Complexity Digest 2010.14

2010/07/02

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

For individual e-mail subscriptions go to Subscriptions.
Previous issue 2010.13 | Next issue 2010.15

Content

  1. Language networks: Their structure, function, and evolution, Complexity
  2. Robustness versus evolvability: a paradigm revisited, HFSP J.
  3. Rapid Transition towards the Division of Labor via Evolution of Developmental Plasticity, PLoS Comput Biol
  4. Human genome at ten: Science after the sequence, Nature
  5. The Seductive Allure of Behavioral Epigenetics, Science
  6. Chagas disease, Nature
  7. Co-Operative Punishment Cements Social Cohesion, JASSS
  8. Almost-anywhere theories: Reductionism and universality of emergence, Complexity
  9. The Network of Mexican Cities, arXiv
    1. Generalised network clustering and its dynamical implications, arXiv
  10. Evolutionary design of oscillatory genetic networks, Eur. Phys. J. B
    1. Signal-regulated systems and networks, Complexity
  11. Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model, JASSS
  12. When Does a Newcomer Contribute to a Better Performance? A Multi-Agent Study on Self-Organising Processes of Task Allocation, JASSS
  13. Closing in on evaders, Nature
  14. Is high-frequency trading inducing changes in market microstructure and dynamics?, arXiv
    1. Accounting for risk of non linear portfolios, Eur. Phys. J. B
  15. The shadow of the future affects cooperation in a cleaner fish, Current Biology
    1. Elimination mechanism promotes cooperation in coevolutionary prisoner’s dilemma games, Physica A
  16. Chaotic Red Queen coevolution in three-species food chains, Proc. R. Soc. B
  17. An Agent-Based Model of Collective Emotions in Online Communities, arXiv
  18. Triadic Conceptual Structure of the Maximum Entropy Approach to Evolution, arXiv
  19. Book Announcements
    1. Knowledge Diffusion and Innovation: Modelling Complex Entrepreneurial Behaviours, Edward Elgar Pub
    2. Complexity and the Nexus of Leadership: Leveraging Nonlinear Science to Create Ecologies of Innovation, Palgrave Macmillan
    3. Deep Complexity and the Social Sciences: Experience, Modelling and Operationality, Edward Elgar Pub
    4. The Predictioneer's Game: Using the Logic of Brazen Self-Interest to See and Shape the Future, Random House Trade Paperbacks
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. Language networks: Their structure, function, and evolution, Complexity Next Article Bookmark and Share

    Abstract: Human language is the key evolutionary innovation that makes humans different from other species. And yet, the fabric of language is tangled and all levels of description (from semantics to syntax) involve multiple layers of complexity. Recent work indicates that the global traits displayed by such levels can be analyzed in terms of networks of connected words. Here, we review the state of the art on language webs and their potential relevance to cognitive science. The emergence of syntax through language acquisition is used as a case study to illustrate how the approach can shed light into relevant questions concerning language organization and its evolution.

  2. Robustness versus evolvability: a paradigm revisited, HFSP J. Next Article Bookmark and Share

    Excerpt: Evolvability is the property of a biological system to quickly adapt to new requirements. Robustness seems to be the opposite. Nonetheless many biological systems display both properties"a puzzling observation, which has caused many debates over the last decades. A recently published model by Draghi et al. [Nature 463, 353"355 (2010)] elegantly circumvents complications of earlier in silico studies of molecular systems and provides an analytical solution, which is surprisingly independent from parameter choice. Depending on the mutation rate and the number of accessible phenotypes at any given genotype, evolvability and robustness can be reconciled. (...)

  3. Rapid Transition towards the Division of Labor via Evolution of Developmental Plasticity, PLoS Comput Biol Next Article Bookmark and Share

    Excerpt: Biological organisms are highly complex and are comprised of many different parts that function to ensure the survival and reproduction of the whole. How and why the complexity has increased in the course of evolution is a question of great scientific and philosophical significance. Biologists have identified a number of major transitions in the evolution of complexity including the origin of chromosomes, eukaryotes, sex, multicellular organisms, and social groups in insects. A crucial step in many of these transitions is the division of labor between components of the emerging higher-level evolutionary unit. How the division of labor was achieved in the face of selfishness of lower-level units is controversial.

