Complexity Digest 2011.07

2011/04/08

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

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Previous issue 2011.06 | Next issue 2011.08

Content

  1. An Inquiry into History, Big History, and Metahistory, Cliodynamics
    1. Regularities in Human Affairs, Cliodynamics
    2. Toward Cliodynamics, Cliodynamics
    3. A Paleontological Look at History, Cliodynamics
    4. Complexity in Big History, Cliodynamics
  2. Tools for Thinking, NYTimes
  3. Social science: Web of war, Nature
  4. Propagation of Cascades in Complex Networks: From Supply Chains to Food Webs, arXiv
  5. Sebastian Thrun: Google's driverless car, TED.com
    1. Ralph Langner: Cracking Stuxnet, a 21st-century cyber weapon, TED.com
  6. Innovation as an Emerging System Property: An Agent Based Simulation Model, JASSS
  7. The World’s Technological Capacity to Store, Communicate, and Compute Information, Science
  8. A Simple Mechanism for Complex Social Behavior, PLoS Biol
  9. On religion and language evolutions seen through mathematical and agent based models, arXiv
  10. Urban road networks: spatial networks with universal geometric features?, Eur. Phys. J. B
  11. Information Theory and Population Genetics, arXiv
  12. The Roots of Bioinformatics in Theoretical Biology, PLoS Comput Biol
  13. Coping with Chaos: How Disordered Contexts Promote Stereotyping and Discrimination, Science
  14. Phase transitions in contagion processes mediated by recurrent mobility patterns, arXiv
    1. Natural human mobility patterns and spatial spread of infectious diseases, arXiv
    2. Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts, PLoS Comput Biol
  15. Extending Dynamical Systems Theory to Model Embodied Cognition, Cognitive Science
  16. Map-based models in neuronal dynamics, Physics Reports
  17. Information content of colored motifs in complex networks, arXiv
    1. The topological issues of cooperation, arXiv
  18. Noise Driven Evolutionary Waves, PLoS Comput Biol
    1. Random copying in space, arXiv
  19. Book Announcements
    1. Complex Webs: Anticipating the Improbable, Cambridge University Press
    2. Everything Is Obvious: *Once You Know the Answer, Crown Business
    3. The Most Human Human: What Talking with Computers Teaches Us About What It Means to Be Alive, Doubleday
    4. The Origins of Political Order: From Prehuman Times to the French Revolution, Farrar, Straus and Giroux
    5. The Fair Society: The Science of Human Nature and the Pursuit of Social Justice, University Of Chicago Press
    6. Gastronomy: A visual feast, Nature
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. An Inquiry into History, Big History, and Metahistory, Cliodynamics Next Article Bookmark and Share

    Excerpt: What is history anyway? Most people would say it’s what happened in the past, but how far back does the past extend? To the first written sources? To what other forms of evidence reveal about pre-literate civilizations? What does that term mean " an empire, a nation, a city, a village, a family, a lonely hermit somewhere? Why stop with people: shouldn’t history also comprise the environment in which they exist, and if so on what scale and how far back? And as long as we’re headed in that direction, why stop with the earth and the solar system? Why not go all the way back to the Big Bang itself?

    1. Regularities in Human Affairs, Cliodynamics Next Article Bookmark and Share

      Abstract: When we review the course of human history or the results of anthropological research we see a delicate interplay of regularity and randomness. This article discusses several regularities in human affairs, including approximate mathematical laws, such as the logistic equation, and semi-empirical regularities, such as a power law or a Guttman scale. The search for regularities in human history is becoming a trifle more respectable than it was formerly. That could well portend some significant improvement in our ability to discuss the human future.

    2. Toward Cliodynamics, Cliodynamics Next Article Bookmark and Share

      Abstract: This article responds to those who think that a science of history is in principle impossible. First, I tackle the issue of prediction and point out that it is not limited to forecasting the future. Scientific prediction is also (an much more usefully) employed in empirical tests of scientific theories. Next, I switch from conceptual to empirical issues, and review evidence for general empirical regularities. I also discuss some recent examples of using scientific prediction in testing theories about historical dynamics. I conlcude by pointing out that we now have the right quantitative tools and, even more important, a growing corpus of historical data for testing theories. An analytical, predictive history, or cliodynamics, is eminently possible.

