Complexity Digest 2010.20

   2010/09/24

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

  1. Atlas of Science: Visualizing What We Know, MIT Press
  2. Complex systems: Foreseeing tipping points, Nature
    1. Early warning signals of extinction in deteriorating environments, Nature
  3. Education: Ten weeks to save the world, Nature
    1. Solutions beyond systems analysis, Nature
  4. To tame traffic, go with the flow, Science News
    1. Self-Stabilizing Decentralized Signal Control of Realistic, Saturated Network Traffic, SFI Working Papers
  5. Nicholas Christakis: How social networks predict epidemics, TED.com
    1. Steven Johnson: Where good ideas come from, TED.com
  6. Information Driven Self-Organization: The Dynamical System Approach to Autonomous Robot Behavior, SFI Working Papers
  7. Stephen Hawking’s grand theory of what?, The National
  8. Social organization in a flatworm: trematode parasites form soldier and reproductive castes, Proc. R. Soc. B
  9. Peer-Review in a World with Rational Scientists: Toward Selection of the Average, SFI Working Papers
  10. Problem solving techniques in cognitive science, AI Rev
  11. Line graphs of weighted networks for overlapping communities, Eur. Phys. J. B
  12. Selfishness versus functional cooperation in a stochastic protocell model, Journal of Theoretical Biology
  13. Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation, Science
  14. The Ecological Significance of Tool Use in New Caledonian Crows, Science
  15. Adaptive network models of swarm dynamics, arXiv
  16. Evolution towards oscillation or stability in a predator-prey system, Proc. R. Soc. B
  17. Complex networks derived from cellular automata, arXiv
  18. Mexico's Drug War: The Battle to Remain Safe, Low-cost and Competitive, Knowledge@Wharton
  19. Book Announcements
    1. Your Career Game: How Game Theory Can Help You Achieve Your Professional Goals, Stanford Business Books
    2. Dynamics of Machinery: Theory and Applications, Springer
    3. Evolutionary Genomics and Systems Biology, Wiley-Blackwell
    4. Econophysics and Companies: Statistical Life and Death in Complex Business Networks, Cambridge University Press
    5. Nonlinear Models for Economic Decision Processes, Imperial College Press
  20. Links & Snippets
    1. Other Publications
    2. Event Announcements
    3. Webcast Announcements
    4. Other Announcements

  1. Atlas of Science: Visualizing What We Know, MIT Press Bookmark and Share

    Excerpt:
    Cartographic maps have guided our explorations for centuries, allowing us to navigate the world. Science maps have the potential to guide our search for knowledge in the same way, helping us navigate, understand, and communicate the dynamic and changing structure of science and technology. Allowing us to visualize scientific results, science maps help us make sense of the avalanche of data generated by scientific research today. Atlas of Science, features more than thirty full-page science maps, fifty data charts, a timeline of science-mapping milestones, and 500 color images; it serves as a sumptuous visual index to the evolution of modern science and as an introduction to "the science of science""charting the trajectory from scientific concept to published results.
    • Source: Atlas of Science: Visualizing What We Know
      [ http://www.amazon.com/gp/product/0262014459?ie=UTF8&tag=complexes-20&linkCode=as2&camp=1789&creative=390957&creativeASIN=0262014459 ], Katy Börner, MIT Press, 2010/10/31

  2. Complex systems: Foreseeing tipping points, Nature Bookmark and Share

    Excerpt: Drake and Griffen show that subtle changes in the pattern of fluctuations in a population can indicate whether that population is close to extinction. This is a step forward for conservation biology, but the wider implications are even more profound. The symptoms detected belong to a family of generic leading indicators that may help to determine whether a complex system is on the brink of collapse.
    • Source: Complex systems: Foreseeing tipping points
      [ http://dx.doi.org/10.1038/467411a ], Marten Scheffer, DOI: 10.1038/467411a, Nature 467, 411"412, 2010/09/23