  4. Human genome at ten: Science after the sequence, Nature Next Article Bookmark and Share

    Excerpt: Ten years on, the hoped-for revolution against human disease has not arrived " and Nature 's poll of more than 1,000 life scientists shows that most don't anticipate that it will for decades to come (...). What the sequence has brought about, however, is a revolution in biology. It has transformed the professional lives of scientists, inspiring them to tackle new biological problems and throwing up some acute new challenges along the way.

  5. The Seductive Allure of Behavioral Epigenetics, Science Next Article Bookmark and Share

    Excerpt: Some researchers speculate that if these rodent findings extend to humans, epigenetics could turn out to be at the heart of some of the most vexing problems in society. These ills include the long-term health problems of people raised in lower socioeconomic environments, the vicious cycle in which abused children grow up to be abusive parents, and the struggles of drug addicts trying to kick the habit.
    Tempting as such speculation may be, others worry that the young but fast-growing field of behavioral epigenetics is getting ahead of itself. They point out that so far there's very little evidence in humans that epigenetics connects early life experience to behavioral or health problems later in life.

  6. Chagas disease, Nature Next Article Bookmark and Share

    Excerpt: Chagas disease is arguably the archetypal neglected disease. Millions of people " the vast majority in Latin America " are infected, yet it is seldom discussed. It has struggled to achieve even a fraction of the notoriety of other neglected diseases, such as malaria. Its prevalence in immigrants to Spain, Portugal, the United States and other parts of the world has gone largely unnoticed. Even those who live in endemic areas are rarely aware of it. (...) Chagas disease lingers. In around one-third of those infected, the disease resurfaces in a chronic manifestation often decades after the acute stage, with devastating consequences.
    • Source: Chagas disease, Michelle Grayson, DOI: 10.1038/465S3a, Nature 465, S3, 2010/06/23

  7. Co-Operative Punishment Cements Social Cohesion, JASSS Next Article Bookmark and Share

    Excerpt: Most current attempts to explain the evolution"through individual selection"of pro-social behavior (i.e. behavior that favors the group) that allows for cohesive societies among non related individuals, focus on altruistic punishment as its evolutionary driving force. The main theoretical problem facing this line of research is that in the exercise of altruistic punishment the benefits of punishment are enjoyed collectively while its costs are borne individually. We propose that social cohesion might be achieved by a form of punishment, widely practiced among humans and animals forming bands and engaging in mob beatings, which we call co-operative punishment.

  8. Almost-anywhere theories: Reductionism and universality of emergence, Complexity Next Article Bookmark and Share

    Abstract: Here, we aim to show that reductionism and emergence play a complementary role in understanding natural processes and in the dynamics of science explanation. In particular, we will show that the renormalization group - one of the most refined tools of Theoretical Physics - allows to understand the importance of emergent processes' role in Nature identifying them as universal organization processes, that is, they are scale independent. We can use the syntaxes of Quantum Field Theory and the processes of Spontaneous Symmetry Breaking as a trans-disciplinary theoretical scenario for many other forms of complexity, especially the biological and cognitive ones.

  9. The Network of Mexican Cities, arXiv Next Article Bookmark and Share

    Abstract: The network of 5823 cities of Mexico with a population more than 5000 inhabitants is studied. Our analysis is focused to the spectral properties of the adjacency matrix, the small-world properties of the network, the distribution of the clustering coefficients and the degree distribution of the vertices. The connection of these features with the spread of epidemics on this network is also discussed.

    1. Generalised network clustering and its dynamical implications, arXiv Next Article Bookmark and Share

      Abstract: A parameterisation of generalised network clustering, in the form of four-motif prevalences, is presented. This involves three real parameters that are conditional on one- two- and three-motif prevalences. Interpretations of these real parameters are presented that motivate a set of rewiring schemes to create appropriately clustered networks. Finally, the dynamical implications of higher order structure, as parameterised, for a contact process are considered.