    3. A Paleontological Look at History, Cliodynamics Next Article Bookmark and Share

      Abstract: The fossil record of animal life is far more incomplete and patchy than even the most obscure historical records. Consequently, some of the approaches developed by paleobiologists over the past couple of decades to assess the reliability of the fossil record, investigate patterns and infer underlying processes may be useful in analyzing historical data as well. Here I discuss two examples where paleontologists have investigated historical questions, in one case the evolution of cornets, in the second estimating the survival rate of Medieval manuscripts. Depending on the scope of big history, there are a number of areas where history and paleontology overlap, particularly in the investigation of early human history. More rigorous analysis of the biases of the historical record may be of some use in determining which historical patterns are sufficiently reliable for further exploration.

    4. Complexity in Big History, Cliodynamics Next Article Bookmark and Share

      Abstract: Big history can also be summarized as providing an overview of the rise and demise of complexity in all its forms and manifestations ever since the beginning of the universe. If we want to pursue this approach to big history, we need a theoretical framework that facilitates us to do so. In this article I propose such a scheme based on energy flows through matter that are needed for complexity to emerge, and often also to continue to exist, within certain favorable boundaries (“Goldilocks Circumstances”).

  2. Tools for Thinking, NYTimes Next Article Bookmark and Share

    Excerpt: We often try to understand problems by taking apart and studying their constituent parts. But emergent problems can’t be understood this way. Emergent systems are ones in which many different elements interact. The pattern of interaction then produces a new element that is greater than the sum of the parts, which then exercises a top-down influence on the constituent elements.
    Culture is an emergent system. A group of people establishes a pattern of interaction. And once that culture exists, it influences how the individuals in it behave. An economy is an emergent system. So is political polarization, rising health care costs and a bad marriage.
    See Also: The Edge Question 2011: WHAT SCIENTIFIC CONCEPT WOULD IMPROVE EVERYBODY'S COGNITIVE TOOLKIT?

  3. Social science: Web of war, Nature Next Article Bookmark and Share

    Excerpt: (...) Comer and other officials are placing their bets on a new generation of computer models that try to predict how groups behave, and how that behaviour can be changed. This work goes under a variety of names, including 'human dynamics' and 'computational social science'. It represents a melding of research fields from social-network analysis to political forecasting and complexity science.

  4. Propagation of Cascades in Complex Networks: From Supply Chains to Food Webs, arXiv Next Article Bookmark and Share

    Abstract: A general theory of top-down cascades in complex networks is described which explains two similar types of perturbation amplifications in the complex networks of business supply chains (the `bullwhip effect') and ecological food webs (trophic cascades). The dependence of the strength of the effects on the interaction strength and covariance in the dynamics as well as the graph structure allows both explanation and prediction of widely recognized effects in each type of system.

  5. Sebastian Thrun: Google's driverless car, TED.com Next Article Bookmark and Share

    About this talk: Sebastian Thrun helped build Google's amazing driverless car, powered by a very personal quest to save lives and reduce traffic accidents. Jawdropping video shows the DARPA Challenge-winning car motoring through busy city traffic with no one behind the wheel, and dramatic test drive footage from TED2011 demonstrates how fast the thing can really go.
    Editor's Note: Self-driving vehicles will not only increase safety and efficiency, but reduce even more the sense of owning a private automobile. It will be much easier to coordinate carsharing.

    1. Ralph Langner: Cracking Stuxnet, a 21st-century cyber weapon, TED.com Next Article Bookmark and Share

      About this talk: When first discovered in 2010, the Stuxnet computer worm posed a baffling puzzle. Beyond its unusually high level of sophistication loomed a more troubling mystery: its purpose. Ralph Langner and team helped crack the code that revealed this digital warhead's final target -- and its covert origins. In a fascinating look inside cyber-forensics, he explains how.

  6. Innovation as an Emerging System Property: An Agent Based Simulation Model, JASSS Next Article Bookmark and Share

    Excerpts: The paper elaborates the notion of innovation as an emerging property of complex system dynamics and presents an agent-based simulation model (ABM) of an economy where systemic knowledge interactions among heterogeneous agents are crucial for the recombinant generation of new technological knowledge and the introduction of innovations. (...) The results of the ABM suggest that the dissemination of knowledge favors the emergence of creative reactions and hence faster rates of introduction of technological innovations.

