Complexity Digest 2010.08

2010/04/09

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

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Previous issue 2010.07 | Next issue 2010.09

Content

  1. Human genome at ten, Nature
  2. Hierarchical group dynamics in pigeon flocks, Nature
    1. Pigeon 'backpacks' track flock voting, PhysOrg.com
  3. Flocking Behaviour: Agent-Based Simulation and Hierarchical Leadership, JASSS
  4. Complexity, arXiv
  5. Curvature in metabolic scaling, Nature
  6. In the Shadow of Jane Goodall, Science
  7. It Is Not The Entropy You Produce, Rather, How You Produce It, Phil. Tran. B
  8. Evolutionary games in the multiverse, arXiv
    1. Social Preference, Incomplete Information, and the Evolution of Ultimatum Game in the Small World Networks: An Agent-Based Approach, JASSS
  9. Global convergence of quorum-sensing networks, arXiv
  10. The Microbes Made Me Eat It, Science
    1. Metabolism: Fat from fructose, Nature
    2. Addiction: Junk-food junkies, Nature
  11. Under the Hood of Toyota's Recall: 'A Tremendous Expansion of Complexity', Knowledge@Wharton
  12. Grand Unified Theory of AI: New Approach Unites Two Prevailing but Often Opposed Strains in Artificial-Intelligence Research, ScienceDaily
  13. Evolutionary advantage of small populations on complex fitness landscapes, arXiv
  14. A message passing approach for general epidemic models, arXiv
    1. Influence of network dynamics on the spread of sexually transmitted diseases, arXiv
  15. A Vaccine Monkey Wrench?, Science
  16. Follow the Leader: How Those in Charge Make Themselves Known, ScienceDaily
  17. With His Memory Magnetically Erased, A Monkey Knows He Is Uncertain, Biol. Lett.
  18. Book Review: Complexity: A Guided Tour, JASSS
  19. Book Announcements
    1. The Calculus of Selfishness, Princeton University Press
    2. Polystochastic Models for Complexity (Understanding Complex Systems), Springer
    3. Permutation Complexity in Dynamical Systems: Ordinal Patterns, Permutation Entropy and All That, Springer
    4. Nonlinear Oligopolies: Stability and Bifurcations, Springer
  20. Links & Snippets
    1. Other Publications
    2. Neuroscientists Show How Brain Stores Memories of Specific Fears, ScienceDaily
    3. Event Announcements
    4. Webcast Announcements
    5. Other Announcements

  1. Human genome at ten, Nature Next Article Bookmark and Share

    Summary: The draft human genome sequence, announced with much fanfare in 2000, promised great insights into human biology, medicine and evolution. In this special, Nature asks whether the sequence has delivered the insights that were anticipated, and what lessons have been learned from the first post-genome decade. Human genetics in 2010 looks infinitely more complex, and questions about how to make sense of the explosion in biological data are only becoming more pressing.

  2. Hierarchical group dynamics in pigeon flocks, Nature Next Article Bookmark and Share

    Excerpt:
    Graphics: Mate Nagy/images: Simon Walker.
    Here we present results of experiments in which track logs of homing pigeons flying in flocks of up to 10 individuals have been obtained by high-resolution lightweight GPS devices and analysed using a variety of correlation functions inspired by approaches common in statistical physics. We find a well-defined hierarchy among flock members from data concerning leading roles in pairwise interactions, defined on the basis of characteristic delay times between birds’ directional choices. The average spatial position of a pigeon within the flock strongly correlates with its place in the hierarchy, and birds respond more quickly to conspecifics perceived primarily through the left eye"both results revealing differential roles for birds that assume different positions with respect to flock-mates.
    Editor's Note: These results show limitations of some popular flocking models that consider homogeneous interactions between flock members.