  10. Evolutionary design of oscillatory genetic networks, Eur. Phys. J. B Next Article Bookmark and Share

    Abstract: The present study is devoted to the design and statistical investigations of dynamical gene expression networks. In our model problem, we aim to design genetic networks which would exhibit stable periodic oscillations with a prescribed temporal period. While no rational solution of this problem is available, we show that it can be effectively solved by running a computer evolution of the network models. In this process, structural rewiring mutations are applied to the networks with inhibitory interactions between genes and the evolving networks are selected depending on whether, after a mutation, they closer approach the targeted dynamics. We show that, by using this method, networks with required oscillation periods, varying by up to three orders of magnitude, can be constructed by changing the architecture of regulatory connections between the genes. Statistical properties of designed networks, including motif distributions and Laplacian spectra, are considered.

    1. Signal-regulated systems and networks, Complexity Next Article Bookmark and Share

      Abstract: The article presents the use of signal regulatory networks (SRNs), a biologically inspired model based on gene regulatory networks. SRNs are a way of understanding a class of self-organizing IT systems, signal-regulated systems (SRSs). This article builds on the theory of SRSs and introduces some formalisms to clarify the discussion. An exemplar SRS that can be evaluated using SRNs is presented. Finally, an implementation of an adaptive and robust solution, built on a theory of SRSs and analyzed as a SRN, is shown to be plausible.

  11. Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model, JASSS Next Article Bookmark and Share

    Abstract: This paper investigates the relevance of reputation to improve the explorative capabilities of agents in uncertain environments. We have presented a laboratory experiment where sixty-four subjects were asked to take iterated economic investment decisions. An agent-based model based on their behavioural patterns replicated the experiment exactly. Exploring this experimentally grounded model, we studied the effects of various reputational mechanisms on explorative capabilities at a systemic level. The results showed that reputation mechanisms increase the agents' capability for coping with uncertain environments more than individualistic atomistic exploration strategies, although the former does entail a certain amount of false information inside the system.

  12. When Does a Newcomer Contribute to a Better Performance? A Multi-Agent Study on Self-Organising Processes of Task Allocation, JASSS Next Article Bookmark and Share

    Excerpt: This paper describes how a work group and a newcomer mutually adapt. We study two types of simulated groups that need an extra worker, one group because a former employee had left the group and one group because of its workload. For both groups, we test three conditions, newcomers being specialists, newcomers being generalists, and a control condition with no newcomer. We hypothesise that the group that needs an extra worker because of its workload will perform the best with a newcomer being a generalist. The group that needs an extra worker because a former employee had left the group, will perform better with a specialist newcomer. (...) Strictly spoken the results support our hypotheses although the differences between the groups with generalists and specialists are negligible. What really mattered was the possibility for a newcomer to fit in.

  13. Closing in on evaders, Nature Next Article Bookmark and Share

    Summary: A simple model highlights the pros and cons of chasing " and escaping " in groups. It shows that, for a given number of prey animals, an optimal number of predators exists that maximizes the success of the catch.

  14. Is high-frequency trading inducing changes in market microstructure and dynamics?, arXiv Next Article Bookmark and Share

    Abstract: Using high-frequency time series of stock prices and share volumes sizes from January 2002-May 2009, this paper investigates whether the effects of the onset of high-frequency trading, most prominent since 2005, are apparent in the dynamics of the dollar traded volume. Indeed it is found in almost all of 14 heavily traded stocks, that there has been an increase in the Hurst exponent of dollar traded volume from Gaussian noise in the earlier years to more self-similar dynamics in later years. This shift is linked both temporally to the Reg NMS reforms allowing high-frequency trading to flourish as well as to the declining average size of trades with smaller trades showing markedly higher degrees of self-similarity.