  7. The World’s Technological Capacity to Store, Communicate, and Compute Information, Science Next Article Bookmark and Share

    Excerpt: We estimated the world’s technological capacity to store, communicate, and compute information, tracking 60 analog and digital technologies during the period from 1986 to 2007. In 2007, humankind was able to store 2.9 * 10^20 optimally compressed bytes, communicate almost 2 * 10^21 bytes, and carry out 6.4 * 10^18 instructions per second on general-purpose computers. General-purpose computing capacity grew at an annual rate of 58%. The world’s capacity for bidirectional telecommunication grew at 28% per year, closely followed by the increase in globally stored information (23%).

  8. A Simple Mechanism for Complex Social Behavior, PLoS Biol Next Article Bookmark and Share

    Summary: Although the outcome of social interactions can appear complex and unpredictable, we find that simple rules governing social signals can account for and accurately predict diverse behaviors.

  9. On religion and language evolutions seen through mathematical and agent based models, arXiv Next Article Bookmark and Share

    Excerpt: Religions and languages are social variables, like age, sex, wealth or political opinions, to be studied like any other organizational parameter. In fact, religiosity is one of the most important sociological aspects of populations. Languages are also a characteristics of the human kind. New religions, new languages appear though others disappear. All religions and languages evolve when they adapt to the society developments. On the other hand, the number of adherents of a given religion, the number of persons speaking a language is not fixed. Several questions can be raised. E.g. from a macroscopic point of view : How many religions/languages exist at a given time? What is their distribution? What is their life time? How do they evolve?. From a microscopic view point: can one invent agent based models to describe macroscopic aspects? Does it exist simple evolution equations?

  10. Urban road networks: spatial networks with universal geometric features?, Eur. Phys. J. B Next Article Bookmark and Share

    Abstract: Urban road networks have distinct geometric properties that are partially determined by their (quasi-) two-dimensional structure. In this work, we study these properties for 20 of the largest German cities. We find that the small-scale geometry of all examined road networks is extremely similar. The object-size distributions of road segments and the resulting cellular structures are characterised by heavy tails. As a specific feature, a large degree of rectangularity is observed in all networks, with link angle distributions approximately described by stretched exponential functions. We present a rigorous statistical analysis of the main geometric characteristics and discuss their mutual interrelationships. Our results demonstrate the fundamental importance of cost-efficiency constraints for the time evolution of urban road networks.

  11. Information Theory and Population Genetics, arXiv Next Article Bookmark and Share

    Abstract: The key findings of classical population genetics are derived using a framework based on information theory using the entropies of the allele frequency distribution as a basis. The common results for drift, mutation, selection, and gene flow will be rewritten both in terms of information theoretic measurements and used to draw the classic conclusions for balance conditions and common features of one locus dynamics. Linkage disequilibrium will also be discussed including the relationship between mutual information and r^2 and a simple model of hitchhiking.

  12. The Roots of Bioinformatics in Theoretical Biology, PLoS Comput Biol Next Article Bookmark and Share

    Abstract: From the late 1980s onward, the term “bioinformatics” mostly has been used to refer to computational methods for comparative analysis of genome data. However, the term was originally more widely defined as the study of informatic processes in biotic systems. In this essay, I will trace this early history (from a personal point of view) and I will argue that the original meaning of the term is re-emerging.

  13. Coping with Chaos: How Disordered Contexts Promote Stereotyping and Discrimination, Science Next Article Bookmark and Share

    Excerpt: Being the victim of discrimination can have serious negative health- and quality-of-life"related consequences. Yet, could being discriminated against depend on such seemingly trivial matters as garbage on the streets? In this study, we show, in two field experiments, that disordered contexts (such as litter or a broken-up sidewalk and an abandoned bicycle) indeed promote stereotyping and discrimination in real-world situations (...)

  14. Phase transitions in contagion processes mediated by recurrent mobility patterns, arXiv Next Article Bookmark and Share

    Excerpt: Human mobility and activity patterns mediate contagion on many levels, including the spatial spread of infectious diseases, diffusion of rumors, and emergence of consensus. These patterns however are often dominated by specific locations and recurrent flows and poorly modeled by the random diffusive dynamics generally used to study them. Here we develop a theoretical framework to analyze contagion within a network of locations where individuals recall their geographic origins. We find a phase transition between a regime in which the contagion affects a large fraction of the system and one in which only a small fraction is affected.(...)

