Complexity Digest 2011.18

2011/09/16

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

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Content

  1. A Geometric Approach to Complexity, SFI Working Papers
  2. Visualizing Uncertainty About the Future, Science
  3. The evolution of overconfidence, Nature
  4. Heterogeneity, Correlations and Financial Contagion, SFI Working Papers
    1. Bankruptcy Cascades in Interbank Markets, SFI Working Papers
    2. Algorithmic trading to replace humans in the stock market, PhysOrg.com
  5. Lee Cronin: Making matter come alive, TED.com
    1. Edward Tenner: Unintended consequences, TED.com
    2. Yasheng Huang: Does democracy stifle economic growth?, TED.com
  6. Longitudinal evidence that fatherhood decreases testosterone in human males, PNAS
  7. Diversity Emerging: From Competitive Exclusion to Neutral Coexistence in Ecosystems, SFI Working Papers
  8. News mining might have predicted Arab Spring, News@Nature
    1. Foreign Policy and Complex Adaptive Systems: Exploring New Paradigms for Analysis and Action, SFI Working Papers
  9. Criteria for the Design and Evaluation of Cognitive Architectures, Cognitive Science
  10. Are opinions based on science: Modelling social response to scientific facts, arXiv
  11. Complex Systems and Archaeology, SFI Working Papers
  12. Deciphering Network Community Structure by Surprise, PLoS ONE
  13. Probability Collectives in Optimization, SFI Working Papers
  14. Evolvable Neuronal Paths: A Novel Basis for Information and Search in the Brain, PLoS ONE
  15. Spatial effects on species persistence and implications for biodiversity, arXiv
  16. Topological Phase Transition in a Network Model with Preferential Attachment and Node Removal, SFI Working Papers
  17. Merger dynamics in three-agent games, Eur. Phys. J. B
  18. Imitating emotions instead of strategies in spatial games elevates social welfare, arXiv
  19. Book Announcements
    1. Information and Living Systems: Philosophical and Scientific Perspectives, A Bradford Book
    2. Neuroscience in the Age of Complexity, Gazelle Distribution
    3. Psychoanalysis and Ecology at the Edge of Chaos: Complexity Theory, Deleuze|Guattari and Psychoanalysis for a Climate in Crisis, Routledge
    4. The Dyslexic Advantage: Unlocking the Hidden Potential of the Dyslexic Brain, Hudson Street Press
    5. Cosmic Numbers: The Numbers That Define Our Universe, Basic Books
    6. Network Biology: Methods and Applications, Humana Press
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. A Geometric Approach to Complexity, SFI Working Papers Next Article Bookmark and Share

    Abstract: We develop a geometric approach to complexity based on the principle that complexity requires interactions at different scales of description. Complex systems are more than the sum of their parts of any size, and not just more than the sum of their elements. Using information geometry, we therefore analyze the decomposition of a system in terms of an interaction hierarchy. In mathematical terms, we present a theory of complexity measures for finite random fields using the geometric framework of hierarchies of exponential families. Within our framework, previously proposed complexity measures find their natural place and gain a new interpretation.

  2. Visualizing Uncertainty About the Future, Science Next Article Bookmark and Share

    Abstract: We are all faced with uncertainty about the future, but we can get the measure of some uncertainties in terms of probabilities. Probabilities are notoriously difficult to communicate effectively to lay audiences, and in this review we examine current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics. Despite the burgeoning interest in infographics, there is limited experimental evidence on how different types of visualizations are processed and understood, although the effectiveness of some graphics clearly depends on the relative numeracy of an audience. Fortunately, it is increasingly easy to present data in the form of interactive visualizations and in multiple types of representation that can be adjusted to user needs and capabilities. Nonetheless, communicating deeper uncertainties resulting from incomplete or disputed knowledge"or from essential indeterminacy about the future"remains a challenge.