    1. Pigeon 'backpacks' track flock voting, PhysOrg.com Next Article Bookmark and Share

      Summary:
      Pigeon 'backpacks' track flock voting (w/ Video)
      Pigeon flocks are guided by a flexible system of leadership in which almost every member gets a ‘vote’ but the votes of high-ranking birds carry more weight, a new study has shown.
      See Also: http://hal.elte.hu/pigeonflocks/

  3. Flocking Behaviour: Agent-Based Simulation and Hierarchical Leadership, JASSS Next Article Bookmark and Share

    Excerpt: We have studied how leaders emerge in a group as a consequence of interactions among its members. We propose that leaders can emerge as a consequence of a self-organized process based on local rules of dyadic interactions among individuals. Flocks are an example of self-organized behaviour in a group and properties similar to those observed in flocks might also explain some of the dynamics and organization of human groups. We developed an agent-based model that generated flocks in a virtual world and implemented it in a multi-agent simulation computer program (...)

  4. Complexity, arXiv Next Article Bookmark and Share

    Excerpt: There is no single definition of complexity (Edmonds 1999; Gershenson 2008; Mitchell 2009), as it acquires different meanings in different contexts. A general notion is the amount of information required to describe a phenomenon (Prokopenko et al. 2008), but it can also be understood as the length of the shortest program required to compute that description, as the time required to compute that description, as the minimal model to statistically describe a phenomenon, etc.
    • Source: Complexity, Carlos Gershenson, arXiv:1003.5947 [To be published in Encyclopedia of Astrobiology (Springer)], 2010/03/30

  5. Curvature in metabolic scaling, Nature Next Article Bookmark and Share

    Summary: It has been thought that the basal metabolic rate of organisms increases as body mass is raised to some power, p. But the value of p has proved controversial, with both 2/3 and 3/4 being proposed. It is found here that the relationship between mass and metabolic rate does not follow a pure power law at all, and requires a quadratic term to account for curvature. Taking temperature and phylogeny into account, this explains why different data sets have produced different exponents when a power law has been fitted.
    • Source: Curvature in metabolic scaling, Tom Kolokotrones, Van Savage, Eric J. Deeds & Walter Fontana, DOI: 10.1038/nature08920, Nature 464, 753-756, 2010/04/01

  6. In the Shadow of Jane Goodall, Science Next Article Bookmark and Share

    Excerpt: This special news report describes research documenting a bevy of unique chimp "cultures," from nut-cracking to grooming techniques, in different communities (p. 34), researchers who have moved beyond teaching apes to communicate (p. 38) to refined studies of vocalizations in both wild and captive chimps (p. 36), magnetic resonance imaging scans of captive chimps that are clarifying how their brains differ from ours (p. 40), cognitive experiments with 14 animals in Japan that are taking the field to new heights (p. 41), and a growing database of CT scans of chimp skeletons (p. 43).

  7. It Is Not The Entropy You Produce, Rather, How You Produce It, Phil. Tran. B Next Article Bookmark and Share

    Excerpts: The principle of maximum entropy production (MEP) seeks to better understand a large variety of the Earth's environmental and ecological systems by postulating that processes far from thermodynamic equilibrium will �adapt to steady states at which they dissipate energy and produce entropy at the maximum possible rate�. (�) Using studies that compared entropy production in the atmosphere of a dry versus humid Earth, we show that two systems might have the same entropy production rate but very different internal dynamics of dissipation. (...)

  8. Evolutionary games in the multiverse, arXiv Next Article Bookmark and Share

    Excerpts: For games with multiple players and more than two strategies, we show that statements derived for pairwise interactions do no longer hold. For two player games with any number of strategies there can be at most one isolated internal equilibrium. (...) Multiplayer games show a great dynamical complexity that cannot be captured based on pairwise interactions. Our results hold for any game and can easily be applied for specific cases, e.g. public goods games or multiplayer stag hunts.

    1. Social Preference, Incomplete Information, and the Evolution of Ultimatum Game in the Small World Networks: An Agent-Based Approach, JASSS Next Article Bookmark and Share

      Excerpt: Certain social preference models have been proposed to explain fairness behavior in experimental games. Existing bodies of research on evolutionary games, however, explain the evolution of fairness merely through the self-interest agents. This paper attempts to analyze the ultimatum game's evolution on complex networks when a number of agents display social preference. Agents' social preference is modeled in three forms: fairness consideration or maintaining a minimum acceptable money level, inequality aversion, and social welfare preference.