    1. Natural human mobility patterns and spatial spread of infectious diseases, arXiv Next Article Bookmark and Share

      Excerpt: We investigate a model for spatial epidemics explicitly taking into account bi-directional movements between base and destination locations on individual mobility networks. We provide a systematic analysis of generic dynamical features of the model on regular and complex metapopulation network topologies and show that significant dynamical differences exist to ordinary reaction-diffusion and effective force of infection models. (...)

    2. Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts, PLoS Comput Biol Next Article Bookmark and Share

      Excerpt: Human sexual contacts form a spatiotemporal network"the underlying structure over which sexually transmitted infections (STI) spread. By understanding the structure of this system we can better understand the dynamics of STIs. So far, there has been much focus on the static network structure of sexual contacts. In this paper, we extend this approach and also address temporal effects in a special type of sexual network"that of Internet-mediated prostitution.

  15. Extending Dynamical Systems Theory to Model Embodied Cognition, Cognitive Science Next Article Bookmark and Share

    Abstract: We define a mathematical formalism based on the concept of an ‘‘open dynamical system” and show how it can be used to model embodied cognition. This formalism extends classical dynamical systems theory by distinguishing a ‘‘total system’’ (which models an agent in an environment) and an ‘‘agent system’’ (which models an agent by itself), and it includes tools for analyzing the collections of overlapping paths that occur in an embedded agent's state space. To illustrate the way this formalism can be applied, several neural network models are embedded in a simple model environment. Such phenomena as masking, perceptual ambiguity, and priming are then observed. We also use this formalism to reinterpret examples from the embodiment literature, arguing that it provides for a more thorough analysis of the relevant phenomena.

  16. Map-based models in neuronal dynamics, Physics Reports Next Article Bookmark and Share

    Abstract: Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have consisted of ODEs representing the evolution of the transmembrane voltage and the dynamics of ionic conductances. It is only recently that discrete dynamical systems"also known as maps"have begun to receive attention as valid phenomenological neuron models. The present review tries to provide a coherent perspective of map-based biological neuron models, describing their dynamical properties; stressing the similarities and differences, both among them and in relation to continuous-time models; exploring their behavior in networks; and examining their wide-ranging possibilities of application in computational neuroscience.
    • Source: Map-based models in neuronal dynamics, B. Ibarz, , J.M. Casado, and M.A.F. Sanjuán, DOI: 10.1016/j.physrep.2010.12.003, Physics Reports Volume 501, Issues 1-2, Pages 1-74, 2011/04

  17. Information content of colored motifs in complex networks, arXiv Next Article Bookmark and Share

    Excerpt: We study complex networks in which the nodes of the network are tagged with different colors depending on the functionality of the nodes (colored graphs), using information theory applied to the distribution of motifs in such networks. We find that colored motifs can be viewed as the building blocks of the networks (much more so than the uncolored structural motifs can be) and that the relative frequency with which these motifs appear in the network can be used to define the information content of the network. This information is defined in such a way that a network with random coloration (but keeping the relative number of nodes with different colors the same) has zero color information content. Thus, colored motif information captures the exceptionality of coloring in the motifs that is maintained via selection. We study the motif information content of the C. elegans brain as well as the evolution of colored motif information in networks that reflect the interaction between instructions in genomes of digital life organisms. (...)

    1. The topological issues of cooperation, arXiv Next Article Bookmark and Share

      Excerpt: (...) In this work we test the dependence of the success of cooperation with the clustering coefficient of the network, for several different families of networks. We have found that this dependence is far from trivial. Additionally, for both stochastic and deterministic dynamics we have also found that there is a strong dependence on the initial composition of the population. This hints at the existence of several different mechanisms that could promote or hinder cluster expansion. We have studied in detail some of these mechanisms by concentrating on completely ordered networks (large clustering coefficient) or completely random networks (vanishing clustering coefficient).

  18. Noise Driven Evolutionary Waves, PLoS Comput Biol Next Article Bookmark and Share

    Excerpt: Mutations that increase an organism's fitness are the fuel for biological evolution. When such beneficial mutations enter a spatially extended population, they spread through the population in a “wave of advance”, first described by R. Fisher and A. Kolmogorov. The force driving these traveling waves is Darwinian selection, which favors individuals with higher fitness. Here, we describe a new type of traveling mutant wave that is driven by non-selective forces instead-- namely by random genetic drift, which refers to the randomness in the reproduction process. (...)