    1. Early warning signals of extinction in deteriorating environments, Nature Bookmark and Share

      Excerpt: Although understanding the causes of population extinction has been a central problem in theoretical biology for decades, the ability to anticipate extinction has remained elusive. Here we argue that the causes of a population’s decline are central to the predictability of its extinction. Specifically, environmental degradation may cause a tipping point in population dynamics, corresponding to a bifurcation in the underlying population growth equations, beyond which decline to extinction is almost certain.
      • Source: Early warning signals of extinction in deteriorating environments
        [ http://dx.doi.org/10.1038/nature09389 ], John M. Drake & Blaine D. Griffen, DOI: 10.1038/nature09389, Nature 467 , 456"459, 2010/09/23

  3. Education: Ten weeks to save the world, Nature Bookmark and Share

    Excerpt: Singularity University in California, known as SU by its alumni, isn't really a university " it doesn't award degrees or grant course credits. Instead, it is an intense, ten-week, exclusive summer school for overachieving graduate-level students from the worlds of academia and business (...) Its mission is to educate and inspire future leaders to use emerging technologies to solve the globe's biggest problems, from poverty to ill health to resource depletion.
    • Source: Education: Ten weeks to save the world
      [ http://dx.doi.org/10.1038/467266a ], Nicola Jones, DOI: 10.1038/467266a, Nature 467, 266-268, 2010/09/15

    1. Solutions beyond systems analysis, Nature Bookmark and Share

      Excerpt:
      Scientific analysis has so far failed to tackle big environmental and social problems, such as biodiversity loss, global warming and overpopulation. Difficult to solve because of their inherent complexities, changes and contradictions, these tangled issues were termed 'wicked problems' in the 1960s by philosopher and systems scientist C. West Churchman and design theorists Horst Rittel and Melvin Webber. By contrast, 'tame problems' could be solved by technical, scientific and managerial experts. Tackling Wicked Problems argues that we must transcend disciplines to address complex environmental issues.
      • Source: Solutions beyond systems analysis
        [ http://dx.doi.org/10.1038/467276a ], Howard P. Segal, DOI: 10.1038/467276a, Nature 467, 276, 2010/09/16

  4. To tame traffic, go with the flow, Science News Bookmark and Share

    Excerpt: Traffic lights that act locally can improve traffic globally, new research suggests. By minimizing congestion, the approach could save money, reduce emissions and perhaps even quash the road rage of frustrated drivers.
    The new approach makes traffic lights go with the flow, rather than enslaving drivers to the tyranny of timed signals. By measuring vehicle inflow and outflow through each intersection as it occurs and coordinating lights with only their nearest neighbors, a systemwide smoothness emerges
    • Source: To tame traffic, go with the flow
      [ http://www.sciencenews.org/view/generic/id/63481/title/To_tame_traffic%2C_go_with_the_flow ], Rachel Ehrenberg, Science News, 2010/09/17
    • AUDIO - Audible Format
      [ http://www.audible.com/sciencenews/ ]

    1. Self-Stabilizing Decentralized Signal Control of Realistic, Saturated Network Traffic, SFI Working Papers Bookmark and Share

      Excerpt: A coordination of vehicle flows is usually reached by a cyclical operation of traffic lights, and by synchronizing these cycles. The typical conditions, however, for which traffic lights are normally optimized for, never occur exactly. Large fluctuations in the number of vehicles arriving during one cycle time may lead to an inefficient usage of green times, which are often either too short or too long. The method we propose here allows for variable adjustments not only of the duration, but also of the order of green phases, while it reaches at least the same intersection throughput capacity as an optimized fixed-time controller.
      • Source: Self-Stabilizing Decentralized Signal Control of Realistic, Saturated Network Traffic
        [ http://www.santafe.edu/research/working-papers/abstract/67d8c997e841b3a2e253aacad4e2851b/ ], Stefan Lammer, Dirk Helbing, DOI: SFI-WP 10-09-019, SFI Working Papers

  5. Nicholas Christakis: How social networks predict epidemics, TED.com Bookmark and Share

    About this talk: After mapping humans' intricate social networks, Nicholas Christakis and colleague James Fowler began investigating how this information could better our lives. Now, he reveals his hot-off-the-press findings: These networks can be used to detect epidemics earlier than ever, from the spread of innovative ideas to risky behaviors to viruses (like H1N1).
    • Source: Nicholas Christakis: How social networks predict epidemics
      [ http://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics.html ], TED.com, 2010/09
    • VIDEO - Watch this talk
      [http://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics.html ]