  3. The evolution of overconfidence, Nature Next Article Bookmark and Share

    Excerpts: Confidence is an essential ingredient of success in a wide range of domains ranging from job performance and mental health to sports, business and combat (…) Some authors have suggested that not just confidence but overconfidence"believing you are better than you are in reality"is advantageous (…) Here we present an evolutionary model showing that, counterintuitively, overconfidence maximizes individual fitness and populations tend to become overconfident, as long as benefits from contested resources are sufficiently large compared with the cost of competition. (…) The fact that overconfident populations are evolutionarily stable in a wide range of environments may help to explain why overconfidence remains prevalent today, even if it contributes to hubris, market bubbles, financial collapses, policy failures, disasters and costly wars (…)

  4. Heterogeneity, Correlations and Financial Contagion, SFI Working Papers Next Article Bookmark and Share

    Excerpts: We consider a model of contagion in financial networks (…), and we characterize the effect of a few features empirically observed in real networks on the stability of the system. (…) A power law distribution of balance sheet size is shown to induce an inefficient diversification that makes the system more prone to contagion events. A targeted policy aimed at reinforcing the stability of the biggest banks is shown to improve the stability of the system in the regime of high average degree. Finally, disassortative mixing, such as that observed in real banking networks, is shown to enhance the stability of the system.

    1. Bankruptcy Cascades in Interbank Markets, SFI Working Papers Next Article Bookmark and Share

      Abstract: In this paper, we study a credit network and, in particular, an interbank system in an agent-based model. To understand the relationship between business cycles and cascade of bankruptcies, we model a three-sector economy with goods, credit and interbank market. In the interbank market, the participating banks share the risk of bad debits, which may potentially spread one bank's crisis through the network of banks. Our agent-based model specifically sheds light on the correlation between the endogenous economic cycle and the trade-off between sharing risk and systemic risk. The purpose of the model is thus to determine whether the linear relationship proposed by Allen and Gale (2000) ceases to be valid during certain periods of the economic cycle.

    2. Algorithmic trading to replace humans in the stock market, PhysOrg.com Next Article Bookmark and Share

      Excerpt: The UK Government’s Foresight panel, led by Dame Clara Furse, has released a working paper that points out that algorithmic trading, or high frequency trading, will soon replace human decision making when it comes to the stock markets. Many countries have already begun replacing humans with one third of the UK trading going to computers and three-quarters of trading in the United States being computer generated.

  5. Lee Cronin: Making matter come alive, TED.com Next Article Bookmark and Share

    About this talk: Before life existed on Earth, there was just matter, inorganic dead "stuff." How improbable is it that life arose? And -- could it use a different type of chemistry? Using an elegant definition of life (anything that can evolve), chemist Lee Cronin is exploring this question by attempting to create a fully inorganic cell using a "Lego kit" of inorganic molecules -- no carbon -- that can assemble, replicate and compete.

    1. Edward Tenner: Unintended consequences, TED.com Next Article Bookmark and Share

      About this talk: Every new invention changes the world -- in ways both intentional and unexpected. Historian Edward Tenner tells stories that illustrate the under-appreciated gap between our ability to innovate and our ability to foresee the consequences.

    2. Yasheng Huang: Does democracy stifle economic growth?, TED.com Next Article Bookmark and Share

      About this talk: Economist Yasheng Huang compares China to India, and asks how China's authoritarian rule contributed to its astonishing economic growth -- leading to a big question: Is democracy actually holding India back? Huang's answer may surprise you.

  6. Longitudinal evidence that fatherhood decreases testosterone in human males, PNAS Next Article Bookmark and Share

    Excerpt: In species in which males care for young, testosterone (T) is often high during mating periods but then declines to allow for caregiving of resulting offspring. This model may apply to human males, but past human studies of T and fatherhood have been cross-sectional, making it unclear whether fatherhood suppresses T or if men with lower T are more likely to become fathers. Here, we use a large representative study in the Philippines (n = 624) to show that among single nonfathers at baseline (2005) (21.5 ± 0.3 y), men with high waking T were more likely to become partnered fathers by the time of follow-up 4.5 y later (P < 0.05). Men who became partnered fathers then experienced large declines in waking (median: '26%) and evening (median: '34%) T, which were significantly greater than declines in single nonfathers (P < 0.001). (…)

  7. Diversity Emerging: From Competitive Exclusion to Neutral Coexistence in Ecosystems, SFI Working Papers Next Article Bookmark and Share

    Abstract: This article concerns “blackbox optimization” algorithms in which one iterates the following procedure: Choose a value x 2 X, getting statistical information about an associated value G(x), then use the set of all pairs f(x;G(x))g found so far to choose a next x value at which to sample G, the goal being to find x’s with as small G(x) as possible, and to do so as fast as possible. Examples of conventional blackbox optimization algorithms are genetic algorithms, simulated annealing, etc. These conventional algorithms work directly with values x, stochastically mapping the set f(x;G(x))g to the next x. The distribution over new x’s that gets sampled is never explicitly optimized. In contrast, in the Probability Collectives (PC) approach, one explicitly uses the set f(x;G(x))g to optimize the probability distribution over x that will be sampled. This article reviews some of the work that has been done on Probability Collectives, in particular presenting some of the many experiments that have demonstrated its power.