    1. Random copying in space, arXiv Next Article Bookmark and Share

      Abstract: Random copying is a simple model for population dynamics in the absence of selection, and has been applied to both biological and cultural evolution. In this work, we investigate the effect that spatial structure has on the dynamics. We focus in particular on how a measure of the diversity in the population changes over time. We show that even when the vast majority of a population's history may be well-described by a spatially-unstructured model, spatial structure may nevertheless affect the expected level of diversity seen at a local scale. We demonstrate this phenomenon explicitly by examining the random copying process on small-world networks, and use our results to comment on the use of simple random-copying models in an empirical context.

  19. Book Announcements Next Article Bookmark and Share

    1. Complex Webs: Anticipating the Improbable, Cambridge University Press Next Article Bookmark and Share

      Summary:
      Complex Webs synthesises modern mathematical developments with a broad range of complex network applications of interest to the engineer and system scientist, presenting the common principles, algorithms, and tools governing network behaviour, dynamics, and complexity. The authors investigate multiple mathematical approaches to inverse power laws and expose the myth of normal statistics to describe natural and man-made networks. Richly illustrated throughout with real-world examples including cell phone use, accessing the Internet, measures of health and disease, distribution of wealth, and many other familiar phenomena from physiology, bioengineering, biophysics, and informational and social networks, this book makes thought-provoking reading.

    2. Everything Is Obvious: *Once You Know the Answer, Crown Business Next Article Bookmark and Share

      Summary:
      As sociologist and network science pioneer Duncan Watts explains in this provocative book, the explanations that we give for the outcomes that we observe in life - explanation that seem obvious once we know the answer - are less useful than they seem. Drawing on the latest scientific research, along with a wealth of examples, Watts shows how common sense reasoning and history conspire to mislead us into believing that we understand more about the world of human behavior than we do; and in turn, why attempts to predict, manage, or manipulate social and economic systems so often go awry.

    3. The Most Human Human: What Talking with Computers Teaches Us About What It Means to Be Alive, Doubleday Next Article Bookmark and Share

      Summary:
      In this book, Christian documents his experience in the 2009 Turing Test, a competition in which judges engage in five-minute instant-message conversations with unidentified partners, and must then decide whether each interlocutor was a human or a machine. The program receiving the most "human" votes is dubbed the "most human computer," while the person receiving the most votes earns the title of "most human human". Through his quest, Christian investigates the nature of human interactions, the meaning of language, and the essence of what sets us apart from machines that can process information far faster than we can.

    4. The Origins of Political Order: From Prehuman Times to the French Revolution, Farrar, Straus and Giroux Next Article Bookmark and Share

      Summary:
      Political theorist Fukuyama presents nothing less than a unified theory of state formation, a comparative study of how tribally organized societies in various parts of the world and various moments in history have transformed into societies with political systems and institutions and, in some cases, political accountability. Drawing upon a diverse range of sources - sociobiology and anthropology as well as macroeconomics and legal history - and paying particular attention to political development in Asia, Fukuyama describes a somewhat evolutionary mechanism wherein political systems develop in response to certain societal conditions and become institutionalized because of their ability to adapt.

    5. The Fair Society: The Science of Human Nature and the Pursuit of Social Justice, University Of Chicago Press Next Article Bookmark and Share

      Summary:
      Drawing on the evidence from our evolutionary history and the emergent science of human nature, Corning shows that we have an innate sense of fairness. While these impulses can easily be subverted by greed and demagoguery, they can also be harnessed for good. Corning brings together the latest findings from the behavioral and biological sciences to help us understand how to move beyond the Madoffs and Enrons in our midst in order to lay the foundation for a new social contract. He proposes a set of economic and political reforms based on three principles of fairness: equality, equity, and reciprocity.

    6. Gastronomy: A visual feast, Nature Next Article Bookmark and Share

      Excerpt: It took me 40 minutes to unpack Modernist Cuisine: The Art and Science of Cooking . The 6-volume, 2,400-page set of books by culinary experimenters Nathan Myhrvold, Chris Young and Maxime Bilet weighs more than 20 kilograms and arrives wrapped in clean white paper and encased in a clear plastic box, from which each of the five main volumes can be retrieved: History and Fundamentals; Techniques and Equipment; Animals and Plants; Ingredients and Preparations; and Plated-Dish Recipes. The sixth volume, Kitchen Manual, is a simpler spiral-bound handbook intended for use in the kitchen, containing some 1,500 recipes referred to in the larger volumes.