    1. Steven Johnson: Where good ideas come from, TED.com Bookmark and Share

      About this talk: People often credit their ideas to individual "Eureka!" moments. But Steven Johnson shows how history tells a different story. His fascinating tour takes us from the "liquid networks" of London's coffee houses to Charles Darwin's long, slow hunch to today's high-velocity web.
      • Source: Steven Johnson: Where good ideas come from
        [ http://www.ted.com/talks/steven_johnson_where_good_ideas_come_from.html ], TED.com, 2010/09
      • VIDEO - Watch this talk
        [http://www.ted.com/talks/steven_johnson_where_good_ideas_come_from.html ]

  6. Information Driven Self-Organization: The Dynamical System Approach to Autonomous Robot Behavior, SFI Working Papers Bookmark and Share

    Excerpt: In recent years, information theory has come into the focus of researchers interested in the sensorimotor dynamics of both robots and living beings. One root for these approaches is the idea that living beings are information processing systems and that the optimization of these processes should be an evolutionary advantage. Apart from these more principal questions, there is much interest recently in the question how a robot can be equipped with an internal drive for innovation or curiosity that may serve as a drive for an open ended, self-determined development of the robot. The success of these approaches depends essentially on the choice of a convenient measure for the information. This paper studies in some detail the use of the predictive information (PI) (...) of the sensorimotor process.
    • Source: Information Driven Self-Organization: The Dynamical System Approach to Autonomous Robot Behavior
      [ http://www.santafe.edu/research/working-papers/abstract/b67e30004130f486027ea324c080a058/ ], Nihat Ay, Ralf Der, Mikhail Prokopenko, DOI: SFI-WP 10-09-018, SFI Working Papers

  7. Stephen Hawking’s grand theory of what?, The National Bookmark and Share

    Excerpt:
    It’s something of a shock to discover that the acres of press copy on Stephen Hawking’s “disproof” of God’s existence come from a single throwaway phrase at the end of The Grand Design: “Spontaneous creation is the reason there is something rather than nothing, why the universe exists, why we exist. It is not necessary to invoke God to light the blue touch paper and set the universe going.”
    • Source: Stephen Hawking’s grand theory of what?
      [ http://www.thenational.ae/apps/pbcs.dll/article?AID=/20100917/REVIEW/709169974/1008 ], Philip Ball, The National, 2010/09/13

  8. Social organization in a flatworm: trematode parasites form soldier and reproductive castes, Proc. R. Soc. B Bookmark and Share

    Excerpt: In some of the most complex animal societies, individuals exhibit a cooperative division of labour to form castes. The most pronounced types of caste formation involve reproductive and non-reproductive forms that are morphologically distinct. In colonies comprising separate or mobile individuals, this type of caste formation has been recognized only among the arthropods, sea anemones and mole-rats. Here, we document physical and behavioural caste formation in a flatworm. Trematode flatworm parasites undergo repeated clonal reproduction of ‘parthenitae’ within their molluscan hosts forming colonies.
    • Source: Social organization in a flatworm: trematode parasites form soldier and reproductive castes
      [ http://rspb.royalsocietypublishing.org/content/early/2010/09/16/rspb.2010.1753.abstract ], Ryan F. Hechinger, Alan C. Wood and Armand M. Kuris, DOI: 10.1098/rspb.2010.175, Proc. R. Soc. B, 2010/09/17

  9. Peer-Review in a World with Rational Scientists: Toward Selection of the Average, SFI Working Papers Bookmark and Share

