, 25 Mb], [RM, 10 Mb], 09/02/10
      10. Can Ants Solve Traffic Jams?, Danielle Parsons, Slatev.com, 08/07/22
      11. Reseau Nationale des Systemes Complexes , (in French), 2007
      12. World Economic Forum , Davos, Switzerland, 08/01/22-27
      13. TED Talks, TED Conferences LLC , since 2006
      14. Talking Robots: The PodCast on Robotics and AI, Ecole Polytechnique Federale de Lausanne, Switzerland, 06/11/03
      15. Potentials of Complexity Science for Business, Governments, and the Media 2006, Budapest, Hungary, 06/08/03-05
      16. 6th Intl Conf on Complex Systems (ICCS), Boston, MA, 06/06/25-30
      17. Artificial Life X, 10th Intl Conf on the Simulation and Synthesis of Living Systems, Bloomington, IN, USA. 2006/06/03-07
      18. 6th Understanding Complex Systems Symposium, Urbana-Champaign, Il, 06/05/15-18
      19. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      20. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      21. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      22. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      23. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      24. 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
      25. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      26. 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
      27. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      28. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      29. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      30. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      31. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      32. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      33. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      34. Edge Videos

    4. Other Announcements Bookmark and Share


Also available in: Simple HTML format | TXT format | TXT format with links | Print