  9. Global convergence of quorum-sensing networks, arXiv Next Article Bookmark and Share

    Excerpt: In many natural synchronization phenomena, communication between individual elements occurs not directly, but rather through the environment. One of these instances is bacterial quorum sensing, where bacteria release signaling molecules in the environment which in turn are sensed and used for population coordination. Extending this motivation to a general non- linear dynamical system context, this paper analyzes synchronization phenomena in networks where communication and coupling between nodes are mediated by shared dynamical quan- tities, typically provided by the nodes' environment.

  10. The Microbes Made Me Eat It, Science Next Article Bookmark and Share

    Excerpt: We share our bodies with a huge array of microorganisms. Many of these live in the intestine and number in the trillions (...) Vijay-Kumar et al. (2) show that the interaction between our immune system and these gut microbes plays an important role in the metabolic diseases that plague developed countries, with profound implications for the rise in obesity and what can be done about it.
    • Source: The Microbes Made Me Eat It, Darleen A. Sandoval and Randy J. Seeley, DOI: 10.1126/science.1188876, Science Vol. 328. no. 5975, pp. 179 - 180, 2010/04/09

    1. Metabolism: Fat from fructose, Nature Next Article Bookmark and Share

      Excerpt: High-fructose corn syrup has been proposed to account for as much as 7% of the daily caloric intake in the United States " a conservative estimate, say Bartley Hoebel and his team at Princeton University in New Jersey. They report that rats fed high-fructose corn syrup along with their regular chow for eight weeks gained more weight than those that munched on sucrose-supplemented chow, even when they consumed the same total number of calories.

    2. Addiction: Junk-food junkies, Nature Next Article Bookmark and Share

      Excerpt: Drug addicts' brain reward circuits often exhibit dulled responses, leading the addicts to seek more of the addictive substance to get their fix. Work in rats indicates that fatty foods may trigger similar responses.

  11. Under the Hood of Toyota's Recall: 'A Tremendous Expansion of Complexity', Knowledge@Wharton Next Article Bookmark and Share

    Summary: In the wake of complaints about sudden acceleration problems that have led to the recall of millions of Toyotas over the past few months, the automaker has faced criticism over everything from the design of its cars to the failure of company executives to acknowledge and address the issue head on. Perhaps most damaging is the hit to Toyota's overall reputation for quality. Wharton management professor John Paul MacDuffie recently sat down withTakahiro Fujimoto -- an economics professor from the University of Tokyo and a leading authority on the Toyota production system and automotive product development -- for his views on what caused the crisis, how Toyota has handled it, and how other car companies should react to Toyota's predicament.

  12. Grand Unified Theory of AI: New Approach Unites Two Prevailing but Often Opposed Strains in Artificial-Intelligence Research, ScienceDaily Next Article Bookmark and Share

    Excerpts: In the 1950s and '60s, artificial-intelligence researchers saw themselves as trying to uncover the rules of thought. But those rules turned out to be way more complicated than anyone had imagined. Since then, artificial-intelligence (AI) research has come to rely, instead, on probabilities -- statistical patterns that computers can learn from large sets of training data. The probabilistic approach has been responsible for most of the recent progress in artificial intelligence, such as voice recognition systems, or the system that recommends movies to Netflix subscribers. (�) thinks that AI gave up too much when it gave up rules. (�)

  13. Evolutionary advantage of small populations on complex fitness landscapes, arXiv Next Article Bookmark and Share

    Excerpts: Recent experimental and theoretical studies have shown that small asexual populations evolving on complex fitness landscapes may achieve a higher fitness than large ones due to the increased heterogeneity of adaptive trajectories. Here we introduce a class of haploid three-locus fitness landscapes that allows to investigate this scenario in a precise and quantitative way. (...) Our study indicates that an advantage for small populations is likely whenever the fitness landscape contains local maxima. The advantage appears at intermediate time scales, which are long enough for trapping at local fitness maxima to have occurred but too short for peak escape by the creation of multiple mutants.