    Excerpt: One of the virtues of peer review is that it provides a self-regulating selection mechanism for scientific work, papers and projects. Peer review as a selection mechanism is hard to evaluate in terms of its efficiency. Serious efforts to understand its strengths and weaknesses have not yet lead to clear answers. In theory peer review works if the involved parties (editors and referees) conform to a set of requirements, such as love for high quality science, objectiveness, and absence of biases, nepotism, friend and clique networks, selfishness, etc. If these requirements are violated, what is the effect on the selection of high quality work? We study this question with a simple agent based model. In particular we are interested in the effects of rational referees, who might not have any incentive to see high quality work other than their own published or promoted. We find that a small fraction of incorrect (selfish or rational) referees can drastically reduce the quality of the published (accepted) scientific standard.
    • Source: Peer-Review in a World with Rational Scientists: Toward Selection of the Average
      [ http://www.santafe.edu/research/working-papers/abstract/dc59aa3f002f8f6e9c4ee88b858dda5a/ ], Stefan Thurner, Rudolf Hanel, DOI: SFI-WP 10-09-016, SFI Working Papers

  10. Problem solving techniques in cognitive science, AI Rev Bookmark and Share

    Abstract: For many years, researchers have tried to discover how humans solve problems. This research has answered many questions, but still many of them remain unanswered. However, knowledge gained in this field has greatly enhanced our understanding and has enabled us to design human-like intelligent systems. In the 1920s the Gestalt psychologists introduced a new field to cognitive science. They discovered that when presented with certain problems we use insight to reach a solution. In the 1950s Newell & Simon then brought the field of problem solving into the information age. They experimented with the idea of problem solving as a search for a solution in a state space. This technique is today utilized in the field of computing and Artificial Intelligence. This paper reviews techniques and looks at how we use previous experience gained by solving problems to solve new similar problems, making analogies between them. Experts’ performance during problem solving is compared to that of novices.
    • Source: Problem solving techniques in cognitive science
      [ http://dx.doi.org/10.1007/s10462-010-9171-0 ], Joan Condell, John Wade, Leo Galway, Michael McBride, Padhraig Gormley, Joseph Brennan and Thiyagesan Somasundram, DOI: 10.1007/s10462-010-9171-0, AI Rev Volume 34, Number 3, 221-234, 2010/06/06

  11. Line graphs of weighted networks for overlapping communities, Eur. Phys. J. B Bookmark and Share

    Abstract: In this paper, we develop the idea to partition the edges of a weighted graph in order to uncover overlapping communities of its nodes. Our approach is based on the construction of different types of weighted line graphs, i.e. graphs whose nodes are the links of the original graph, that encapsulate differently the relations between the edges. Weighted line graphs are argued to provide an alternative, valuable representation of the system's topology, and are shown to have important applications in community detection, as the usual node partition of a line graph naturally leads to an edge partition of the original graph. This identification allows us to use traditional partitioning methods in order to address the long-standing problem of the detection of overlapping communities. We apply it to the analysis of different social and geographical networks.
    • Source: Line graphs of weighted networks for overlapping communities
      [ http://dx.doi.org/10.1140/epjb/e2010-00261-8 ], T. S. Evans and R. Lambiotte, DOI: 10.1140/epjb/e2010-00261-8, Eur. Phys. J. B, 2010/09/13

  12. Selfishness versus functional cooperation in a stochastic protocell model, Journal of Theoretical Biology Bookmark and Share

    Excerpt: How to design an “evolvable” artificial system capable to increase in complexity? [...] After analyzing the dynamical behaviour of competing replicators within compartments, we show here that a proliferation of differentiated catalysts and/or improvement of catalytic efficiency of ribozymes can potentially evolve in properly designed artificial cells where the strong internal competition between the different species of replicators is somewhat prevented (i.e., by choosing them with equal probability). Experimental evolution in these systems will likely stand as beautiful examples of artificial adaptive systems, and will provide new insights to understand possible evolutionary paths to the evolution of metabolic complexity.
    • Source: Selfishness versus functional cooperation in a stochastic protocell model
      [ http://dx.doi.org/10.1016/j.jtbi.2010.09.011 ], Zintzaras E, Santos M, Szathmáry E, DOI: 10.1016/j.jtbi.2010.09.011, Journal of Theoretical Biology, in Press, September 2010
    • Contributed by Segismundo

  13. Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation, Science Bookmark and Share