    1. Accounting for risk of non linear portfolios, Eur. Phys. J. B Next Article Bookmark and Share

      Abstract: The presence of non linear instruments is responsible for the emergence of non Gaussian features in the price changes distribution of realistic portfolios, even for Normally distributed risk factors. This is especially true for the benchmark Delta Gamma Normal model, which in general exhibits exponentially damped power law tails. We show how the knowledge of the model characteristic function leads to Fourier representations for two standard risk measures, the Value at Risk and the Expected Shortfall, and for their sensitivities with respect to the model parameters. We detail the numerical implementation of our formulae and we emphasize the reliability and efficiency of our results in comparison with Monte Carlo simulation.

  15. The shadow of the future affects cooperation in a cleaner fish, Current Biology Next Article Bookmark and Share

    Excerpt: [...] Humans also show the capacity to increase current levels of cooperation to account for future payoffs if it is likely that repeated interactions will occur with the same partner (known as ‘the Shadow of the Future’). Here, we provide the first evidence for this capacity in a non-human animal

    1. Elimination mechanism promotes cooperation in coevolutionary prisoner’s dilemma games, Physica A Next Article Bookmark and Share

      Excerpt: We propose an elimination mechanism in the study of the evolutionary prisoner’s dilemma games on evolving networks. It assumes that after each round of playing, players whose payoffs are below a certain threshold will be eliminated from the game and the same number of new nodes will be added to the network to maintain the size of the network constant. Numerical results show that moderate values of elimination threshold can result in a maximum cooperation level in the evolutionary prisoner’s dilemma game.

  16. Chaotic Red Queen coevolution in three-species food chains, Proc. R. Soc. B Next Article Bookmark and Share

    Excerpt: Coevolution between two antagonistic species follows the so-called ‘Red Queen dynamics’ when reciprocal selection results in an endless series of adaptation by one species and counteradaptation by the other. Mathematical models have shown that a prey and a predator can coevolve along a genetically driven Red Queen cycle. We found that embedding the prey-predator interaction into a three-species food chain that includes a coevolving superpredator often turns the genetically driven Red Queen cycle into chaos.

  17. An Agent-Based Model of Collective Emotions in Online Communities, arXiv Next Article Bookmark and Share

    Excerpt: We develop a agent-based framework to model the emergence of collective emotions, which is applied to online communities. Agents individual emotions are described by their valence and arousal. Using the concept of Brownian agents, these variables change according to a stochastic dynamics, which also considers the feedback from online communication. Agents generate emotional information, which is stored and distributed in a field modeling the online medium. (...)

  18. Triadic Conceptual Structure of the Maximum Entropy Approach to Evolution, arXiv Next Article Bookmark and Share

    Excerpt: Many problems in evolutionary theory are cast in dyadic terms, such as the polar oppositions of organism and environment. We argue that a triadic conceptual structure offers an alternative perspective under which the information generating role of evolution as a physical process can be analyzed, and propose a new diagrammatic approach. Peirce's natural philosophy was deeply influenced by his reception of both Darwin's theory and thermodynamics. Thus, we elaborate on a new synthesis which puts together his theory of signs and modern Maximum Entropy approaches to evolution. (...)

  19. Book Announcements Next Article Bookmark and Share

    1. Knowledge Diffusion and Innovation: Modelling Complex Entrepreneurial Behaviours, Edward Elgar Pub Next Article Bookmark and Share

      Summary:
      Modern economies are described as `knowledge based'. This book investigates the meaning of such a statement, assessing the relevance of knowledge and the channels through which knowledge is exchanged, both from a theoretical and an empirical perspective. Moving within the realm of complexity theory, the authors provide a methodological assessment of the knowledge diffusion debate as well as presenting theoretical and applied models of knowledge diffusion and innovation. They illustrate how geography plays a role in shaping innovative patterns and how dense networks generally result in more innovative environments. (...)

    2. Complexity and the Nexus of Leadership: Leveraging Nonlinear Science to Create Ecologies of Innovation, Palgrave Macmillan Next Article Bookmark and Share

      Summary:
      Using leadership to generate greater innovation, connectivity, and organizational transformation is crucial for success in this challenging era. The authors present here a new approach to leadership based on findings from complexity science. Integrating real case studies with rigorous research results, they explore the biggest challenges being faced in fast-paced organizations, and provide a host of concrete tools for leading during critical periods, catalyzing novelty, expanding networks, and generating transformative change throughout an organization.

