Complexity Digest 2010.16

2010/08/03

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

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2010.15 | Next issue 2010.17

Content

  1. The four hundred years of planetary science since Galileo and Kepler, Nature
  2. Controlling self-organized criticality in complex networks, Eur. Phys. J. B
    1. Contrasting Views of Complexity and Their Implications For Network-Centric Infrastructures, Systems, Man and Cybernetics
  3. Food: The growing problem, Nature
    1. Hans Rosling on global population growth, TED.com
  4. Limbs Made to Measure, PLoS Biol
  5. Matt Ridley: When ideas have sex, TED.com
    1. Laurie Santos: A monkey economy as irrational as ours, TED.com
  6. The Triple Helix Perspective of Innovation Systems, arXiv
  7. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks, PLoS ONE
  8. Making Smarter, Savvier Robots, Science
  9. Why music is good for you, Nature
  10. A colorful origin for the genetic code: Information theory, statistical mechanics and the emergence of molecular codes, Physics of Life Reviews
  11. Rethinking Ecosystem Resilience in the Face of Climate Change, PLoS Biol
  12. Incentives and opportunism: from the carrot to the stick, Proc. R. Soc. B
    1. Cooperation in two-person evolutionary games with complex personality profiles, Journal of Theoretical Biology
  13. Patrimony and the Evolution of Risk-Taking, PLoS ONE
    1. Coevolution of honest signaling and cooperative norms by cultural group selection, Biosystems
    2. Adaptive dynamics of cooperation may prevent the coexistence of defectors and cooperators and even cause extinction, Proc. R. Soc. B
  14. Bootstrapping the Mind: Analogical Processes and Symbol Systems, Cognitive Science
  15. Prediction, arXiv
  16. Stability as a natural selection mechanism on interacting networks, arXiv
  17. Neuroscience: Brain's traffic lights, Nature
  18. Ecology: A world without mosquitoes, Nature
  19. Book Announcements
    1. The Nature of Change or the Law of Unintended Consequences: An Introductory Text to Designing Complex Systems and Managing Change, Imperial College Press
    2. Networks in Cell Biology, Cambridge University Press
    3. Discrete Calculus: Applied Analysis on Graphs for Computational Science, Springer
    4. Interdisciplinarity and Climate Change: Transforming Knowledge and Practice for Our Global Future, Routledge
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements
  1. The four hundred years of planetary science since Galileo and Kepler, Nature Next Article Bookmark and Share

    Abstract: For 350 years after Galileo’s discoveries, ground-based telescopes and theoretical modelling furnished everything we knew about the Sun’s planetary retinue. Over the past five decades, however, spacecraft visits to many targets transformed these early notions, revealing the diversity of Solar System bodies and displaying active planetary processes at work. Violent events have punctuated the histories of many planets and satellites, changing them substantially since their birth. Contemporary knowledge has finally allowed testable models of the Solar System’s origin to be developed and potential abodes for extraterrestrial life to be explored. Future planetary research should involve focused studies of selected targets, including exoplanets.
  2. Controlling self-organized criticality in complex networks, Eur. Phys. J. B Next Article Bookmark and Share

    Abstract: A control scheme to reduce the size of avalanches of the Bak-Tang-Wiesenfeld model on complex networks is proposed. Three network types are considered: those proposed by Erdős-Renyi, Goh-Kahng-Kim, and a real network representing the main connections of the electrical power grid of the western United States. The control scheme is based on the idea of triggering avalanches in the highest degree nodes that are near to become critical. We show that this strategy works in the sense that the dissipation of mass occurs most locally avoiding larger avalanches. We also compare this strategy with a random strategy where the nodes are chosen randomly. Although the random control has some ability to reduce the probability of large avalanches, its performance is much worse than the one based on the choice of the highest degree nodes. Finally, we argue that the ability of the proposed control scheme is related to its ability to reduce the concentration of mass on the network.
    1. Contrasting Views of Complexity and Their Implications For Network-Centric Infrastructures, Systems, Man and Cybernetics Next Article Bookmark and Share