    Abstract: The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to explain self-regulated pattern formation in the developing animal embryo. Although its real-world relevance was long debated, a number of compelling examples have gradually alleviated much of the skepticism surrounding the model. The RD model can generate a wide variety of spatial patterns, and mathematical studies have revealed the kinds of interactions required for each, giving this model the potential for application as an experimental working hypothesis in a wide variety of morphological phenomena. In this review, we describe the essence of this theory for experimental biologists unfamiliar with the model, using examples from experimental studies in which the RD model is effectively incorporated.
    • Source: Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation
      [ http://dx.doi.org/10.1126/science.1179047 ], Shigeru Kondo, Takashi Miura, DOI: 10.1126/science.1179047, Science Vol. 329. no. 5999, pp. 1616 - 1620, 2010/09/24

  14. The Ecological Significance of Tool Use in New Caledonian Crows, Science Bookmark and Share

    Excerpt: Tool use is so rare in the animal kingdom that its evolutionary origins cannot be traced with comparative analyses. Valuable insights can be gained from investigating the ecological context and adaptive significance of tool use under contemporary conditions, but obtaining robust observational data is challenging. (...) Our calculations provide estimates of larva-intake rates and show that just a few larvae can satisfy a crow’s daily energy requirements, highlighting the substantial rewards available to competent tool users.
    • Source: The Ecological Significance of Tool Use in New Caledonian Crows
      [ http://dx.doi.org/10.1126/science.1192053 ], Christian Rutz, Lucas A. Bluff, Nicola Reed, Jolyon Troscianko, Jason Newton, Richard Inger, Alex Kacelnik, Stuart Bearhop, DOI: 10.1126/science.1192053, Science Vol. 329. no. 5998, pp. 1523 - 1526, 2010/09/17

  15. Adaptive network models of swarm dynamics, arXiv Bookmark and Share

    Abstract: A simple adaptive network model describing recent swarming experiments is introduced. By exploiting an analogy with human decision-making models, its dynamics is captured using a low-dimensional system of equations permitting analytical investigation. The model reproduces several characteristic features of swarms, including: spontaneous symmetry breaking, noise- and density-driven order-disorder transitions that can be of first or second order, intermittency, and metastable configurations displaying memory effects. By considering only minimal components of the swarming dynamics, it highlights the essential elements required to reproduce the observed behavior.
    • Source: Adaptive network models of swarm dynamics
      [ http://arXiv.org/abs/1009.2349 ], Cristián Huepe, Gerd Zschaler, Anne-Ly Do, Thilo Gross, arXiv:1009.2349, 2010/09/13

  16. Evolution towards oscillation or stability in a predator-prey system, Proc. R. Soc. B Bookmark and Share

    Excerpt: We studied a prey-predator system in which both species evolve. We discuss here the conditions that result in coevolution towards a stable equilibrium or towards oscillations.
    • Source: Evolution towards oscillation or stability in a predator-prey system
      [ http://dx.doi.org/10.1098/rspb.2010.0691 ], Mougi A, Iwasa Y, DOI: 10.1098/rspb.2010.0691, Proc. R. Soc. B v. 277 n. 1697, September 2010
    • Contributed by Segismundo

  17. Complex networks derived from cellular automata, arXiv Bookmark and Share

    Abstract: We propose a method for deriving networks from one-dimensional binary cellular automata. The derived networks are usually directed and have structural properties corresponding to the dynamical behaviors of their cellular automata. Network parameters, particularly the efficiency and the degree distribution, show that the dependence of efficiency on the grid size is characteristic and can be used to classify cellular automata and that derived networks exhibit various degree distributions. In particular, a class IV rule of Wolfram's classification produces a network having a scale-free distribution.
    • Source: Complex networks derived from cellular automata
      [ http://arXiv.org/abs/1009.4509 ], Yoshihiko Kayama, arXiv:1009.4509, 2010/09/23