    3. Deep Complexity and the Social Sciences: Experience, Modelling and Operationality, Edward Elgar Pub Next Article Bookmark and Share

      Summary:
      This unique book takes uncertainty and ignorance seriously and addresses them as instances of `deep complexity' (they cannot be grasped with the concepts/tools of classical science). Building on the works of Herbert Simon, Heinz von Foerster and John von Neumann, the author develops an alternative framework that encompasses, rather than rejects, the classical framework. The outcome of this novel approach is `effective deep complexity', comprising three aspects: an effective alternative framework, which brings an answer to a fundamental issue on the implications of uncertainty for scientific reasoning; a behavioural theory of deeply ill-structured problem-situations; and a decision-and-action support system.

    4. The Predictioneer's Game: Using the Logic of Brazen Self-Interest to See and Shape the Future, Random House Trade Paperbacks Next Article Bookmark and Share

      Summary:
      Bruce Bueno de Mesquita is a master of game theory, which is a fancy label for a simple idea: People compete, and they always do what they think is in their own best interest. Bueno de Mesquita uses game theory and its insights into human behavior to predict and even engineer political, financial, and personal events. His forecasts, which have been employed by everyone from the CIA to major business firms, have an amazing 90 percent accuracy rate, and in this dazzling and revelatory book he shares his startling methods. (...)

  20. Links & Snippets Next Article Bookmark and Share

    1. Other Publications Next Article Bookmark and Share

      1. Get the News Out Loudly and Quickly: Modeling the Influence of the Media on Limiting Infectious Disease Outbreaks, Anna Mummert and Howard Weiss, 2010/06/, arXiv:1006.5028
      2. Complex Networks and Symmetry: a Review with Applications to the Evolution of World Trade, Franco Ruzzenenti, Diego Garlaschelli, Riccardo Basosi, 2010/06/20, arXiv:1006.3923
      3. Leadership in Small Societies, Stephen Younger, 2010/06/30, JASSS 13(3)
      4. A Tag-Based Evolutionary Prisoner's Dilemma Game on Networks with Different Topologies, Jae-Woo Kim, 2010/06/30, JASSS 13(3)
      5. How to make dull cellular automata complex by adding memory: Rule 126 case study, Genaro J. Martínez, Andrew Adamatzky, Juan C. Seck-Tuoh-Mora, Ramon Alonso-Sanz, 2010/07, Complexity Volume 15 Issue 6, Pages 34 - 49, DOI: 10.1002/cplx.20311