  8. News mining might have predicted Arab Spring, News@Nature Next Article Bookmark and Share

    Excerpt: You could have foreseen the Arab Spring if only you'd been paying enough attention to the news. That's the claim of a new study that shows how data mining of news reportage can reveal the possibility of future crises well before they happen.

    1. Foreign Policy and Complex Adaptive Systems: Exploring New Paradigms for Analysis and Action, SFI Working Papers Next Article Bookmark and Share

      Excerpt: As evidenced by the recent events in North Africa and the Middle East, and the almost daily changing terrain in Afghanistan and Pakistan, there are few certainties in foreign policy. From political turmoil to climate change to natural resource scarcity to food crises, we are today facing unprecedented global challenges which carry with them dramatic risks and vulnerabilities for developed and developing countries alike. In this article we present a number of ideas that are emerging from what we see as a quiet revolution in complexity thinking across the foreign policy apparatus. (…)

  9. Criteria for the Design and Evaluation of Cognitive Architectures, Cognitive Science Next Article Bookmark and Share

    Abstract: Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual cognitive scientists and organizing groups of like-minded cognitive scientists into genuine communities. (b) Successful architectures provide idioms that structure the design and interpretation of computational models. (c) Successful architectures are strange: They make provocative, often disturbing, and ultimately compelling claims about human information processing that demand evaluation.

  10. Are opinions based on science: Modelling social response to scientific facts, arXiv Next Article Bookmark and Share

    Excerpt: In this paper we shall investigate the dynamical development of opinion in a population of agents by using a computational model of opinion formation in a co-evolving or adaptive network of socially linked agents. The personal and external effects are taken into account by assigning an individual attitude parameter to each agent and by subjecting all to an external but homogeneous field to mimic the effect of mass media. We relate the findings of the model study to actual data on scientific perception surveys carried out in two different populations. Quite peculiarly we find that scientifically sound concepts are more difficult to acquire than concepts not validated by science, since opposing individuals organize themselves in close communities that prevent opinion consensus.

  11. Complex Systems and Archaeology, SFI Working Papers Next Article Bookmark and Share

    Abstract: Processual archaeologists began employing some of the vocabulary now current in complexity studies in the 1960s and 1970s, inspired by cybernetics, general systems theory, and contemporary quantitative approaches in ecology and geography. Kent Flannery and David Clarke played especially notable roles in moving archaeology towards complexity approaches. Current and recent archaeological approaches to central concepts of complexity"emergence, self-organization, and innovation"are reviewed. Methodologically, archaeologists interested in complexity applications have usually gravitated towards scaling studies, agent-based modeling, or analysis and simulation of networks. A great need for innovative approaches to pattern recognition in archaeology remains to be filled.

  12. Deciphering Network Community Structure by Surprise, PLoS ONE Next Article Bookmark and Share

    Excerpt: Here, using both standard and novel benchmarks, we show that maximization of a simple global parameter, which we call Surprise (S), leads to a very efficient characterization of the community structure of complex synthetic networks.

  13. Probability Collectives in Optimization, SFI Working Papers Next Article Bookmark and Share

    Abstract: This article concerns “blackbox optimization” algorithms in which one iterates the following procedure: Choose a value x 2 X, getting statistical information about an associated value G(x), then use the set of all pairs f(x;G(x))g found so far to choose a next x value at which to sample G, the goal being to find x’s with as small G(x) as possible, and to do so as fast as possible. Examples of conventional blackbox optimization algorithms are genetic algorithms, simulated annealing, etc. These conventional algorithms work directly with values x, stochastically mapping the set f(x;G(x))g to the next x. The distribution over new x’s that gets sampled is never explicitly optimized. In contrast, in the Probability Collectives (PC) approach, one explicitly uses the set f(x;G(x))g to optimize the probability distribution over x that will be sampled. This article reviews some of the work that has been done on Probability Collectives, in particular presenting some of the many experiments that have demonstrated its power.