      Abstract: There exists a widely recognized need to better understand and manage complex “systems of systems,” ranging from biology, ecology, and medicine to network-centric technologies. This is motivating the search for universal laws of highly evolved systems and driving demand for new mathematics and methods that are consistent, integrative, and predictive. However, the theoretical frameworks available today are not merely fragmented but sometimes contradictory and incompatible. We argue that complexity arises in highly evolved biological and technological systems primarily to provide mechanisms to create robustness. However, this complexity itself can be a source of new fragility, leading to “robust yet fragile” tradeoffs in system design. We focus on the role of robustness and architecture in networked infrastructures, and we highlight recent advances in the theory of distributed control driven by network technologies. This view of complexity in highly organized technological and biological systems is fundamentally different from the dominant perspective in the mainstream sciences, which downplays function, constraints, and tradeoffs, and tends to minimize the role of organization and design.
  3. Food: The growing problem, Nature Next Article Bookmark and Share

    Summary: World hunger remains a major problem, but not for the reasons many suspect. Nature analyses the trends and the challenges of feeding 9 billion by 2050.
    1. Hans Rosling on global population growth, TED.com Next Article Bookmark and Share

      About this talk: The world's population will grow to 9 billion over the next 50 years -- and only by raising the living standards of the poorest can we check population growth. This is the paradoxical answer that Hans Rosling unveils at TED@Cannes (...).
  4. Limbs Made to Measure, PLoS Biol Next Article Bookmark and Share

    Excerpt: This year marks the 150th anniversary of the birth of D'Arcy Thompson, the British biologist, classicist, and all round polymath (For more information on D'Arcy Thompson see www.darcythompson.org). Like many, he was fascinated by the appearance and structure of living matter, and in his influential book, On Growth and Form, he set out to describe and explain the principles of morphogenesis"the way living things grow and acquire their forms. Using a vast range of examples, from the honeycomb in beehives to the spirals in a snail's shell, he emphasized that form should be studied in the context of growth and that to explain shape it was essential to understand the underlying mechanisms. This led to the central thesis of the book: biological forms are the result of mechanical and physical processes that should be described with mathematical precision.
    • Source: Limbs Made to Measure, Anna Kicheva, James Briscoe, DOI: 10.1371/journal.pbio.1000421, PLoS Biol 8(7): e1000421., 2010/07/13
  5. Matt Ridley: When ideas have sex, TED.com Next Article Bookmark and Share

    About this talk: At TEDGlobal 2010, author Matt Ridley shows how, throughout history, the engine of human progress has been the meeting and mating of ideas to make new ideas. It's not important how clever individuals are, he says; what really matters is how smart the collective brain is.
    1. Laurie Santos: A monkey economy as irrational as ours, TED.com Next Article Bookmark and Share

      About this talk: Laurie Santos looks for the roots of human irrationality by watching the way our primate relatives make decisions. A clever series of experiments in "monkeynomics" shows that some of the silly choices we make, monkeys make too.
  6. The Triple Helix Perspective of Innovation Systems, arXiv Next Article Bookmark and Share

    Abstract: Alongside the neo-institutional model of networked relations among universities, industries, and governments, the Triple Helix can be provided with a neo-evolutionary interpretation as three selection environments operating upon one another: markets, organizations, and technological opportunities. How are technological innovation systems different from national ones? The three selection environments fulfill social functions: wealth creation, organization control, and organized knowledge production. The main carriers of this system-industry, government, and academia-provide the variation both recursively and by interacting among them under the pressure of competition. Empirical case studies enable us to understand how these evolutionary mechanisms can be expected to operate in historical instance. The model is needed for distinguishing, for example, between trajectories and regimes.
  7. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks, PLoS ONE Next Article Bookmark and Share

    Excerpt: Digital networks, mobile devices, and the possibility of mining the ever-increasing amount of digital traces that we leave behind in our daily activities are changing the way we can approach the study of human and social interactions. Large-scale datasets, however, are mostly available for collective and statistical behaviors, at coarse granularities, while high-resolution data on person-to-person interactions are generally limited to relatively small groups of individuals. Here we present a scalable experimental framework for gathering real-time data resolving face-to-face social interactions with tunable spatial and temporal granularities. We use active Radio Frequency Identification (RFID) devices that assess mutual proximity in a distributed fashion by exchanging low-power radio packets. We analyze the dynamics of person-to-person interaction networks obtained in three high-resolution experiments carried out at different orders of magnitude in community size. The data sets exhibit common statistical properties and lack of a characteristic time scale from 20 seconds to several hours. (...)
  8. Making Smarter, Savvier Robots, Science Next Article Bookmark and Share