    2. Event Announcements Next Article Bookmark and Share

      1. 9th IEEE International Conference on Cognitive Informatics (ICCI 2010), Beijing, China, 2010/07/7-9
      2. Genetic and Evolutionary Computation Conference (GECCO-2010), Portland, Oregon, USA, 2010/07/7-11
      3. The 2010 Advanced Geographical Analysis and Modeling Workshop, Neve Ilan, Israel, 2010/07/8-10
      4. New Frontiers in Complex Networks: A Statphys24 Satellite Meeting, Seoul, Korea, 2010/07/12-16
      5. The First Australasian Workshop on Computation in Cyber-Physical Systems (CompCPS-2010), Sydney, Australia, 2010/07/15-16
      6. 2010 World Congress on Computational Intelligence (IJCNN 2010, FUZZ-IEEE 2010, and IEEE CEC 2010), Barcelona, Spain, 10/07/18-23
      7. The 2010 International Conference on Informatics Cypernetics, and Computer Applications (ICICCA2010), Bangalore, India, 2010/07/19-21
      8. 1st International Workshop on Complexity and Real World Applications: Using the Tools and Concepts from the Complexity Sciences to Support Real World Decision-making Activities, Southampton, England, UK, 2010/07/21-23
      9. 2010 International Conference on the Business and Digital Enterprises (ICBDE 2010), Bangalore, India, 2010/07/22-24
      10. Dynamics Days South America, São José dos Campos, Brazil, 2010/07/26-30
      11. Hands-On Research in Complex Systems School, Buea, Cameroon, 2010/08/2-13
      12. 4th Annual French Complex Systems Summer School, Paris, France, 2010/08/02-20
      13. ADVANCED COURSE IN COMPUTATIONAL NEUROSCIENCE, 15th Edition, Freiburg, Germany, 2010/08/2-27
      14. Summer School “Achievements and applications of contemporary informatics, mathematics and physics” (AACIMP-2010), Kyiv, Ukraine, 2010/08/3-15
      15. 2010 IEEE-CIS / Surrey Summer School on Computational Intelligence - Theory and Industrial Applications , University of Surrey, Guildford, UK, 2010/08/9-13
      16. European Summer School in Logic, Language and Information (ESSLLI), Copenhagen, Denmark, 10/08/09-20
      17. Singularity Summit, San Francisco, CA, USA, 2010/08/14-15
      18. Systems Biology of Development, Ascona, Switzerland, 2010/08/16-20
      19. Amorphous Computing and Complex Biological Networks, University of Sheffield, UK, 2010/08/17-20
      20. Artificial Life XII (ALife XII), Odense, Denmark, 10/08/19--23.
      21. The Second IEEE International Conference on Social Computing (SocialCom-2010): Enabling Computing, Services and Intelligence for Social Life, Minneapolis, USA, 2010/08/20-22
      22. Second International Workshop SoNet-2010 "Social Networks: Computing and Mining.", Brno, Czech Republic, 2010/09/3-5
      23. Fourth International Conference on the Foundations of Information Science FIS 2010: Towards a New Science of Information, Beijing, China, 2010/09/20-23
      24. From animals to animats: the Eleventh International Conference on the Simulation of Adaptive Behavior (SAB'10), , Paris, France, 2010/08/24-28
      25. 2010 IEEE/WIC/ACM International Conference on Web Intelligence (WI-10), Toronto, Canada, 2010/08/31-09/03
      26. International Conference OPERATIONS RESEARCH "MASTERING COMPLEXITY", München, Germany, 2010/09/1-3
      27. SoNet-2010: SOCIAL NETWORKS: COMPUTING AND MINING, Brno, Czech Republic, 2010/09/3-5
      28. ANTS 2010, Seventh International Conference on Swarm Intelligence, Brussels, Belgium, 10/09/8-10
      29. 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Cardiff, UK, 2010/09/8-10
      30. Artificial Economics, Treviso, Italy, 2010/09/9-10
      31. PPSN 2010: 11th International Conference on Parallel Problem Solving From Nature, Krakow, Poland, 2010/09/11-15
      32. European Conference on Complex Systems, Lisbon, Portugal, 2010/09/13-17
      33. 12th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2010), New York City, USA, 2010/09/20-22
      34. CASoN 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, China, 2010/09/26"28
      35. Data driven dynamical networks, Les Houches, France, 2010/09/26-10/01
      36. SASO 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 2010/09/27-10/01
      37. Primer Congreso Mexicano de Ciencias de la Complejidad, Ciudad Universitaria, D.F., Mexico, 2010/10/4-6
      38. 2nd Workshop on Complex Networks CompleNet 2010, Rio de Janeiro, Brazil, 2010/10/13-15
      39. 1st International Conference on Bionics & Biomechanics, Venice, Italy, 2010/10/14-16
      40. Fifth National Conference on systems science, Fermo, Italy, 2010/10/16
      41. Business Complexity and the Global Leader Conference, Boston, Massachusetts, USA, 2010/10/17-20
      42. Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colorado, USA 2010/10/18-22
      43. 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
      44. International Workshop on Statistical Physics and Biology of Collective Motion, Dresden, Germany, 2010/11/8-12
      45. Science and Innovation Week 2010, Mexico City, Mexico, 2010/11/22-26
      46. JMS2010 Modeling and Simulation Symposium 2010, Mérida, Venezuela, 2010/11/24-26
      47. The 5th Int'l Conference on Bio-Inspired Models of Network, Information and Computing Systems, Boston, MA, USA, 2010/12/1-3
      48. 2010 International Congress on Computer Applications and Computational Science CACS 2010, Singapore, 2010/12/4-6
      49. IEEE/IFIP EUC 2010 (Embedded and ubiquitous computing), Hong Kong SAR, China, 2010/12/11-13
      50. SYNTHETIC BIOLOGY Bottom-up, Top-down and Cell-free approaches, Intellectual Property issues, Evry, France, 2010/12/15-16
      51. 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), Rome, Italy, 2011/01/28-30
      52. IWSOS 2011, Fifth International Workshop on Self-Organizing Systems , Karlsruhe, Germany, 2011/02/23-25
      53. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/19-22