  14. Evolvable Neuronal Paths: A Novel Basis for Information and Search in the Brain, PLoS ONE Next Article Bookmark and Share

    Excerpt: We propose a previously unrecognized kind of informational entity in the brain that is capable of acting as the basis for unlimited hereditary variation in neuronal networks. This unit is a path of activity through a network of neurons, analogous to a path taken through a hidden Markov model. (...)

  15. Spatial effects on species persistence and implications for biodiversity, arXiv Next Article Bookmark and Share

    Excerpt: Natural ecosystems are characterized by striking diversity of form and functions and yet exhibit deep symmetries emerging across scales of space, time and organizational complexity. Species-area relationships and species-abundance distributions are examples of emerging patterns irrespective of the details of the underlying ecosystem functions. Here we present empirical and theoretical evidence for a new macroecological pattern related to the distributions of local species persistence times, defined as the timespans between local colonizations and extinctions in a given geographic region.

  16. Topological Phase Transition in a Network Model with Preferential Attachment and Node Removal, SFI Working Papers Next Article Bookmark and Share

    Abstract: Preferential attachment is a popular model of growing networks. We consider a generalized model with random node removal, and a combination of preferential and random attachment. Using a high-degree expansion of the master equation, we identify a topological phase transition depending on the rate of node removal and the relative strength of preferential vs. random attachment, where the degree distribution goes from a power law to one with an exponential tail.

  17. Merger dynamics in three-agent games, Eur. Phys. J. B Next Article Bookmark and Share

    Abstract: We present the effect of mergers, a term which we use to mean a temporary alliance, in the dynamics of the three-agent model studied by Ben-Naim, Kahng and Kim and by Rador and Mungan. Mergers are possible in three-agent games because two agents can combine forces against the third player and thus increase their probability to win a competition. We implement mergers in this three-agent model via resolving merger and no-merger units of competition in terms of a two-agent unit. This way one needs only a single parameter which we have called the competitiveness parameter. We have presented an analytical solution in the fully competitive limit. In this limit the score distribution of agents is stratified and self-similar.

  18. Imitating emotions instead of strategies in spatial games elevates social welfare, arXiv Next Article Bookmark and Share

    Abstract: The success of imitation as an evolutionary driving force in spatial games has often been questioned, especially for social dilemmas such as the snowdrift game, where the most profitable may be the mixed phase sustaining both the cooperative as well as the defective strategy. Here we reexamine this assumption by investigating the evolution of cooperation in spatial social dilemma games, where instead of pure strategies players can adopt emotional profiles of their neighbors. For simplicity, the emotional profile of each player is determined by two pivotal factors only, namely how it behaves towards less and how towards more successful neighbors. We find that imitating emotions such as goodwill and envy instead of pure strategies from the more successful players reestablishes imitation as a tour de force for resolving social dilemmas on structured populations without any additional assumptions or strategic complexity.

  19. Book Announcements Next Article Bookmark and Share

    1. Information and Living Systems: Philosophical and Scientific Perspectives, A Bradford Book Next Article Bookmark and Share

      Summary:
      Terzis and Arp have brought together an international array of experimental and theoretical scientists, philosophers, and cognitive scientists to explore the most consequential notion in modern biology, information. The notion is indispensable to molecular biology, and yet we have no idea how seriously we need to take it in that domain. The role of information is equally central to the origin and maintenance of life in a Second Law-driven world that destroys order. And the naturalization of information is the only bridge that can be crossed from cognitive psychology to neuroscience. (...)

    2. Neuroscience in the Age of Complexity, Gazelle Distribution Next Article Bookmark and Share

      Summary:
      Neuroscience is the scientific study of the nervous system. Traditionally, neuroscience has been seen as a branch of biology. Nevertheless, it is currently an interdisciplinary science that involves other disciplines such as psychology, computer science, mathematics, physics, philosophy, and medicine. As a result, the scope of neuroscience has broadened to include different approaches used to study the molecular, developmental, structural, functional, evolutionary, computational, and medical aspects of the nervous system. This book discusses and presents research on a number of topics in the field of neuroscience, including mind force theory; neural resonance; circle mapping and epileptiform activity in neuronal networks.

