Complexity Digest 2010.18

2010/08/27

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

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2010.17 | Next issue 2010.19

Content

  1. The evolution of eusociality, Nature
  2. Optimally Interacting Minds, Science
  3. Promiscuity and the evolutionary transition to complex societies, Nature
  4. After the pandemic, Nature
  5. Sheena Iyengar on the art of choosing, TED.com
    1. Sheena Iyengar on the Power of Choice -- and Why It Doesn't Always Bring Us What We Want, Knowledge@Wharton
    2. Why Making Our Own Choices Is More Satisfying When Pleasure Is the Goal, ScienceDaily
  6. Landscape Evolutionary Genomics, Biol. Lett.
  7. Cheaters In Mutualism Networks, Biol. Lett.
  8. Evolution under Fluctuating Environments Explains Observed Robustness in Metabolic Networks, PLoS Comput Biol
  9. Wither complexity?, Econophysics Forum
  10. Network Complexity of Foodwebs, arXiv
    1. A New Measure of Centrality for Brain Networks, PLoS ONE
  11. A Simple Self-Maintaining Metabolic System: Robustness, Autocatalysis, Bistability, PLoS Comput Biol
  12. Disasters widen the richâ€"poor gap, Nature
  13. Applying DNA computation to intractable problems in social network analysis, Biosystems
  14. Reconstruction of the Molecular Origin of Life, Journal of Cosmology
    1. How Life Began: The Emergence of Sparse Metabolic Networks, Journal of Cosmology
  15. Love kills: Simulations in Penna Ageing Model, arXiv
  16. Managing Uncertainty: A Review Of Food System Scenario Analysis And Modelling, Phil. Trans. B
  17. Organizations Learn More from Failure Than Success, Study Finds; Knowledge Gained from Failure Lasts Longer, ScienceDaily
  18. Frequency-Dependent Selection Predicts Patterns of Radiations and Biodiversity, PLoS Comput Biol
  19. Book Announcements
    1. Language, Usage and Cognition, Cambridge University Press
    2. Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences, Birkhäuser Boston
    3. Mathematical Foundations of Neuroscience, Springer
    4. Law, Economics, and Morality, Oxford University Press
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. The evolution of eusociality, Nature Next Article Bookmark and Share

    Abstract: Eusociality, in which some individuals reduce their own lifetime reproductive potential to raise the offspring of others, underlies the most advanced forms of social organization and the ecologically dominant role of social insects and humans. For the past four decades kin selection theory, based on the concept of inclusive fitness, has been the major theoretical attempt to explain the evolution of eusociality. Here we show the limitations of this approach. We argue that standard natural selection theory in the context of precise models of population structure represents a simpler and superior approach, allows the evaluation of multiple competing hypotheses, and provides an exact framework for interpreting empirical observations.
    • Source: The evolution of eusociality, Martin A. Nowak, Corina E. Tarnita & Edward O. Wilson, DOI: 10.1038/nature09205, Nature 466, 1057â€"1062, 2010/08/26

  2. Optimally Interacting Minds, Science Next Article Bookmark and Share

    Excerpt: In everyday life, many people believe that two heads are better than one. Our ability to solve problems together appears to be fundamental to the current dominance and future survival of the human species. But are two heads really better than one? We addressed this question in the context of a collective low-level perceptual decision-making task. For two observers of nearly equal visual sensitivity, two heads were definitely better than one, provided they were given the opportunity to communicate freely, even in the absence of any feedback about decision outcomes. But for observers with very different visual sensitivities, two heads were actually worse than the better one.
    • Source: Optimally Interacting Minds, Bahador Bahrami, Karsten Olsen, Peter E. Latham, Andreas Roepstorff, Geraint Rees, Chris D. Frith, DOI: 10.1126/science.1185718, Science Vol. 329. no. 5995, pp. 1081 - 1085, 2010/08/27

  3. Promiscuity and the evolutionary transition to complex societies, Nature Next Article Bookmark and Share

    Summary: A phylogenetic analysis of breeding behaviour in birds shows that cooperation is more likely when promiscuity is low â€" a circumstance in which helpers can be more certain that they are offering aid to relatives. Intermediate levels of promiscuity favour the ability to distinguish relatives from non-relatives. At high levels of promiscuity, no form of cooperation is favoured. Levels of promiscuity therefore provide an explanation for differences between species in levels of cooperation.