  14. A message passing approach for general epidemic models, arXiv Next Article Bookmark and Share

    Excerpt: In most models of the spread of disease over contact networks it is assumed that the probabilities of disease transmission and recovery from disease are constant in time. In real life, however, this is far from true. In many diseases, for instance, recovery occurs at about the same time after infection for all individuals, rather than at a constant rate. In this paper, we study a generalized version of the SIR (susceptible-infected-recovered) model of epidemic disease that allows for arbitrary nonuniform distributions of transmission and recovery times.

    1. Influence of network dynamics on the spread of sexually transmitted diseases, arXiv Next Article Bookmark and Share

      Excerpt: Network epidemiology often assumes that the relationships defining the social network of a population are static. The dynamics of relationships is only taken indirectly into account, by assuming that the relevant information to study epidemic spread is encoded in the network obtained by considering numbers of partners accumulated over periods of time roughly proportional to the infectious period of the disease at hand. On the other hand, models explicitly including social dynamics are often too schematic to provide a reasonable representation of a real population, or so detailed that no general conclusions can be drawn from them. Here we present a model of social dynamics that is general enough that its parameters can be obtained by fitting data from surveys about sexual behaviour, but that can still be studied analytically, using mean field techniques.

  15. A Vaccine Monkey Wrench?, Science Next Article Bookmark and Share

    Summary: Cytomegalovirus (CMV) is an enveloped DNA virus that, like other herpes viruses, establishes life-long latency in its host after infection. Reactivation of latent virus or secondary infection by the same (or similar) virus frequently occurs, confounding the host's ability to establish immune protection. In industrialized countries, primary, recurrent, and secondary infection during pregnancy is the greatest cause of many congenital diseases such as childhood deafness, and neurological handicaps, including mental retardation. Hence, development of a vaccine against human CMV is a high priority (1). On page 102 of this issue, Hansen et al. (2) elucidate how CMV reinfects its human host despite the immune system's capacity to control primary infection.
    • Source: A Vaccine Monkey Wrench?, Hartmut Hengel, Ulrich H. Koszinowski, DOI: 10.1126/science.1188578, Science Vol. 328. no. 5974, pp. 51 - 52, 2010/04/02

  16. Follow the Leader: How Those in Charge Make Themselves Known, ScienceDaily Next Article Bookmark and Share

    Excerpts: Do you find yourself leading groups, or are you naturally more comfortable following others? New research shows that if you want to be a leader you're better off at the edges of a crowd, and not in the middle of the action. In a series of experiments on crowd behaviour, (�) found that successful leaders display more decisive behaviour, spending less time following others and acting more quickly than others in the group. (�) Understanding how individuals behave in groups is important in predicting how the whole group behaves en masse, and has implications for the management of our physical environment.

  17. With His Memory Magnetically Erased, A Monkey Knows He Is Uncertain, Biol. Lett. Next Article Bookmark and Share

    Excerpt: Although intelligence is associated with what one knows, it is also important to recognize and to respond adaptively when one is uncertain. This competency has been examined developmentally and comparatively, but it is difficult to distinguish between objective versus subjective cues to which organisms may respond. In this study, transcranial magnetic stimulation was used to disrupt cognitive processing by a rhesus monkey (Macaca mulatta) in a computerized divided visual field memory task. When magnetic stimulation disrupted neural activity in the cerebral hemisphere that initially processed the visual images, recognition accuracy declined and use of the uncertain response significantly increased, relative to control conditions. Thus, the monkey tended to respond adaptively (�).