    3. Psychoanalysis and Ecology at the Edge of Chaos: Complexity Theory, Deleuze|Guattari and Psychoanalysis for a Climate in Crisis, Routledge Next Article Bookmark and Share

      Summary:
      Yet despite being essential to studying environmentalism and its discontents, psychoanalysis still remains largely a 'psychology without ecology.' The philosophy of Deleuze and Guattari, combined with new developments in the sciences of complexity, help us to build upon the best of these perspectives, providing a framework able to integrate Guattari's 'three ecologies' of mind, nature and society. This book thus constitutes a timely attempt to contribute towards a critical dialogue between psychoanalysis and ecology.

    4. The Dyslexic Advantage: Unlocking the Hidden Potential of the Dyslexic Brain, Hudson Street Press Next Article Bookmark and Share

      Summary:
      In this paradigm-shifting book, two neurolearning experts describe an exciting new brain science that reveals that people with dyslexia have unique brain structure and organization. While the differences are responsible for certain challenges with literacy and reading, the dyslexic brain also gives a predisposition to important skills, and special talents. While dyslexics typically struggle to decode the written word, they often also excel in such areas of reasoning as mechanical (required for architects and surgeons), interconnected (artists and inventors); narrative (novelists and lawyers), and dynamic (scientists and business pioneers). The Dyslexic Advantage provides the first complete portrait of dyslexia.

    5. Cosmic Numbers: The Numbers That Define Our Universe, Basic Books Next Article Bookmark and Share

      Summary:
      In Cosmic Numbers, mathematics professor James D. Stein traces the discovery, evolution, and interrelationships of the numbers that define our world. Everyone knows about the speed of light and absolute zero, but numbers like Boltzmann's constant and the Chandrasekhar limit are not as well known, and they do far more than one might imagine: They tell us how this world began and what the future holds. Much more than a gee-whiz collection of facts and figures, Cosmic Numbers illuminates why particular numbers are so important-both to the scientist and to the rest of us.

    6. Network Biology: Methods and Applications, Humana Press Next Article Bookmark and Share

      Summary:
      While extremely large datasets describing gene sequences, mRNA transcripts, protein abundance, and metabolite concentrations are increasingly commonplace, these represent only starting parts lists' that are usually insufficient to unlock mechanistic insights on their own right. Fortunately, as this book examines, concepts emerging from the study of biological entities such as networks suggest that order rather than chaos prevails, with such principles as modular and hierarchical organization, reactive information-driven causal-response behaviours, systems robustness, co-evolution, and self-organization guiding the way. (...)

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. The Causes of Epistasis in Genetic Networks, Javier Macía, Ricard V. Solé, Santiago F. Elena, SFI Working Papers, DOI: SFI-WP 11-07-027
      2. Exact dynamical state of the exclusive queueing process with deterministic hopping, Chikashi Arita, Andreas Schadschneider, 2011/09/02, arXiv:1109.0425
      3. Dissolution of traffic jam via additional local interactions, Hyun Keun Lee and Beom Jun Kim, 2011/09/10, arXiv:1109.2191