  4. After the pandemic, Nature Next Article Bookmark and Share

    Excerpt: Earlier this month, Margaret Chan, director-general of the World Health Organization (WHO) in Geneva, confirmed two things that many scientists already knew to be true: the H1N1 influenza pandemic is over, and the world was lucky. A disease that could have mutated into a highly lethal strain turned out to be comparatively mild.

  5. Sheena Iyengar on the art of choosing, TED.com Next Article Bookmark and Share

    About this talk: Sheena Iyengar studies how we make choices -- and how we feel about the choices we make. At TEDGlobal, she talks about both trivial choices (Coke v. Pepsi) and profound ones, and shares her groundbreaking research that has uncovered some surprising attitudes about our decisions.

    1. Sheena Iyengar on the Power of Choice -- and Why It Doesn't Always Bring Us What We Want, Knowledge@Wharton Next Article Bookmark and Share

      Summary:
      In March 2010, Sheena Iyengar, a professor at Columbia Business School, published a book titled, The Art of Choosing. The book, she says, reflects her interest in how people make choices, including how they are able to navigate both the opportunities and responsibilities that an abundance of choice can bring. In a video presentation, Iyengar offers Knowledge@Wharton viewers her perspective on the need to separate choices that are "meaningful and uplifting" from those that tend to distract us or that lead to unwise decisions.

    2. Why Making Our Own Choices Is More Satisfying When Pleasure Is the Goal, ScienceDaily Next Article Bookmark and Share

      Excerpts: When it comes to our own pleasure, we like having a choice, but when it comes to utilitarian goals, we're just as happy being told what to do, according to a new study in the Journal of Consumer Research. "Imagine a patron at a fixed-menu restaurant who is dining either for the sheer pleasure of tasting the food or to achieve some higher-level goal -- for example, a better understanding of the local culture," write (ďż˝). "In these two cases, would the diner's satisfaction with the restaurant's pre-determined choices differ from the satisfaction she would experience with her own menu choices?"

  6. Landscape Evolutionary Genomics, Biol. Lett. Next Article Bookmark and Share

    Abstract: Tremendous advances in genetic and genomic techniques have resulted in the capacity to identify genes involved in adaptive evolution across numerous biological systems. One of the next major steps in evolutionary biology will be to determine how landscape-level geographical and environmental features are involved in the distribution of this functional adaptive genetic variation. Here, I outline how an emerging synthesis of multiple disciplines has and will continue to facilitate a deeper understanding of the ways in which heterogeneity of the natural landscapes mould the genomes of organisms.
    • Source: Landscape Evolutionary Genomics, D. B. Lowry - davidbryantlowryagmail.com, DOI: 10.1098/rsbl.2009.0969, Biol. Lett., 2010/08/23
    • Contributed by Atin Das - dasatinayahoo.co.in

  7. Cheaters In Mutualism Networks, Biol. Lett. Next Article Bookmark and Share

    Excerpts: Mutualism-network studies assume that all interacting species are mutualistic partners and consider that all links are of one kind. However, the influence of different types of links, such as cheating links, on network organization remains unexplored. We studied two flower-visitation networks (Malpighiaceae and Bignoniaceae and their flower visitors), and divide the types of link into cheaters (i.e. robbers and thieves of flower rewards) and effective pollinators. We investigated if there were topological differences among networks with and without cheaters, (ďż˝). As cheaters are ubiquitous in all mutualisms, the results presented here show that they have a strong impact upon network topology.
    • Source: Cheaters In Mutualism Networks, J. Genini - julieta.geniniagmail.com, L. P. C. Morellato, P. R. Guimarďż˝es Jr2, J. M. Olesen, DOI: 10.1098/rsbl.2009.0969, Biol. Lett., 2010/08/23
    • Contributed by Atin Das - dasatinayahoo.co.in

