Complexity Digest 2010.19

2010/09/10

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

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2010.18 | Next issue 2010.20

Content

  1. The nature of beauty, Prospect
  2. Biodiversity Conservation: Challenges Beyond 2010, Science
  3. Are large complex economic systems unstable?, arXiv
  4. Artificial Life XII Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, MIT Press
  5. Sugata Mitra: The child-driven education, TED.com
    1. Nic Marks: The Happy Planet Index, TED.com
    2. The price of happiness, News@Nature
  6. Visualizing spaceâ€"time dynamics in scaling systems, Complexity
  7. Chronicle of cybernetics pioneers, Nature
  8. Wanted: a new breeding ground for antibiotics, Prospect
  9. Buzzwords on their way to a tipping-point: A view from the blogosphere, Complexity
    1. The Spread of Behavior in an Online Social Network Experiment, Science
  10. Language Acquisition Meets Language Evolution, Cognitive Science
  11. Spatial embedding and the structure of complex networks, Complexity
  12. Fundamental limits on the suppression of molecular fluctuations, Nature
  13. Cooperation enhanced by the ‘survival of the fittest’ rule in prisoner's dilemma games on complex networks, Journal of Theoretical Biology
    1. Evolutionary prisoners dilemma game with voluntary participation on regular lattices and scale-free networks, Physics Procedia
  14. A two level mutation-selection model of cultural evolution and diversity, Journal of Theoretical Biology
  15. Two-lane traffic-flow model with an exact steady-state solution, arXiv
  16. A quantitative measure for the organization of a system, Part 1: A simple case, arXiv
    1. A Statistical Measure of Complexity, arXiv
    2. Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach, PLoS ONE
    3. Beyond Lyapunov, arXiv
  17. The effect of gossip on social networks, Complexity
  18. Parasite Replication and the Evolutionary Epidemiology of Parasite Virulence, PLoS ONE
  19. Book Announcements
    1. 2030: technology that will change the world, Oxford University Press
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. The nature of beauty, Prospect Next Article Bookmark and Share

    Excerpt:
    Art imitates life: RenĂ© Magritte’s La condition humaine (1933): it’s only human to see nature as art
    Psychologists are taking a new interest in the evolutionary history of beauty. But there are still large unknowns. Evolutionary theory has had no problem explaining manyâ€"even mostâ€"of the things that give human beings pleasure: honey, orgasm, sunshine, lullabies, flower gardens. But, the closer we get to high art and beauty proper, the less easy it is to see how people’s attraction to it can be contributing to biological survival. If beauty were of relatively minor significance in human lives, we could push it to one side. But in reality it’s the opposite. (...)

  2. Biodiversity Conservation: Challenges Beyond 2010, Science Next Article Bookmark and Share

    Abstract: The continued growth of human populations and of per capita consumption have resulted in unsustainable exploitation of Earth’s biological diversity, exacerbated by climate change, ocean acidification, and other anthropogenic environmental impacts. We argue that effective conservation of biodiversity is essential for human survival and the maintenance of ecosystem processes. Despite some conservation successes (especially at local scales) and increasing public and government interest in living sustainably, biodiversity continues to decline. Moving beyond 2010, successful conservation approaches need to be reinforced and adequately financed. In addition, however, more radical changes are required that recognize biodiversity as a global public good, that integrate biodiversity conservation into policies and decision frameworks for resource production and consumption, and that focus on wider institutional and societal changes to enable more effective implementation of policy.
    • Source: Biodiversity Conservation: Challenges Beyond 2010, Michael R. W. Rands, William M. Adams, Leon Bennun, Stuart H. M. Butchart, Andrew Clements, David Coomes, Abigail Entwistle, Ian Hodge, Valerie Kapos, Jörn P. W. Scharlemann, William J. Sutherland, and Bhaskar Vira, DOI: 10.1126/science.1189138, Science Vol. 329. no. 5997, pp. 1298 - 1303, 2010/09/10