    2. Event Announcements Next Article Bookmark and Share

      1. Interdisciplinary Symposium on Complex Systems, Halkidiki, Greece, 2011/09/19-25
      2. ICCCI 2011 3rd International Conference on Computational Collective Intelligence: Technologies and Applications, Gdynia, Poland, 2011/09/21-23
      3. World Conference on Marine Biodiversity, Aberdeen, Scotland, UK, 2011/09/26-30
      4. SCIENCE FOR THE ENVIRONMENT - ENVIRONMENT FOR SOCIETY, Aarhus, Denmark, 2011/10/5-6
      5. The Third International Conference on Social Informatics (SocInfo2011), Singapore, 2011/10/6-8
      6. SSS 2011 - 13th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Grenoble, France, 2011/10/10-12
      7. EPIA2011 - 15th Portuguese Conference on Artificial Intelligence, Lisbon, Portugal, 2011/10/10-13
      8. XII Latin American Workshop on Nonlinear Phenomena (LAWNP-2011), San Luis Potosi, Mexico, 2011/10/10-15
      9. Complexity in Business Conference, Washington, DC, USA, 2011/10/14
      10. 2nd International Business Complexity & the Global Leader Conference, Boston, MA, USA, 2011/10/17-19
      11. Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011), Salamanca, Spain, 2011/10/19-21
      12. 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
      13. 3rd International Joint Conference on Computational Intelligence, Paris, France, 2011/10/24-26
      14. Second Australasian Workshop on Computation in Cyber-Physical Systems (CompCPS-2011), Sydney, Australia, 2011/10/28
      15. Complex Adaptive Systems: Energy, Information, and Intelligence, AAAI Fall Symposium; Arlington, VA, 2011/11/4-6
      16. Workshop on Complex Systems as Computing Models (WCSCM2011), Mexico City, Mexico, 2011/11/9-10
      17. VI Congreso Bienal Internacional Complejidad 2012, Havana, Cuba, 2012/01/10-13
      18. 38th International Conference on Current Trends in Theory and Practice of Computer Science, Špindlerův Mlýn, Czech Republic, 2012/01/21"27
      19. 4th International Conference on Agents and Artificial Intelligence - ICAART 2012, Vilamoura, Algarve, Portugal, 2012/02/6-8
      20. evostar - the main european events on evolutionary computation eurogp, evocop, evobio, evomusart and evoapplications, Málaga, Spain, 2012/03/11-13
      21. IWSOS'12 (Sixth International Workshop on Self-Organizing Systems), Delft, The Netherlands, 2012/03/15-16
      22. Collective Intelligence 2012, Cambridge, MA, USA, 2012/04/18-20
      23. ALife XIII: The Thirteenth International Conference on the Simulation and Synthesis of Living Systems, Lansig, Michigan, USA, 2012/08/19-22

    3. Webcast Announcements Next Article Bookmark and Share

      1. FuturICT videos, ongoing.
      2. IFISC@uib.es seminars, ongoing.
      3. Complex Systems: The Challenge of Prediction, Yaneer Bar-Yam, NECSI and MIT/ESD Seminar, 2011/04/08
      4. Lakeside Research Days 2010.
      5. Smarter Cities NYC. Posted on 2009/10/05
      6. ASSYST Digital Library. Since 09/09
      7. Complex Systems Teleconferences. Since 09/09
      8. Symmetry Festival 2009, Budapest, Hungary, 09/08/1-4.
      9. International Workshop on Coping with Crises in Complex Socio-Economic Systems, Zurich, Switzerland, 09/06/8-12
      10. Memorial Service for Dr Gottfried Mayer, Founding Editor Complexity Digest, Taipei, Taiwan (1954-2009). Video [RM], 09/02/13
      11. Making Connections: In Memory and Celebration of the Life of Dr. Gottfried Mayer (1954-2009). Video [RM] [MPG], 09/02/13
      12. Eulogy for Gottfried Mayer by Dean LeBaron [WMV, 25 Mb], [RM, 10 Mb], 09/02/10
      13. Can Ants Solve Traffic Jams?, Danielle Parsons, Slatev.com, 08/07/22
      14. Reseau Nationale des Systemes Complexes , (in French), 2007
      15. World Economic Forum , Davos, Switzerland, 08/01/22-27
      16. TED Talks, TED Conferences LLC , since 2006
      17. Talking Robots: The PodCast on Robotics and AI, Ecole Polytechnique Federale de Lausanne, Switzerland, 06/11/03
      18. Potentials of Complexity Science for Business, Governments, and the Media 2006, Budapest, Hungary, 06/08/03-05
      19. 6th Intl Conf on Complex Systems (ICCS), Boston, MA, 06/06/25-30
      20. Artificial Life X, 10th Intl Conf on the Simulation and Synthesis of Living Systems, Bloomington, IN, USA. 2006/06/03-07
      21. 6th Understanding Complex Systems Symposium, Urbana-Champaign, Il, 06/05/15-18
      22. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      23. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      24. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      25. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      26. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      27. 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
      28. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      29. 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
      30. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      31. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      32. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      33. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      34. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      35. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      36. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      37. Edge Videos

    4. Other Announcements Bookmark and Share


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