  8. Evolution under Fluctuating Environments Explains Observed Robustness in Metabolic Networks, PLoS Comput Biol Next Article Bookmark and Share

    Excerpt: One of the most surprising recent biological findings is the high level of tolerance organisms show towards loss of single genes. This observation suggests that there are certain features of biological systems that give them a high tolerance (i.e. robustness) towards gene loss. We still lack an exact understanding of what these features might be and how they could have been acquired during evolution. Here, we offer a possible answer for these questions in the context of metabolic networks. Using mathematical models capturing the structure and dynamics of metabolic networks, we simulate their evolution under stable and fluctuating environments (i.e., available metabolites). We find that the latter scenario leads to evolution of metabolic networks that display high robustness against gene loss.

  9. Wither complexity?, Econophysics Forum Next Article Bookmark and Share

    Excerpt: A basic problem with complexity is that we would like to characterize all complex systems both verbally and mathematically and do so in a clear, concise and distinctive manner, as do scientists with many of the systems found in other fields. Such characterizations are necessary if we are to distinguish complex systems from other kinds of dynamical systems, influence their functioning, forecast their behavior and formulate the public policies to be followed in dealing with them. This paper surveys progress to date and suggests some promising avenues for further research but reaches a guarded conclusion.

  10. Network Complexity of Foodwebs, arXiv Next Article Bookmark and Share

    Abstract: In previous work, I have developed an information theoretic complexity measure of networks. When applied to several real world food webs, there is a distinct difference in complexity between the real food web, and randomised control networks obtained by shuffling the network links. One hypothesis is that this complexity surplus represents information captured by the evolutionary process that generated the network. In this paper, I test this idea by applying the same complexity measure to several well-known artificial life models that exhibit ecological networks: Tierra, EcoLab and Webworld. Contrary to what was found in real networks, the artificial life generated foodwebs had little information difference between itself and randomly shuffled versions.

    1. A New Measure of Centrality for Brain Networks, PLoS ONE Next Article Bookmark and Share

      Excerpt: Recent developments in network theory have allowed for the study of the structure and function of the human brain in terms of a network of interconnected components. [...] In the work presented here, we propose a new centrality metric called leverage centrality that considers the extent of connectivity of a node relative to the connectivity of its neighbors. The leverage centrality of a node in a network is determined by the extent to which its immediate neighbors rely on that node for information. [...] Degree, betweenness, eigenvector, and leverage centrality were compared using functional brain networks generated from healthy volunteers. [...] We propose that this metric may be able to identify critical nodes that are highly influential within the network.

  11. A Simple Self-Maintaining Metabolic System: Robustness, Autocatalysis, Bistability, PLoS Comput Biol Next Article Bookmark and Share

    Summary: The question of whether a whole organism (as opposed to particular properties of an organism) can be modeled in the computer has been controversial. As a step towards resolving it, we have studied the feasibility of simulating the behavior of a simple theoretical model in which all the catalysts needed for the metabolism of a system are themselves products of the metabolism itself, and in which there is a continuous loss of catalysts in unavoidable degradation reactions. In addition to a trivial (“dead”) steady state in which all rates are zero, the model is capable of establishing a stable non-trivial steady state with finite and reproducible fluxes. This can be achieved by “seeding” it with a sufficient quantity of at least one of the catalysts needed for functioning. It is also robust, because it can recover from a catastrophic disappearance of a catalyst.

  12. Disasters widen the richâ€"poor gap, Nature Next Article Bookmark and Share

    Excerpt: In many ways, this disproportionate effect is no surprise. Poorer people's homes tend to be constructed to a lower standard, and occupy marginal areas such as swampy, low-lying land. But it is surprising that even in the developed world â€" where much effort and strategy goes into recovery efforts â€" the division between rich and poor is allowed to broaden in the wake of a disaster. The same thing happened after Hurricane Andrew in Florida in 1992, and the Chicago heat wave of 1995.