    Summary:
    Which rock? On Mars, the robot Opportunity needed some human help to spot this meteorite. CREDITS: (MAIN) NASA/JPL-CALTECH; NASA/JPL
    What machines of the future really need to learn, say experts who plan to have them explore the far reaches of the solar system, is more independent behavior.
  9. Why music is good for you, Nature Next Article Bookmark and Share

    Summary: A survey of the cognitive benefits of music makes a valid case for its educational importance. But that's not the best reason to teach all children music.
  10. A colorful origin for the genetic code: Information theory, statistical mechanics and the emergence of molecular codes, Physics of Life Reviews Next Article Bookmark and Share

    Abstract: The genetic code maps the sixty-four nucleotide triplets (codons) to twenty amino-acids. While the biochemical details of this code were unraveled long ago, its origin is still obscure. We review information-theoretic approaches to the problem of the code's origin and discuss the results of a recent work that treats the code in terms of an evolving, error-prone information channel. Our model " which utilizes the rate-distortion theory of noisy communication channels " suggests that the genetic code originated as a result of the interplay of the three conflicting evolutionary forces: the needs for diverse amino-acids, for error-tolerance and for minimal cost of resources. The description of the code as an information channel allows us to mathematically identify the fitness of the code and locate its emergence at a second-order phase transition when the mapping of codons to amino-acids becomes nonrandom. The noise in the channel brings about an error-graph, in which edges connect codons that are likely to be confused. The emergence of the code is governed by the topology of the error-graph, which determines the lowest modes of the graph-Laplacian and is related to the map coloring problem.
  11. Rethinking Ecosystem Resilience in the Face of Climate Change, PLoS Biol Next Article Bookmark and Share

    Excerpt: Resilience is usually defined as the capacity of an ecosystem to absorb disturbance without shifting to an alternative state and losing function and services. The concept therefore encompasses two separate processes: resistance"the magnitude of disturbance that causes a change in structure"and recovery"the speed of return to the original structure--"which are fundamentally different but rarely distinguished. Yet, resilience has become a central concept in the management of natural ecosystems. Many current management actions aim to alleviate local stressors in an effort to increase ecosystem resilience to global climate change (...)
  12. Incentives and opportunism: from the carrot to the stick, Proc. R. Soc. B Next Article Bookmark and Share

    Excerpt: Cooperation in public good games is greatly promoted by positive and negative incentives. In this paper, we use evolutionary game dynamics to study the evolution of opportunism (the readiness to be swayed by incentives) and the evolution of trust (the propensity to cooperate in the absence of information on the co-players).
    1. Cooperation in two-person evolutionary games with complex personality profiles, Journal of Theoretical Biology Next Article Bookmark and Share

      Excerpt: We propose a theory of evolution of social systems which generalizes the standard proportional fitness rule of the evolutionary game theory. The formalism is applied to describe the dynamics of two-person one-shot population games.
  13. Patrimony and the Evolution of Risk-Taking, PLoS ONE Next Article Bookmark and Share

    Excerpt: Here we show, using a stochastic simulation of selection between two hypothetical species, “R” (risk-seeking) and “A” (risk-averse) that, when expected reproductive fitness of the individual is unaffected by the making of the risky choice (winnings balanced by losses) natural selection (taken to the point of extinction) favors the risk-averse species. However, the situation is entirely reversed if offspring are permitted to inherit a small fraction of the parent's increased or decreased fitness acquired through risk-taking.
    1. Coevolution of honest signaling and cooperative norms by cultural group selection, Biosystems Next Article Bookmark and Share