  18. Mexico's Drug War: The Battle to Remain Safe, Low-cost and Competitive, Knowledge@Wharton Bookmark and Share

    Summary: Mexico became a manufacturing mecca thanks, in part, to its inexpensive labor and proximity to the massive U.S. market. But there is a new reality on the ground these days: a surge in violence tied to the war on drug cartels mounted by Mexican President Felipe Calderon. The result has been a wave of kidnappings, extortion and murder that is threatening the country's economic health and causing multinationals to examine closely how they operate and invest in Mexico.
    Editor's Note: This conflict has been considerably fostered by the Mexican government itself while attempting to fight drug cartels violently with the army. Oh, surprise: they fight back.
    • Source: Mexico's Drug War: The Battle to Remain Safe, Low-cost and Competitive
      [ http://knowledge.wharton.upenn.edu/article.cfm?articleid=2589 ], Knowledge@Wharton, 2010/09/15

  19. Book Announcements Bookmark and Share


    1. Your Career Game: How Game Theory Can Help You Achieve Your Professional Goals, Stanford Business Books Bookmark and Share

      Summary:
      We compete for jobs and, the more desirable the job, the tougher the competition. Most people readily understand this, but the authors suggest that fewer people recognize how the pursuit of an open job can be framed as one "move" in a multifaceted game called "a career”. They demonstrate how game theory can help readers to understand and take charge of their career strategy. They show how game theory can teach readers to manage the interdependencies and interconnectedness among coworkers, managers, and others in a manner that supports personal career efforts. They also show how readers can become better players.
      • Source: Your Career Game: How Game Theory Can Help You Achieve Your Professional Goals
        [ http://www.amazon.com/dp/0804756287?tag=compldiges-20&camp=0&creative=0&linkCode=as1&creativeASIN=0804756287&adid=03T8ZRAY4G1H8K4THMYQ& ], Nathan Bennett, Stephen A. Miles, Stanford Business Books, 2010/04/01
      • Contributed by Anton Joha - antonjohaagmail.com

    2. Dynamics of Machinery: Theory and Applications, Springer Bookmark and Share

      Summary:
      Dynamic loads and undesired oscillations increase with higher speed of machines. At the same time, industrial safety standards require better vibration reduction. This book covers model generation, parameter identification, balancing of mechanisms, torsional and bending vibrations, vibration isolation, and the dynamic behavior of drives and machine frames as complex systems. Typical dynamic effects, such as the gyroscopic effect, damping and absorption, shocks, resonances of higher order, nonlinear and self-excited vibrations are explained using practical examples.
      • Source: Dynamics of Machinery: Theory and Applications
        [ http://www.amazon.com/dp/3540899391?tag=compldiges-20&camp=0&creative=0&linkCode=as1&creativeASIN=3540899391&adid=1A4M90EVJJP10APXNANN& ], Hans Dresig, Franz Holzweißig, Springer, 2010/09/01
      • Contributed by Anton Joha - antonjohaagmail.com

    3. Evolutionary Genomics and Systems Biology, Wiley-Blackwell Bookmark and Share

      Summary:
      A comprehensive, authoritative look at an emergent area in post-genomic science, evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. This book is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects are covered in clear detail: (1) the study of genomic history, (2) the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and (3) the evolutionary and dynamic study of wiring diagrams.
      • Source: Evolutionary Genomics and Systems Biology
        [ http://www.amazon.com/dp/0470195142?tag=compldiges-20&camp=0&creative=0&linkCode=as1&creativeASIN=0470195142&adid=1JXWN563AHAG4QNPCX70& ], Gustavo Caetano-Anollés, Wiley-Blackwell, 2010/04/01
      • Contributed by Anton Joha - antonjohaagmail.com

    4. Econophysics and Companies: Statistical Life and Death in Complex Business Networks, Cambridge University Press Bookmark and Share

      Summary:
      Econophysics is an emerging interdisciplinary field that takes advantage of the concepts and methods of statistical physics to analyse economic phenomena. This book expands the explanatory scope of econophysics to the real economy by using methods from statistical physics to analyse the success and failure of companies. Using large data sets of companies and income-earners in Japan and Europe, the authors show how these methods allow us to analyse companies, from huge corporations to small firms. They then show how successful this approach is in explaining a wide range of recent findings relating to the dynamics of companies.
      • Source: Econophysics and Companies: Statistical Life and Death in Complex Business Networks
        [ http://www.amazon.com/dp/0521191491?tag=compldiges-20&camp=0&creative=0&linkCode=as1&creativeASIN=0521191491&adid=19V012D6KVD8T1SZSZWC& ], Hideaki Aoyama et al., Cambridge University Press, 2010/09/15
      • Contributed by Anton Joha - antonjohaagmail.com