  13. Applying DNA computation to intractable problems in social network analysis, Biosystems Next Article Bookmark and Share

    Excerpt: Based on mathematical graph theory, social network analysis (SNA) has been developed in and applied to various fields [...] This paper provides DNA-computing-based approaches with inherently high information density and massive parallelism. Using these approaches, we aim to solve the three primary problems of social networks: N-clique, N-clan, and N-club. Their accuracy and feasible time complexities discussed in the paper will demonstrate that DNA computing can be used to facilitate the development of SNA.

  14. Reconstruction of the Molecular Origin of Life, Journal of Cosmology Next Article Bookmark and Share

    Abstract: Instead of starting with one or another plausible chemical scenario of origin of life the author looks for traces of early molecular evolution in modern sequences, assuming that sequences successful in the past are still successful today. Reconstruction of the molecular past on this basis turned out to be very fruitful, resulting in several highly non-trivial predictions confirmed by analysis of modern sequences. The reconstruction covers events from simple repetitive RNA duplex to stages of evolution of genetic code and very first proteins of LUCA (Last Universal Common Ancestor) repertoire. The events prior to the repetitive RNA can be only speculated, but also partially confirmed experimentally, suggesting the path towards experimental reconstruction.

    1. How Life Began: The Emergence of Sparse Metabolic Networks, Journal of Cosmology Next Article Bookmark and Share

      Excerpt: The metabolome of extant life is remarkably sparse relative to chemical space. If life originated in ponds and lagoons at the surface of the earth, substantial pruning of a complex set of organic molecules must have occurred, whereas if it originated at hydrothermal vents, an extremely sparse network must have been elaborated. We discuss the interplay of factors that influenced selection of certain molecules as participants in the network of metabolism while others with similar properties were excluded.

  15. Love kills: Simulations in Penna Ageing Model, arXiv Next Article Bookmark and Share

    Abstract: The standard Penna ageing model with sexual reproduction is enlarged by adding additional bit-strings for love: Marriage happens only if the male love strings are sufficiently different from the female ones. We simulate at what level of required difference the population dies out.

  16. Managing Uncertainty: A Review Of Food System Scenario Analysis And Modelling, Phil. Trans. B Next Article Bookmark and Share

    Excerpt: Complex socio-ecological systems like the food system are unpredictable, especially to long-term horizons such as 2050. In order to manage this uncertainty, scenario analysis has been used in conjunction with food system models to explore plausible future outcomes. Food system scenarios use a diversity of scenario types and modelling approaches determined by the purpose of the exercise and by technical, methodological and epistemological constraints. Our case studies do not suggest Malthusian futures for a projected global population of 9 billion in 2050; but international trade will be a crucial determinant of outcomes; and the concept of sustainability across the dimensions of the food system has been inadequately explored so far. (ďż˝)

  17. Organizations Learn More from Failure Than Success, Study Finds; Knowledge Gained from Failure Lasts Longer, ScienceDaily Next Article Bookmark and Share

    Excerpts: While success is surely sweeter than failure, it seems failure is a far better teacher, and organizations that fail spectacularly often flourish more in the long run, according to a new study (ďż˝) focused on companies and organizations that launch satellites, rockets and shuttles into space -- an arena where failures are high profile and hard to conceal. (ďż˝) "We found that the knowledge gained from success was often fleeting while knowledge from failure stuck around for years," he said. "But there is a tendency in organizations to ignore failure or try not to focus on it. (ďż˝)."

  18. Frequency-Dependent Selection Predicts Patterns of Radiations and Biodiversity, PLoS Comput Biol Next Article Bookmark and Share

    Excerpt: Ecological opportunity, or filling a pre-existing unoccupied adaptive zone, is considered the dominant mechanism explaining the initial explosion of diversity. Although this type of niche filling can explain rates of diversification in some lineages, it is not sufficient for a radiation to occur. Instead of attributing the propensity to have an explosion of new species to external influences like niche availability, an alternative hypothesis can be based in frequency-dependent selection driven by the ecology in which organisms are embedded or endogenous sources mediated by gametes during fertilization. We show that genome diversification driven by higher reproductive probability of rare genotypes generates rapid initial speciation followed by a plateau with very low speciation rates, as shown by most empirical data.