    3. Webcast Announcements Next Article Bookmark and Share

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

      2. ASSYST Digital Library. Since 09/09

      3. Complex Systems Teleconferences. Since 09/09

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

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

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

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

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

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

      10. Reseau Nationale des Systemes Complexes , (in French), 2007
      11. World Economic Forum , Davos, Switzerland, 08/01/22-27
      12. TED Talks, TED Conferences LLC , since 2006
      13. Talking Robots: The PodCast on Robotics and AI, Ecole Polytechnique Federale de Lausanne, Switzerland, 06/11/03
      14. Potentials of Complexity Science for Business, Governments, and the Media 2006, Budapest, Hungary, 06/08/03-05
      15. 6th Intl Conf on Complex Systems (ICCS), Boston, MA, 06/06/25-30
      16. Artificial Life X, 10th Intl Conf on the Simulation and Synthesis of Living Systems, Bloomington, IN, USA. 2006/06/03-07
      17. 6th Understanding Complex Systems Symposium, Urbana-Champaign, Il, 06/05/15-18
      18. Ralph Abraham on Complexity Digest, , Calcutta, India, 05/12/27
      19. An Afternoon with Michael Crichton, Washington, 05/11/06
      20. Illuminating the Shadow of the Future, Ann Arbor, Mi 05/09/23-25
      21. Open Network of Centres of Excellence in Complex Systems - Brainstorming Meeting, Paris, France 05/09/19-23
      22. Complexity, Science & Society Conference 2005, U. Liverpool, UK 2005/09/11-14
      23. ECAL 2005 - VIIIth European Conference on Artificial Life, Canterbury, Kent, UK 2005/09/5-9
      24. T. Irene Sanders, Executive Director and Founder, The Washington Center for Complexity & Public Policy, 05/08/27, QuickTime video (10:38 min), Podcast
      25. North American Society for the Psychology of Sport and Physical Activity 2005 Conference, Virtual Conference Network, St. Pete's Beach, Florida, 05/06/09-11
      26. Understanding Complex Systems - Computational Complexity and Bioinformatics, Virtual Conference Network, Urbana-Champaign, Il, UIUC, 05/05/16-19
      27. Nonlinearity, Fluctuations, and Complexity, with a celebration of the 65th birthday of Gregoire Nicolis. , Complexity Session, Universite' Libre de Bruxelles, Brussels, Belgium, 05/03/16
      28. 1st European Conference on Complex Systems, Torino, Italy, 04/12/5-7
      29. From Autopoiesis to Neurophenomenology: A Tribute to Francisco Varela (1946-2001), Paris, France, 2004/06/18-20
      30. Evolutionary Epistemology, Language, and Culture, Brussels, Belgium, 04/05/26-28
      31. International Conference on Complex Systems 2004, Boston, 04/05/16-21
      32. Nonlinear Dynamics And Chaos: Lab Demonstrations, Strogatz, Steven H., Internet-First University Press, 1994
      33. CERN Webcast Service, Streamed videos of Archived Lectures and Live Events
      34. Dean LeBaron's Archive of Daily Video Commentary, Ongoing Since February 1998
      35. Edge Videos

    4. Other Announcements Bookmark and Share


Also available in: Simple HTML format | TXT format | TXT format with links | Print