      Excerpt: Evolution of cooperative norms is studied in a population where individual and group level selection are both in operation. Individuals play indirect reciprocity game within their group and follow second order norms. [...] It is shown that evolution can lead to a cooperative state where information transferred in a reliable manner, where generous cooperative strategies are dominant. This cooperative state emerges along a sharp transition of norms.
    2. Adaptive dynamics of cooperation may prevent the coexistence of defectors and cooperators and even cause extinction, Proc. R. Soc. B Next Article Bookmark and Share

      Excerpt: It has recently been demonstrated that ecological feedback mechanisms can facilitate the emergence and maintenance of cooperation in public goods interactions: the replicator dynamics of defectors and cooperators can result, for example, in the ecological coexistence of cooperators and defectors. Here we show that these results change dramatically if cooperation strategy is not fixed but instead is a continuously varying trait under natural selection.
  14. Bootstrapping the Mind: Analogical Processes and Symbol Systems, Cognitive Science Next Article Bookmark and Share

    Abstract: Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
  15. Prediction, arXiv Next Article Bookmark and Share

    Excerpt: This chapter first presents a rather personal view of some different aspects of predictability, going in crescendo from simple linear systems to high-dimensional nonlinear systems with stochastic forcing, which exhibit emergent properties such as phase transitions and regime shifts. Then, a detailed correspondence between the phenomenology of earthquakes, financial crashes and epileptic seizures is offered. The presented statistical evidence provides the substance of a general phase diagram for understanding the many facets of the spatio-temporal organization of these systems. A key insight is to organize the evidence and mechanisms in terms of two summarizing measures: (i) amplitude of disorder or heterogeneity in the system and (ii) level of coupling or interaction strength among the system's components.
    • Source: Prediction, Didier Sornette and Ivan Osorio, arXiv:1007.2420, 2010/07/14
  16. Stability as a natural selection mechanism on interacting networks, arXiv Next Article Bookmark and Share

    Abstract: Biological networks of interacting agents exhibit similar topological properties for a wide range of scales, from cellular to ecological levels, suggesting the existence of a common evolutionary origin. A general evolutionary mechanism based on global stability has been proposed recently [J I Perotti, O V Billoni, F A Tamarit, D R Chialvo, S A Cannas, Phys. Rev. Lett. 103, 108701 (2009)]. This mechanism is incorporated into a model of a growing network of interacting agents in which each new agent's membership in the network is determined by the agent's effect on the network's global stability. We show that, out of this stability constraint, several topological properties observed in biological networks emerge in a self organized manner. The influence of the stability selection mechanism on the dynamics associated to the resulting network is analyzed as well.
  17. Neuroscience: Brain's traffic lights, Nature Next Article Bookmark and Share

    Summary: The organization of behaviour as sequences of actions requires proper initiation and termination of each action sequence. The neural circuit that signals instructions to start and stop is now revealed.
  18. Ecology: A world without mosquitoes, Nature Next Article Bookmark and Share

    Excerpt: So what would happen if there were none? Would anyone or anything miss them? Nature put this question to scientists who explore aspects of mosquito biology and ecology, and unearthed some surprising answers.
  19. Book Announcements Next Article Bookmark and Share

    1. The Nature of Change or the Law of Unintended Consequences: An Introductory Text to Designing Complex Systems and Managing Change, Imperial College Press Next Article Bookmark and Share

      Summary:
      This book provides a broad introduction to the surprising nature of change, and explains how the Law of Unintended Consequences arises from the waves of change following one simple change. Change is a constant topic of discussion, whether be it on climate, politics, technology, or any of the many other changes in our lives. Over time, mankind has deliberately built social and technology based systems, but in a truly complex social or technical environment, predictability can break down into a morass of surprising and unexpected consequences. This book will serve as an introduction to complex systems. (...)
    2. Networks in Cell Biology, Cambridge University Press Next Article Bookmark and Share

      Summary:
      The science of complex biological networks is transforming research in areas ranging from evolutionary biology to medicine. This is the first book on the subject, providing a comprehensive introduction to complex network science and its biological applications. With contributions from key leaders in both network theory and modern cell biology, this book discusses the network science that is increasingly foundational for systems biology and the quantitative understanding of living systems. It surveys studies in the quantitative structure and dynamics of genetic regulatory networks, molecular networks underlying cellular metabolism, and other fundamental biological processes. (...)
      • Source: Networks in Cell Biology, Mark Buchanan et al., Cambridge University Press, 2010/07/01
      • Contributed by Anton Joha - antonjohaagmail.com
    3. Discrete Calculus: Applied Analysis on Graphs for Computational Science, Springer Next Article Bookmark and Share