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. Which Primates Recognize Themselves in Mirrors?, James R. Anderson, Gordon G. Gallup Jr, 2011/03/01, PLoS Biol 9(3): e1001024, DOI: 10.1371/journal.pbio.1001024
      2. Randomness and Multi-level Interactions in Biology, Marcello Buiatti, Giuseppe Longo, 2011/04/06, arXiv:1104.1110
      3. An integrated perspective on the relation between response speed and intelligence, Don van Ravenzwaaij, Scott Brown, Eric-Jan Wagenmakers, 2011/06, Cognition Volume 119, Issue 3, Pages 381-393, DOI: 10.1016/j.cognition.2011.02.002

    2. Event Announcements Next Article Bookmark and Share

      1. Elements, London, UK, 2011/04/08
      2. ImagineNano, Bilbao, Spain, 2011/04/11-14
      3. IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris, France, 2011/04/11-15
      4. EVOSTAR 2011, Torino, Italy, 2011/04/27-29
      5. Science Beyond Fiction: European Future Technologies Conference and Exhibition, Budapest, Hungary, 2011/05/4-6
      6. 1st European Conference of Microbiology and Immunology, Budapest, Hungary, 2011/05/12-14
      7. Advances in Applied Physics and Materials Science Congress, Antalya, Turkey, 2011/05/12-15
      8. Exploring Complexity in Science and Engineering from a Santa Fe Institute Perspective, Albuquerque, NM, USA, 2011/05/23-25
      9. Chaos, Complexity and Transport (CCT'11), Marseilles, France, 2011/05/23-27
      10. Workshop on Information and Decision in Social Networks, Cambridge, MA, USA, 2011/05/31-06/01
      11. IV International Biennial Symposium “Complexity 2011 " for a Sustainable Development”, Camagüey, Cuba, 2011/10/9-11
      12. 7th Annual International Conference on Computer Science and Information Systems, Athens, Greece, 2011/06/13-16
      13. NECSI Summer School on Complex Systems, Cambridge, MA, USA, 2011/06/13-24
      14. International Conference on Swarm Intelligence (ICSI 2011), Cergy, France, 2011/06/14-15
      15. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, 2011/06/20-25
      16. 10th International Conference of Sociocybernetics, Cracow, Poland, 2011/06/20-25
      17. International Conference on Complex Systems (ICCS 2011), Boston, MA, USA, 2011/06/26-07/01
      18. International Conference on Information Society (i-Society 2011), London, UK, 2011/06/27-29
      19. Origins 2011 ISSOL and Bioastronomy Joint International Conference, Montpellier, France, 2011/07/3-8
      20. The International Conference on High Performance Computing & Simulation (HPCS 2011), Istanbul, Turkey, 2011/07/4-8
      21. Lipari School on the Game Theoretic Approach to Computational Complex Systems, Lipari Island, Italy, 2011/07/9-16
      22. Applications of Self-Organization in Technology (Research Days 2011, Lakeside Labs), Klagenfurt, Austria, 2011/07/11-15
      23. GECCO 2011: Genetic and Evolutionary Computation Conference, Dublin, Ireland, 2011/07/12-16
      24. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/16-22
      25. The 10th International Conference on Artificial Immune Systems, Cambridge, UK, 2011/07/18-21
      26. 29th International Conference of the System Dynamics Society, Washington, DC, USA, 2011/07/24-28
      27. The 7th International Conference on Intelligent Environments - IE'11, Nottingham, UK, 2011/07/25-26
      28. Third International Workshop on nonlinear Dynamics and Synchronization -- INDS'11 Sixteenth International Symposium on Theoretical Electrical Engineering -- ISTET'11, Klagenfurt am Wörthersee, Austria, 2011/07/25-27
      29. International Workshop on Game Theory and Society: Models of Social Interaction in Sociological Research, Zurich, 2011/07/27-30
      30. Summer School Course: Emergence, Explanation and Complexity. Prof. Alan Baker, Aarhus, Denmark, 2011/08/1-26
      31. ECAL 11: European Conference on Artificial Life, Paris, France, 2011/08/8-12
      32. TAROS 2011: 12th Conference Towards Autonomous Robotic Systems, Sheffield, UK, 2011/08/31-09/02
      33. The 2011 International Conference on Adaptive & Intelligent Systems - ICAIS'11, Klagenfurt, Austria, 2011/09/06-08
      34. ICMC 2011 - 2nd International Conference on Morphological Computation, Venice, Italy, 2011/09/12-14
      35. European Conference on Complex Systems 2011, Vienna, Austria, 2011/09/12-16
      36. The 15th WOSC INTERNATIONAL CONGRESS on CYBERNETICS and SYSTEMS, Nanjing, China, 2011/09/15-18
      37. Interdisciplinary Symposium on Complex Systems, Halkidiki, Greece, 2011/09/19-25
      38. ICCCI 2011 3rd International Conference on Computational Collective Intelligence: Technologies and Applications, Gdynia, Poland, 2011/09/21-23
      39. World Conference on Marine Biodiversity, Aberdeen, Scotland, UK, 2011/09/26-30
      40. SSS 2011 - 13th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Shinagawa (Tokyo), Japan, 2011/10/4-7
      41. SCIENCE FOR THE ENVIRONMENT - ENVIRONMENT FOR SOCIETY, Aarhus, Denmark, 2011/10/5-6
      42. The Third International Conference on Social Informatics (SocInfo2011), Singapore, 2011/10/6-8
      43. EPIA2011 - 15th Portuguese Conference on Artificial Intelligence, Lisbon, Portugal, 2011/10/10-13
      44. XII Latin American Workshop on Nonlinear Phenomena (LAWNP-2011), San Luis Potosi, Mexico, 2011/10/10-15
      45. AMBIENT 2011: The First International Conference on Ambient Computing, Applications, Services and Technologies and SIMUL 2011: The Third International Conference on Advances in System Simulation, Barcelona, Spain, 2011/10/23-28
      46. 3rd International Joint Conference on Computational Intelligence, Paris, France, 2011/10/24-26
      47. VI Congreso Bienal Internacional Complejidad 2012, Havana, Cuba, 2012/01/10-13
      48. 38th International Conference on Current Trends in Theory and Practice of Computer Science, Špindlerův Mlýn, Czech Republic, 2012/01/21"27