  3. Are large complex economic systems unstable?, arXiv Next Article Bookmark and Share

    Abstract: Although classical economic theory is based on the concept of stable equilibrium, real economic systems appear to be always out of equilibrium. Indeed, they share many of the dynamical features of other complex systems, e.g., ecological food-webs. We focus on the relation between increasing complexity of the economic network and its stability with respect to small perturbations in the dynamical variables associated with the constituent nodes. Inherent delays and multiple time-scales suggest that economic systems will be more likely to exhibit instabilities as their complexity is increased even though the speed at which transactions are conducted has increased many-fold through technological developments. Analogous to the birth of nonlinear dynamics from Poincare's work on the question of whether the solar system is stable, we suggest that similar theoretical developments may arise from efforts by econophysicists to understand the mechanisms by which instabilities arise in the economy.

  4. Artificial Life XII Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, MIT Press Next Article Bookmark and Share

    Excerpt: As the ALife community inches closer to an understanding of life as a physical process by constructing living processes, it is also increasingly assessing the technological implications of the ability to engineer systems, whose power is based on the core features of life: robustness, adaptation, self-repair, self-assembly, and self-replication, centralized and distributed intelligence, and evolution.

  5. Sugata Mitra: The child-driven education, TED.com Next Article Bookmark and Share

    About this talk: Education scientist Sugata Mitra tackles one of the greatest problems of education -- the best teachers and schools don't exist where they're needed most. In a series of real-life experiments from New Delhi to South Africa to Italy, he gave kids self-supervised access to the web and saw results that could revolutionize how we think about teaching.

    1. Nic Marks: The Happy Planet Index, TED.com Next Article Bookmark and Share

      About this talk: Statistician Nic Marks asks why we measure a nation's success by its productivity -- instead of by the happiness and well-being of its people. He introduces the Happy Planet Index, which tracks national well-being against resource use (because a happy life doesn't have to cost the earth). Which countries rank highest in the HPI? You might be surprised.

    2. The price of happiness, News@Nature Next Article Bookmark and Share

      Excerpt: And what exactly do we mean by happiness? That we laugh a lot, feel optimistic and secure in our lives, are serenely calm or deliriously hedonistic? In a recent 2008-09 Gallup poll of national happiness, the United States came fifth, and yet at the same time came 89th out of 151 in terms of 'least worry', and had the fifth-highest stress levels. It is hard to make sense of that: does happiness compensate for stress, or are they ineluctably conjoined?

  6. Visualizing spaceâ€"time dynamics in scaling systems, Complexity Next Article Bookmark and Share

    Abstract: The signature of scaling in human systems is the well-known power law whose key characteristic is that the size distributions of their objects display self-similarity in space and time. In many systems such as cities, firms, and high buildings used here as examples, power laws represent an approximation to the fat or heavy tails of their rank-size distributions, appearing stable in time with little change in their scaling over tens or even hundreds of years. However, when the detailed dynamics of how their ranks shift in time is examined, there is considerable volatility in such distributions. To explore this microvolatility, we introduce measures of rank shift over space and time and visualize size distributions using the idea of the “rank clock.” We illustrate this for populations of Italian towns between 1300 and 1861 and then compare this analysis with city-size distributions for the world from 430 B.C.E., the United States from 1790, Great Britain (England, Scotland, Wales) from 1901, and Israel from 1950. When we extend this analysis to the distribution of US firms from 1955 and high buildings in New York City and the world from 1909, we generate a rich portfolio of spaceâ€"time dynamics that adds to our understanding of how different systems can display stability and regularity at the macro level in the face of considerable volatility at the micro.

  7. Chronicle of cybernetics pioneers, Nature Next Article Bookmark and Share

    Excerpt:
    The Cybernetic Brain is the first book-length account of UK cybernetics pioneers. Working in parallel with Walter and his three-wheelers was Ross Ashby, whose early efforts were inspired by research in psychiatry. Later, Gordon Pask and Stafford Beer developed practical applications for cybernetics, ranging from architecture to management. Each of Pickering's characters is unconventional in personality, research topics and academic trajectory. In the early 1970s, for example, Beer applied his system to the development of a nationwide data network in Chile to control factory operations; later he used it to model cosmic consciousness.