  18. Book Review: Complexity: A Guided Tour, JASSS Next Article Bookmark and Share

    Excerpt:
    The strength of Complexity: A Guided Tour arises from the author's clear and concise presentation of the family of concepts and methods that make up the less-than-unified sciences of complexity. In five parts and 19 chapters the tour visits a variety of places (topics). Given the space available (349 pages, including end-notes, bibliography and index) and the aim of producing a work accessible to the layperson (which nonetheless requires careful reading and re-reading as with any science book that is not merely anecdotal) Melanie Mitchell has done an excellent job of describing, analyzing and explaining each of these topics.

  19. Book Announcements Next Article Bookmark and Share

    1. The Calculus of Selfishness, Princeton University Press Next Article Bookmark and Share

      Summary:
      How does cooperation emerge among selfish individuals? When do people share resources, punish those they consider unfair, and engage in joint enterprises? These questions fascinate philosophers, biologists, and economists alike, and this book looks at social dilemmas where cooperative motivations are subverted and self-interest becomes self-defeating. Focusing on some of the best-known social and economic experiments, including games such as the Prisoner's Dilemma, Trust, Ultimatum, Snowdrift, and Public Good, Sigmund explores the conditions leading to cooperative strategies. His approach is based on evolutionary game dynamics, applied to deterministic and probabilistic models of economic interactions.
      • Source: The Calculus of Selfishness, Karl Sigmund, Princeton University Press, 2010/02/01
      • Contributed by Anton Joha - antonjohaagmail.com

    2. Polystochastic Models for Complexity (Understanding Complex Systems), Springer Next Article Bookmark and Share

      Summary:
      This book is devoted to complexity understanding and management, considered as the main source of efficiency and prosperity for the next decades. The book begins with a presentation of basic concepts as complexity, emergence and closure. The second chapter looks to methods and introduces polystochastic models, the wave equation, possibilities and entropy. The third chapter focusing on physical and chemical systems analyzes flow-sheet synthesis, cyclic operations of separation, drug delivery systems and entropy production. Biomimetic systems represent the main objective of the fourth chapter. The fifth chapter, taking its inspiration from systems sciences and cognitive sciences. (...)

    3. Permutation Complexity in Dynamical Systems: Ordinal Patterns, Permutation Entropy and All That, Springer Next Article Bookmark and Share

      Summary:
      The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic blocks are ordinal patterns, that is, permutations defined by the order relations among points in the orbits of dynamical systems. Since its inception in 2002 the concept of permutation entropy has sparked a new branch of research in particular regarding the time series analysis of dynamical systems that capitalizes on the order structure of the state space. Indeed, on one hand ordinal patterns and periodic points are closely related, yet ordinal patterns are amenable to numerical methods, while periodicity is not. (...)

    4. Nonlinear Oligopolies: Stability and Bifurcations, Springer Next Article Bookmark and Share

      Summary:
      The book focuses on the dynamics of nonlinear oligopoly models. It discusses the classical Cournot model with a large variety of demand and cost functions that illustrate the many different types of possible best response functions and shows the existence of unique and multiple equilibria. Particular emphasis is placed on the influence of nonnegativity and capacity constraints. The book considers a range of oligopolies and gives conditions for the local asymptotic stability of their equilibria; the impact of constraints is also discussed. The book contains a number of technical appendices that summarize techniques of global dynamics not easily accessible elsewhere.

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. Biologists Discover an On/off Button on Plants' Alarm System, 2010/04/01, ScienceDaily & VIB (the Flanders Institute for Biotechnology)
      2. Leonardo Da Vinci's 'The Last Supper' Reveals More Secrets, 2010/04/01, ScienceDaily & University of Montreal
      3. Depressed? Fearful? It Might Help To Worry, Too, 2010/04/01 ref_journal Innovations-report
      4. Many Factors Contribute to Adolescents' Decision-Making Autonomy, 2010/04/02, ScienceDaily & Penn State
      5. Complex Vocal Imitation During Ontogeny In A Bat, M. Kn�rnschild - knoerriagmx.de, M. Nagy, M. Metz, F. Mayer, O. von Helversen, April 2010, online 2009/10/28, Biol. Lett., DOI: 10.1098/rsbl.2009.0685