  19. Book Announcements Next Article Bookmark and Share

    1. Language, Usage and Cognition, Cambridge University Press Next Article Bookmark and Share

      Summary:
      Language demonstrates structure while also showing considerable variation at all levels: languages differ from one another while still being shaped by the same principles; utterances within a language differ from one another while exhibiting the same structural patterns; languages change over time, but in fairly regular ways. This book focuses on the dynamic processes that create languages and give them their structure and variance. It outlines a theory of language that addresses the nature of grammar, taking into account its variance and gradience, and seeks explanation in terms of the recurrent processes that operate in language use. (...)

    2. Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences, Birkhäuser Boston Next Article Bookmark and Share

      Summary:
      Mathematical modeling using dynamical systems and partial differential equations is now playing an increasing role in the understanding of complex multi-scale phenomena. Behavior in seemingly different areas such as sociology, economics, and the life sciences can be described by closely related models. Systems made out of a large enough number of individual members can be said to exhibit a collective behavior, from which insight can be gathered in a way that real life experiments cannot. Topics presented point toward new and challenging frontiers of applied mathematics, making the volume a useful reference text for mathematicians, physicists, biologists, and economists. (...)

    3. Mathematical Foundations of Neuroscience, Springer Next Article Bookmark and Share

      Summary:
      This book is motivated by a perceived need for an overview of how dynamical systems and computational analysis have been used in understanding the types of models that come out of neuroscience. The book arose out of several courses that the authors have taught including a graduate course in computational neuroscience with students from psychology, mathematics, computer science, physics and neuroscience backgrounds. (...)

    4. Law, Economics, and Morality, Oxford University Press Next Article Bookmark and Share

      Summary:
      "Economists and moral philosophers have long been talking mostly at each other about vital issues of law and public policy. Enter Zamir and Medina, who elegantly integrate philosophical insight with the economists' rigor to create a unified discourse that promises to invigorate and deepen the academic discussion of law and policy in the years to come." Meir Dan-Cohen, Milo Reese Robbins Professor of Law, UC Berkeley School of Law
      • Source: Law, Economics, and Morality, Eyal Zamir, Barak Medina, Oxford University Press, 2010/06/01
      • Contributed by Anton Joha - antonjohaagmail.com

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. External bias in the model of isolation of communities, Julian Sienkiewicz, Grzegorz Siudem, Janusz A. Holyst, 2010/08/23, arXiv:1008.3911
      2. Secrets of Scents: Designing the Smells That Sell Household Products, 2010/08/24, ScienceDaily & American Chemical Society
      3. Math from the Heart: Simulating Stent Design and Coating, 2010/08/24, ScienceDaily & NIH/National Institute of General Medical Sciences
      4. No Laughing Matter: Laughter Can Play Key Role in Group Dynamics, 2010/08/24, ScienceDaily & North Carolina State University
      5. Freeze Or Run? Not That Simple: EMBL Scientists Discover Neural Switch That Controls Fear, 2010/08/25 ref_journal Innovations-report
      6. Half-A-Loaf Method Can Improve Magnetic Memories, 2010/08/25 ref_journal Innovations-report
      7. On the rule of k names, Barberá S, Coelho D, September 2010, Games and Economic Behavior 70 (1): 44-61, DOI: 10.1016/j.geb.2009.03.008
      8. Social games: Matching and the play of finitely repeated games, Jackson MO, Watts A, September 2010, Games and Economic Behavior 70 (1): 170-191, DOI: 10.1016/j.geb.2008.02.004
      9. The myth of the Folk Theorem, Borgs C, Chayes J, Immorlica N, Kalai AT, Mirrokni V, Papadimitriou C, September 2010, Games and Economic Behavior 70 (1): 34-43, DOI: 10.1016/j.geb.2009.04.016

    2. Event Announcements Next Article Bookmark and Share

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

    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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