  8. Wanted: a new breeding ground for antibiotics, Prospect Next Article Bookmark and Share

    Excerpt: t would be nice to be able to report that the much trumpeted “end of antibiotics” is just a slice of media alarmism. But it isn’t. The danger that just about all our existing antibiotics will soon be powerless against resistant bacteria, as recently claimed in the journal Lancet Infectious Diseases, is all too real. A paper in that journal reports the emergence and spread of strains of common pathogens, such as E coli and the pneumonia bug K pneumoniae, containing a gene that confers resistance even against current last-resort antibiotics (...)

  9. Buzzwords on their way to a tipping-point: A view from the blogosphere, Complexity Next Article Bookmark and Share

    Abstract: “Buzzwords” are new words (i.e., neologisms) that enter the language and acquire great popularity as “fashion words.” To date, the dynamic aspect of buzzwords has not been the subject of a rigorous scientific analysis. In this study, we analyzed the appearance of buzzwords in the blogosphere and compared their dynamics to the one of nonpopular neologisms and well-established words. It was found that the growth rate of buzzwords is exponential and higher than that of the blogosphere. Moreover, we have identified general early warning signals for an approaching tipping point in the dynamics of buzzwords indicating that as fashion words they are on their way to a tipping-point of decline. The article presents these findings and others and concludes by presenting a model for studying the dynamics of new words entering the language.

    1. The Spread of Behavior in an Online Social Network Experiment, Science Next Article Bookmark and Share

      Abstract: How do social networks affect the spread of behavior? A popular hypothesis states that networks with many clustered ties and a high degree of separation will be less effective for behavioral diffusion than networks in which locally redundant ties are rewired to provide shortcuts across the social space. A competing hypothesis argues that when behaviors require social reinforcement, a network with more clustering may be more advantageous, even if the network as a whole has a larger diameter. I investigated the effects of network structure on diffusion by studying the spread of health behavior through artificially structured online communities. Individual adoption was much more likely when participants received social reinforcement from multiple neighbors in the social network. The behavior spread farther and faster across clustered-lattice networks than across corresponding random networks.

  10. Language Acquisition Meets Language Evolution, Cognitive Science Next Article Bookmark and Share

    Abstract: Recent research suggests that language evolution is a process of cultural change, in which linguistic structures are shaped through repeated cycles of learning and use by domain-general mechanisms. This paper draws out the implications of this viewpoint for understanding the problem of language acquisition, which is cast in a new, and much more tractable, form. In essence, the child faces a problem of induction, where the objective is to coordinate with others (C-induction), rather than to model the structure of the natural world (N-induction). We argue that, of the two, C-induction is dramatically easier. More broadly, we argue that understanding the acquisition of any cultural form, whether linguistic or otherwise, during development, requires considering the corresponding question of how that cultural form arose through processes of cultural evolution. This perspective helps resolve the “logical” problem of language acquisition and has far-reaching implications for evolutionary psychology.
    • Source: Language Acquisition Meets Language Evolution, Nick Chater, Morten H. Christiansen, DOI: 10.1111/j.1551-6709.2009.01049.x, Cognitive Science Special Issue: Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints? Volume 34, Issue 7, pages 1131â€"1157, 2010/09

  11. Spatial embedding and the structure of complex networks, Complexity Next Article Bookmark and Share

    Abstract: We review and discuss the structural consequences of embedding a random network within a metric space such that nodes distributed in this space tend to be connected to those nearby. We find that where the spatial distribution of nodes is maximally symmetrical some of the structural properties of the resulting networks are similar to those of random nonspatial networks. However, where the distribution of nodes is inhomogeneous in some way, this ceases to be the case, with consequences for the distribution of neighborhood sizes within the network, the correlation between the number of neighbors of connected nodes, and the way in which the largest connected component of the network grows as the density of edges is increased. We present an overview of these findings in an attempt to convey the ramifications of spatial embedding to those studying real-world complex systems.

  12. Fundamental limits on the suppression of molecular fluctuations, Nature Next Article Bookmark and Share

    Summary: Biological systems avoid molecular noise using feedback loops controlling RNA or protein synthesis, but these reactions rely on the stochastic birth and death of molecules. These authors use control and information theory to show that making a genetic network twice as accurate takes 16 times more signalling steps. Nature must therefore call on brute-force solutions to maintain accuracy, and hence does so only when noise suppression is absolutely vital.