    2. Neuroscientists Show How Brain Stores Memories of Specific Fears, ScienceDaily Next Article Bookmark and Share

      Excerpts: The brain is capable of holding and retrieving memories for specific fears, revealing a more sophisticated storage and recall capacity than previously thought, neuroscientists have found. The study, (�) may have implications for treating post-traumatic stress syndrome -- as scientists begin to understand how different fears are stored in the brain, they can move toward addressing specific fear memories. (�) The research focused on the brain's amygdala, which has previously been shown to store fear memories. However, prior studies have indicated that the amygdala does not discriminate among the different threats it holds and processes. (�)
      1. Biologists Discover an On/off Button on Plants' Alarm System, 2010/04/01, ScienceDaily & VIB (the Flanders Institute for Biotechnology)
      2. Leonardo Da Vinci's 'The Last Supper' Reveals More Secrets, 2010/04/01, ScienceDaily & University of Montreal
      3. Depressed? Fearful? It Might Help To Worry, Too, 2010/04/01 ref_journal Innovations-report
      4. Many Factors Contribute to Adolescents' Decision-Making Autonomy, 2010/04/02, ScienceDaily & Penn State
      5. Complex Vocal Imitation During Ontogeny In A Bat, M. Kn�rnschild - knoerriagmx.de, M. Nagy, M. Metz, F. Mayer, O. von Helversen, April 2010, online 2009/10/28, Biol. Lett., DOI: 10.1098/rsbl.2009.0685