      Summary:
      The field of discrete calculus focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. This unique text brings together into a single framework current research in the three areas of discrete calculus, complex networks, and algorithmic content extraction. Although there have been a few intersections in the literature between these disciplines, they have developed largely independently of one another, yet researchers working in any one of these three areas can strongly benefit from the tools and techniques being used in the others.
    4. Interdisciplinarity and Climate Change: Transforming Knowledge and Practice for Our Global Future, Routledge Next Article Bookmark and Share

      Summary:
      This is a major new book addressing one of the most challenging questions of our time. Its unique standpoint is based on the recognition that effective and coherent interdisciplinarity is necessary to deal with the issue of climate change, and the multitude of linked phenomena which both constitute and connect to it. In the opening chapter, a comprehensive framework is articulated for multidisciplinarity, interdisciplinarity, transdisciplinarity and cross-disciplinary understanding. The subsequent chapters seek to show how this general approach can be used to make intellectual sense of the complex phenomena in and around the issue of climate change. (...)
  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking?, Jonathan B. Dingwell, Joby John, Joseph P. Cusumano, 2010/07/15, PLoS Comput Biol 6(7): e1000856., DOI: 10.1371/journal.pcbi.1000856
      2. A note on the theory of fast money flow dynamics, A. Sokolov, T. Kieu, A. Melatos, 2010/07/16, Eur. Phys. J. B, DOI: 10.1140/epjb/e2010-00223-2
      3. Statistically consistent coarse-grained simulations for critical phenomena in complex networks, Hanshuang Chen and Zhonghuai Hou and Houwen Xin and YiJing Yan, 2010/07/17, arXiv:1007.2901
      4. Intelligent Decisions from the Hive Mind: Foragers and Nectar Receivers of Apis mellifera Collaborate to Optimise Active Forager Numbers, James R. Edwards, Mary R. Myerscough, 2010/07/19, arXiv:1007.3311
      5. Empirical results for pedestrian dynamics and their implications for cellular automata models, Andreas Schadschneider and Armin Seyfried, 2010/07/23, arXiv:1007.4058
    2. Event Announcements Next Article Bookmark and Share