  13. Cooperation enhanced by the ‘survival of the fittest’ rule in prisoner's dilemma games on complex networks, Journal of Theoretical Biology Next Article Bookmark and Share

    Excerpt: Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection, whereby we introduce a model of strategy evolution taking place on evolving networks based on Darwinian ‘survival of the fittest’ rule In the present work, players whose payoffs are below a certain threshold will be deleted and the same number of new nodes will be added to the network to maintain the constant system size. [...] Numerical results show that cooperators can obtain the biggest boost if the elimination threshold is fine-tuned.

    1. Evolutionary prisoners dilemma game with voluntary participation on regular lattices and scale-free networks, Physics Procedia Next Article Bookmark and Share

      Excerpt: The voluntary participation mechanism has been demonstrated as a natural extension to promote the cooperative behavior in evolutionary games. Apart from the cooperator strategy and defector strategy in the original Prisoner’s Dilemma Game (PDG), players can choose the additional loner strategy to refuse to participate and get some small but fixed income Q. We allow for voluntary participation in the evolutionary PDG on regular lattices and scale-free networks, and focus on the strategy density and the evolution behavior of the system. Simulation shows that the system behavior is sensitive to the population structure.

  14. A two level mutation-selection model of cultural evolution and diversity, Journal of Theoretical Biology Next Article Bookmark and Share

    Excerpt: Cultural evolution is a complex process that can happen at several levels. At the level of individuals in a population, each human bears a set of cultural traits that he or she can transmit to its offspring (vertical transmission) or to other members of his or her society (horizontal transmission). The relative frequency of a cultural trait in a population or society can thus increase or decrease with the relative reproductive success of its bearers (individual’s level) or the relative success of transmission (called the idea’s level). This article presents a mathematical model on the interplay between these two levels. The first aim of this article is to explore when cultural evolution is driven by the idea’s level, when it is driven by the individual’s level and when it is driven by both.

  15. Two-lane traffic-flow model with an exact steady-state solution, arXiv Next Article Bookmark and Share

    Abstract: We propose a stochastic cellular-automaton model for two-lane traffic flow based on the misanthrope process in one dimension. The misanthrope process is a stochastic process allowing for an exact steady-state solution; hence we have an exact flow-density diagram for two lane traffic. In addition, we introduce two parameters that indicate respectively driver's driving-lane preference and passing-lane priority. Due to the additional parameters, the model shows a deviation of the density ratio for driving-lane use and a biased lane-efficiency in flow. Then, a mean-field approach explicitly describes the asymmetric flow by the hop rates, the driving-lane preference, and the passing-lane priority. Meanwhile, the simulation results are in good agreement with an observational data, and we thus estimate these parameters. We conclude that the proposed model successfully produces two-lane traffic flow particularly with the driving-lane preference and the passing-lane priority.

  16. A quantitative measure for the organization of a system, Part 1: A simple case, arXiv Next Article Bookmark and Share

    Abstract: Establishing an universal method to measure the organization of an universal system, will allow us to understand the mechanisms of functioning and organizing in general and enable us to design systems which will posses highest level of perfection. Attempts to measure organization have been done using information and entropy. The least action principle which is the basis of all branches of physics has been applied to a biotechnical system, ecosystem, chemical system and reliability theory to explain their functioning. Here we show that the amount of organization is inversely proportional to the physical amount of action in a system. We show the derivation of the expression for organization and apply it in a simple case. The significance of this result is that it will empower all of the natural and social sciences to quantify the organization in the systems that they are studying when it is applied to them.

    1. A Statistical Measure of Complexity, arXiv Next Article Bookmark and Share

      Abstract: In this chapter, a statistical measure of complexity is introduced and some of its properties are discussed. Also, some straightforward applications are shown.

    2. Statistic Complexity: Combining Kolmogorov Complexity with an Ensemble Approach, PLoS ONE Next Article Bookmark and Share

      Excerpt: The evaluation of the complexity of an observed object is an old but outstanding problem. In this paper we are tying on this problem introducing a measure called statistic complexity.