    3. Event Announcements Next Article Bookmark and Share

      1. EmergeNET4: Engineering Emergence, York, UK, 2010/04/19-20
      2. Emergence and Design of Robustness, Palma de Mallorca, Spain, 2010/04/19-23
      3. Wyss Symposium: New Directions in Synthetic Biology, Boston, MA, USA, 2010/04/30
      4. Second International Workshop-School CHAOS and DYNAMICS in BIOLOGICAL NETWORKS, Corsica, France, 2010/05/3-8
      5. AAMAS-2010, the 9th International Conference on Autonomous Agents and Multiagent Systems, Toronto Canada, 2010/05/10-14
      6. The IV International Workshop on Nature Inspired Cooperative Strategies for Optimization - NICSO 2010, Granada, Spain, 10/05/12-14
      7. Exploring Complexity in Science and Technology from a Santa Fe Institute Perspective, Portland, Oregon , 2010/05/19-21
      8. Morphogenesis in Living Systems 2010, Paris, France, 2010/05/27-29
      9. International Conference on Computational Science 2010 (ICCS 2010), University of Amsterdam, The Netherlands, 2010/05/31-06/2
      10. WDN 2010 International Workshop on Dynamic Networks, Avignon, France, 2010/06/04
      11. ICEIS 2010 (12th International Conference on Enterprise Information Systems), Funchal-Madeira, Portugal, 10/06/6-10
      12. NECSI Summer School 2010, Cambridge, MA, USA, 2010/06/7-18
      13. International Workshop on Living Organisms in Flows: From Small-Scale Turbulence to Geophysical Flows, Palma de Mallorca, Spain, 2010/06/7-11
      14. ICAC 2010, the 7th IEEE International Conference on Autonomic Computing, Washington, DC, USA, 2010/06/7-11
      15. Multi-disciplinary approach of complexity, networks, geosimulations , Lausanne, Switzerland, 2010/06/9-11
      16. The International Workshop on Computing with Spatio-Temporal Dynamics, Tokyo, Japan, 2010/06/21-25
      17. NKS Summer School, University of Vermont, USA, 2010/06/21-07/09
      18. First European Summer School on Life & Cognition, Donostia-San Sebastian, Basque Country, Spain, 2010/06/22-26
      19. International Conference on Information Society (i-Society 2010) , London, UK, 2010/06/28-30
      20. Tomorrow's Giants, London, UK, 2010/07/01
      21. 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), Beijing, China, 2010/07/7-9
      22. Genetic and Evolutionary Computation Conference (GECCO-2010), Portland, Oregon, USA, 2010/07/7-11
      23. The 2010 Advanced Geographical Analysis and Modeling Workshop, Neve Ilan, Israel, 2010/07/8-10
      24. New Frontiers in Complex Networks: A Statphys24 Satellite Meeting, Seoul, Korea, 2010/07/12-16
      25. The First Australasian Workshop on Computation in Cyber-Physical Systems (CompCPS-2010), Sydney, Australia, 2010/07/15-16
      26. 2010 World Congress on Computational Intelligence (IJCNN 2010, FUZZ-IEEE 2010, and IEEE CEC 2010), Barcelona, Spain, 10/07/18-23
      27. The 2010 International Conference on Informatics Cypernetics, and Computer Applications (ICICCA2010), Bangalore, India, 2010/07/19-21
      28. 1st International Workshop on Complexity and Real World Applications: Using the Tools and Concepts from the Complexity Sciences to Support Real World Decision-making Activities, Southampton, England, UK, 2010/07/21-23
      29. 2010 International Conference on the Business and Digital Enterprises (ICBDE 2010), Bangalore, India, 2010/07/22-24
      30. Dynamics Days South America, São José dos Campos, Brazil, 2010/07/26-30
      31. Hands-On Research in Complex Systems School, Buea, Cameroon, 2010/08/2-13
      32. ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE, 15th Edition, Freiburg, Germany, 2010/08/2-27
      33. European Summer School in Logic, Language and Information (ESSLLI), Copenhagen, Denmark, 10/08/09-20
      34. Systems Biology of Development, Ascona, Switzerland, 2010/08/16-20
      35. Amorphous Computing and Complex Biological Networks, University of Sheffield, UK, 2010/08/17-20
      36. Artificial Life XII (ALife XII), Odense, Denmark, 10/08/19--23.
      37. The Second IEEE International Conference on Social Computing (SocialCom-2010): Enabling Computing, Services and Intelligence for Social Life, Minneapolis, USA, 2010/08/20-22
      38. Fourth International Conference on the Foundations of Information Science FIS 2010: Towards a New Science of Information, Beijing, China, 2010/09/20-23
      39. From animals to animats: the Eleventh International Conference on the Simulation of Adaptive Behavior (SAB'10), , Paris, France, 2010/08/24-28
      40. 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-10), Toronto, Canada, 2010/08/31-09/03
      41. International Conference OPERATIONS RESEARCH "MASTERING COMPLEXITY", München, Germany, 2010/09/1-3
      42. SoNet-2010: SOCIAL NETWORKS: COMPUTING AND MINING, Brno, Czech Republic, 2010/09/3-5
      43. ANTS 2010, Seventh International Conference on Swarm Intelligence, Brussels, Belgium, 10/09/8-10
      44. 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Cardiff, UK, 2010/09/8-10
      45. Artificial Economics, Treviso, Italy, 2010/09/9-10
      46. PPSN 2010: 11th International Conference on Parallel Problem Solving From Nature, Krakow, Poland, 2010/09/11-15
      47. European Conference on Complex Systems, Lisbon, Portugal, 2010/09/13-17
      48. 12th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2010), New York City, USA, 2010/09/20-22
      49. CASoN 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, China, 2010/09/26"28
      50. Data driven dynamical networks, Les Houches, France, 2010/09/26-10/01
      51. SASO 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 2010/09/27-10/01
      52. 2nd Workshop on Complex Networks CompleNet 2010, Rio de Janeiro, Brazil, 2010/10/13-15
      53. 1st International Conference on Bionics & Biomechanics, Venice, Italy, 2010/10/14-16
      54. Fifth National Conference on systems science, Fermo, Italy, 2010/10/16
      55. Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colorado, USA 2010/10/18-22
      56. The 5th Int'l Conference on Bio-Inspired Models of Network, Information and Computing Systems, Boston, MA, USA, 2010/12/1-3
      57. 2010 International Congress on Computer Applications and Computational Science CACS 2010, Singapore, 2010/12/4-6

    4. 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

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