    3. Webcast Announcements Next Article Bookmark and Share

      1. Lakeside Research Days 2010.
      2. Smarter Cities NYC. Posted on 2009/10/05
      3. ASSYST Digital Library. Since 09/09
      4. Complex Systems Teleconferences. Since 09/09
      5. Symmetry Festival 2009, Budapest, Hungary, 09/08/1-4.
      6. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, Switzerland, 09/06/8-12
      7. Memorial Service for Dr Gottfried Mayer, Founding Editor Complexity Digest, Taipei, Taiwan (1954-2009). Video [RM], 09/02/13
      8. Making Connections: In Memory and Celebration of the Life of Dr. Gottfried Mayer (1954-2009). Video [RM] [MPG], 09/02/13
      9. Eulogy for Gottfried Mayer by Dean LeBaron [WMV, 25 Mb], [RM, 10 Mb], 09/02/10
      10. Can Ants Solve Traffic Jams?, Danielle Parsons, Slatev.com, 08/07/22
      11. Reseau Nationale des Systemes Complexes , (in French), 2007
      12. World Economic Forum , Davos, Switzerland, 08/01/22-27
      13. TED Talks, TED Conferences LLC , since 2006
      14. Talking Robots: The PodCast on Robotics and AI, Ecole Polytechnique Federale de Lausanne, Switzerland, 06/11/03
      15. Potentials of Complexity Science for Business, Governments, and the Media 2006, Budapest, Hungary, 06/08/03-05
      16. 6th Intl Conf on Complex Systems (ICCS), Boston, MA, 06/06/25-30
      17. Artificial Life X, 10th Intl Conf on the Simulation and Synthesis of Living Systems, Bloomington, IN, USA. 2006/06/03-07
      18. 6th Understanding Complex Systems Symposium, Urbana-Champaign, Il, 06/05/15-18
      19. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      20. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      21. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      22. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      23. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      24. North American Society for the Psychology of Sport and Physical Activity 2005 Conference, Virtual Conference Network, St. Pete's Beach, Florida, 05/06/09-11
      25. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      26. Nonlinearity, Fluctuations, and Complexity, with a celebration of the 65th birthday of Gregoire Nicolis. , Complexity Session, Universite' Libre de Bruxelles, Brussels, Belgium, 05/03/16
      27. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      28. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      29. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      30. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      31. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      32. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      33. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      34. Edge Videos

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