      1. Hands-On Research in Complex Systems School, Buea, Cameroon, 2010/08/2-13
      2. 4th Annual French Complex Systems Summer School, Paris, France, 2010/08/02-20
      3. ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE, 15th Edition, Freiburg, Germany, 2010/08/2-27
      4. Summer School “Achievements and applications of contemporary informatics, mathematics and physics” (AACIMP-2010), Kyiv, Ukraine, 2010/08/3-15
      5. 2010 IEEE-CIS / Surrey Summer School on Computational Intelligence - Theory and Industrial Applications , University of Surrey, Guildford, UK, 2010/08/9-13
      6. European Summer School in Logic, Language and Information (ESSLLI), Copenhagen, Denmark, 10/08/09-20
      7. Singularity Summit, San Francisco, CA, USA, 2010/08/14-15
      8. Systems Biology of Development, Ascona, Switzerland, 2010/08/16-20
      9. Amorphous Computing and Complex Biological Networks, University of Sheffield, UK, 2010/08/17-20
      10. Artificial Life XII (ALife XII), Odense, Denmark, 10/08/19--23.
      11. The Second IEEE International Conference on Social Computing (SocialCom-2010): Enabling Computing, Services and Intelligence for Social Life, Minneapolis, USA, 2010/08/20-22
      12. Second International Workshop SoNet-2010 "Social Networks: Computing and Mining.", Brno, Czech Republic, 2010/09/3-5
      13. Fourth International Conference on the Foundations of Information Science FIS 2010: Towards a New Science of Information, Beijing, China, 2010/09/20-23
      14. From animals to animats: the Eleventh International Conference on the Simulation of Adaptive Behavior (SAB'10), , Paris, France, 2010/08/24-28
      15. 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-10), Toronto, Canada, 2010/08/31-09/03
      16. International Conference OPERATIONS RESEARCH "MASTERING COMPLEXITY", München, Germany, 2010/09/1-3
      17. SoNet-2010: SOCIAL NETWORKS: COMPUTING AND MINING, Brno, Czech Republic, 2010/09/3-5
      18. The Third International Workshop on Guided Self-Organization (GSO-2010), Bloomington, Indiana, USA, 2010/09/4-6
      19. ANTS 2010, Seventh International Conference on Swarm Intelligence, Brussels, Belgium, 10/09/8-10
      20. 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Cardiff, UK, 2010/09/8-10
      21. Artificial Economics, Treviso, Italy, 2010/09/9-10
      22. Workshop on Synthetic Neuroethology , Brighton, UK, 2010/09/9-10
      23. PPSN 2010: 11th International Conference on Parallel Problem Solving From Nature, Krakow, Poland, 2010/09/11-15
      24. European Conference on Complex Systems, Lisbon, Portugal, 2010/09/13-17
      25. 12th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2010), New York City, USA, 2010/09/20-22
      26. Emergence and Design of Robustness, Palma de Mallorca, Spain, 2010/09/21-25
      27. CASoN 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, China, 2010/09/26"28
      28. Data driven dynamical networks, Les Houches, France, 2010/09/26-10/01
      29. SASO 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 2010/09/27-10/01
      30. Primer Congreso Mexicano de Ciencias de la Complejidad, Ciudad Universitaria, D.F., Mexico, 2010/10/4-6
      31. 2nd Workshop on Complex Networks CompleNet 2010, Rio de Janeiro, Brazil, 2010/10/13-15
      32. 1st International Conference on Bionics & Biomechanics, Venice, Italy, 2010/10/14-16
      33. Fifth National Conference on systems science, Fermo, Italy, 2010/10/16
      34. Business Complexity and the Global Leader Conference, Boston, Massachusetts, USA, 2010/10/17-20
      35. Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colorado, USA 2010/10/18-22
      36. CONNECTING THE DOTS: A Network Visualization Symposium, Cambridge, MA, USA, 2010/10/22
      37. 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
      38. First International Conference on Complex Systems Design and Management (CSDM 2010), Paris, France, 2010/10/27-29
      39. International Workshop on Statistical Physics and Biology of Collective Motion, Dresden, Germany, 2010/11/8-12
      40. 2nd Annual Complexity in Business Conference, Washington, DC, USA, 2010/11/12
      41. Science and Innovation Week 2010, Mexico City, Mexico, 2010/11/22-26
      42. JMS2010 Modeling and Simulation Symposium 2010, Mérida, Venezuela, 2010/11/24-26
      43. The 5th Int'l Conference on Bio-Inspired Models of Network, Information and Computing Systems, Boston, MA, USA, 2010/12/1-3
      44. 2010 International Congress on Computer Applications and Computational Science CACS 2010, Singapore, 2010/12/4-6
      45. IEEE/IFIP EUC 2010 (Embedded and ubiquitous computing), Hong Kong SAR, China, 2010/12/11-13
      46. The 14th International Conference On Principles Of Distributed Systems (OPODIS 2010), Tozeur, Tunisia, 2010/12/14-17
      47. SYNTHETIC BIOLOGY Bottom-up, Top-down and Cell-free approaches, Intellectual Property issues, Evry, France, 2010/12/15-16
      48. The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010), Kitakyushu, Japan, 2010/12/15-17
      49. 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), Rome, Italy, 2011/01/28-30
      50. IWSOS 2011, Fifth International Workshop on Self-Organizing Systems , Karlsruhe, Germany, 2011/02/23-25
      51. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/19-22

    3. Webcast Announcements Next Article Bookmark and Share

      1. Smarter Cities NYC. Posted on 2009/10/05

      2. ASSYST Digital Library. Since 09/09

      3. Complex Systems Teleconferences. Since 09/09

      4. Symmetry Festival 2009, Budapest, Hungary, 09/08/1-4.

      5. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, Switzerland, 09/06/8-12

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

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

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

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

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

    4. Other Announcements Bookmark and Share


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