    3. Beyond Lyapunov, arXiv Next Article Bookmark and Share

      Abstract: Ergodic parameters like the Lyapunov and the conditional exponents are global functions of the invariant measure, but the invariant measure itself contains more information. A more complete characterization of the dynamics by new families of ergodic parameters is discussed, as well as their relation to the dynamical RĂ©nyi entropies and measures of self-organization. A generalization of the Pesin formula is derived which holds under some weak correlation conditions.

  17. The effect of gossip on social networks, Complexity Next Article Bookmark and Share

    Abstract: In this article, we develop a simple model for the effect of gossip spread on social network structure. We define gossip as information passed between two individuals A and B about a third individual C which affects the strengths of all three relationships: it strengthens A-B and weakens both B-C and A-C. We find, in both an analytic derivation and model simulations, that if gossip does not spread beyond simple triads, it destroys them but if gossip propagates through large dense clusters, it strengthens them. Additionally, our simulations show that the effect of gossip on network metrics (clustering coefficient, average-path-length, and sum-of-strengths) varies with network structure and average-node-degree.

  18. Parasite Replication and the Evolutionary Epidemiology of Parasite Virulence, PLoS ONE Next Article Bookmark and Share

    Excerpt: Parasite virulence evolution is shaped by both within-host and population-level processes yet the link between these differing scales of infection is often neglected. Population structure and heterogeneity in both parasites and hosts will affect how hosts are exploited by pathogens and the intensity of infection. Here, it is shown how the degree of relatedness among parasites together with epidemiological parameters such as pathogen yield and longevity influence the evolution of virulence.

  19. Book Announcements Next Article Bookmark and Share

    1. 2030: technology that will change the world, Oxford University Press Next Article Bookmark and Share

      Summary:
      In 2030, authors Rutger van Santen, Djan Khoe, and Bram Vermeer interview over two dozen scientific and technological experts on themes of health, sustainability and communication, asking them to look forward to the year 2030 and comment on the kind of research that will play a necessary role. If we know what technology will be imperative in 2030, the authors reason, what can we do now to influence future breakthroughs?
      Despite working in dissimilar fields, the experts called upon in the book - including Hans Blix (Head of the UN investigation in Iraq), Craig Venter (explorer of the human DNA), and Susan Greenfield (a leading world authority on the human brain), among many others - all emphasize the interconnectedness of our global networks in technology and communication, so tightly knit that the world's major conflicts are never isolated incidents. A fresh understanding of the regularities underlying these complex systems is more important than ever.

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. Evidence for the Dominance of Indirect Effects in 50 Trophically-Based Ecosystem Networks, Andria K. Salas and Stuart R. Borrett, 2010/09/09, arXiv:1009.1841
      2. A metric for galled networks, Gabriel Cardona, Merce Llabres, Francesc Rossello, 2010/09/3, arXiv:1009.0652
      3. Analytic treatment of the network synchronization problem with time delays, Shahar Hod, 2010/09/5, arXiv:1009.0941
      4. Shennan-type evolution of stone-age cultural innovation, D. Stauffer, 2010/09/6, arXiv:1009.0973
      5. Promotion of cooperation by aspiration-induced migration, Lin YT, Yang HX, Wu ZX, Wang BH, September 2010, Physica A: Statistical Mechanics and its Applications, in Press, DOI: 10.1016/j.physa.2010.07.034

    2. Event Announcements Next Article Bookmark and Share

      1. PPSN 2010: 11th International Conference on Parallel Problem Solving From Nature, Krakow, Poland, 2010/09/11-15
      2. European Conference on Complex Systems, Lisbon, Portugal, 2010/09/13-17
      3. 12th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2010), New York City, USA, 2010/09/20-22
      4. Fourth International Conference on the Foundations of Information Science FIS 2010: Towards a New Science of Information, Beijing, China, 2010/09/20-23
      5. The 3rd International PERADA-ASSYST Summer School on Adaptive Socio-Technical Pervasive Systems, Budapest. Hungary, 2010/09/20-27
      6. Emergence and Design of Robustness, Palma de Mallorca, Spain, 2010/09/21-25
      7. CASoN 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, China, 2010/09/26â€"28
      8. Data driven dynamical networks, Les Houches, France, 2010/09/26-10/01
      9. SASO 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 2010/09/27-10/01
      10. Primer Congreso Mexicano de Ciencias de la Complejidad, Ciudad Universitaria, D.F., Mexico, 2010/10/4-6
      11. Multi-scale dynamics and evolvability of biological networks, Leipzig, Germany, 2010/10/4-6
      12. 2nd Workshop on Complex Networks CompleNet 2010, Rio de Janeiro, Brazil, 2010/10/13-15
      13. 1st International Conference on Bionics & Biomechanics, Venice, Italy, 2010/10/14-16
      14. Fifth National Conference on systems science, Fermo, Italy, 2010/10/16
      15. Business Complexity and the Global Leader Conference, Boston, Massachusetts, USA, 2010/10/17-20
      16. Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colorado, USA 2010/10/18-22
      17. CONNECTING THE DOTS: A Network Visualization Symposium, Cambridge, MA, USA, 2010/10/22
      18. The 2010 International Conference on Web Information Systems and Mining (WISM'10) and the 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI'10), Sanya, China, 2010/10/23-24
      19. The 2010 International Workshop on Nature Inspired Computation and Applications (IWNICA'10), Hefei, Anhui, China, 2010/10/23-27
      20. First International Conference on Complex Systems Design and Management (CSDM 2010), Paris, France, 2010/10/27-29
      21. International Workshop on Statistical Physics and Biology of Collective Motion, Dresden, Germany, 2010/11/8-12
      22. 2nd Annual Complexity in Business Conference, Washington, DC, USA, 2010/11/12
      23. Science and Innovation Week 2010, Mexico City, Mexico, 2010/11/22-26
      24. JMS2010 Modeling and Simulation Symposium 2010, MĂ©rida, Venezuela, 2010/11/24-26
      25. The 5th Int'l Conference on Bio-Inspired Models of Network, Information and Computing Systems, Boston, MA, USA, 2010/12/1-3
      26. 2010 International Congress on Computer Applications and Computational Science CACS 2010, Singapore, 2010/12/4-6
      27. IEEE/IFIP EUC 2010 (Embedded and ubiquitous computing), Hong Kong SAR, China, 2010/12/11-13
      28. The 14th International Conference On Principles Of Distributed Systems (OPODIS 2010), Tozeur, Tunisia, 2010/12/14-17
      29. SYNTHETIC BIOLOGY Bottom-up, Top-down and Cell-free approaches, Intellectual Property issues, Evry, France, 2010/12/15-16
      30. The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010), Kitakyushu, Japan, 2010/12/15-17
      31. Winter Meeting on Statistical Physics, Taxco, Guerrero, Mexico, 2011/1/4-7
      32. International Symposium on Artificial Life and Robotics, Beppu, Oita, Japan, 2011/01/27-29
      33. 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), Rome, Italy, 2011/01/28-30
      34. IWSOS 2011, Fifth International Workshop on Self-Organizing Systems , Karlsruhe, Germany, 2011/02/23-25
      35. IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris, France, 2011/04/11-15
      36. EVOSTAR 2011, Torino, Italy, 2011/4/27-29
      37. 7th Annual International Conference on Computer Science and Information Systems, Athens, Greece, 2011/06/13-16
      38. International Conference on Complex Systems (ICCS 2011), Boston, MA, USA, 2011/06/26-07/01
      39. GECCO 2011: Genetic and Evolutionary Computation Conference, Dublin, Ireland, 2011/07/12-16
      40. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/16-22
      41. ECAL 11: European Conference on Artificial Life, Paris, France, 2011/08/8-12

    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. Ralph Abraham on Complexity Digest, , Calcutta, India, 05/12/27
      20. An Afternoon with Michael Crichton, Washington, 05/11/06
      21. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      22. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      23. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      24. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      25. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      26. 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
      27. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      28. 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
      29. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      30. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      31. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      32. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      33. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      34. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      35. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      36. Edge Videos

    4. Other Announcements Bookmark and Share


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