    5. Nonlinear Models for Economic Decision Processes, Imperial College Press Bookmark and Share

      Summary:
      Using models, developed in one branch of science, to describe similar behaviors encountered in a different one, is the essence of a synergetic approach. A wide range of topics has been developed including Agent-based models, econophysics, socio-economic networks, information, bounded rationality and learning in economics, markets as complex adaptive systems - evolutionary economics, multi scale analysis and modeling, nonlinear dynamics and econometrics, physics of risk, statistical and probabilistic methods in economics and finance. This publication concentrates on process behavior of economic systems and building models that stem from Haken's, Prigogine's, Taylor's work as well as from nuclear physics models.
      • Source: Nonlinear Models for Economic Decision Processes
        [ http://www.amazon.com/dp/1848164270?tag=compldiges-20&camp=0&creative=0&linkCode=as1&creativeASIN=1848164270&adid=1RSCCMGZM90VZCFGT2FN& ], Lonut Purica, Imperial College Press, 2010/02/01
      • Contributed by Anton Joha - antonjohaagmail.com

  20. Links & Snippets Bookmark and Share


    1. Other Publications Bookmark and Share

      1. A Comprehensive Classification of Complex Statistical Systems and an Ab-Initio Derivation of their Entropy and Distribution Functions, Rudolf Hanel, Stefan Thurner, SFI Working Papers, DOI: SFI-WP 10-09-017
      2. Computational Modalities of Belousov-Zhabotinsky Encapsulated Vesicles, Julian Holley, Andrew Adamatzky, Larry Bull, Ben De Lacy Costello, Ishrat Jahan, 2010/09/10, arXiv:1009.2044
      3. Exponential wealth distribution in different discrete economic models, Ricardo Lopez-Ruiz, 2010/09/18, arXiv:1009.3550
      4. Dendritic Discrimination of Temporal Input Sequences in Cortical Neurons, Tiago Branco, Beverley A. Clark, Michael Häusser, 2010/09/24, Science Vol. 329. no. 5999, pp. 1671 - 1675, DOI: 10.1126/science.1189664

    2. Event Announcements Bookmark and Share

      1. CASoN 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, China, 2010/09/26"28
      2. Data driven dynamical networks, Les Houches, France, 2010/09/26-10/01
      3. SASO 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, Budapest, Hungary, 2010/09/27-10/01
      4. Primer Congreso Mexicano de Ciencias de la Complejidad, Ciudad Universitaria, D.F., Mexico, 2010/10/4-6
      5. Multi-scale dynamics and evolvability of biological networks, Leipzig, Germany, 2010/10/4-6
      6. Masse de données multi-échelles et leur exploitation sur grille, Paris, France, 2011/10/05
      7. 2nd Workshop on Complex Networks CompleNet 2010, Rio de Janeiro, Brazil, 2010/10/13-15
      8. 1st International Conference on Bionics & Biomechanics, Venice, Italy, 2010/10/14-16
      9. Fifth National Conference on systems science, Fermo, Italy, 2010/10/16
      10. Business Complexity and the Global Leader Conference, Boston, Massachusetts, USA, 2010/10/17-20
      11. Joint Colloquium of the Cochrane & Campbell Collaborations, Keystone, Colorado, USA 2010/10/18-22
      12. CONNECTING THE DOTS: A Network Visualization Symposium, Cambridge, MA, USA, 2010/10/22
      13. 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
      14. The 2010 International Workshop on Nature Inspired Computation and Applications (IWNICA'10), Hefei, Anhui, China, 2010/10/23-27
      15. First International Conference on Complex Systems Design and Management (CSDM 2010), Paris, France, 2010/10/27-29
      16. International Workshop on Statistical Physics and Biology of Collective Motion, Dresden, Germany, 2010/11/8-12
      17. 2nd Annual Complexity in Business Conference, Washington, DC, USA, 2010/11/12
      18. Science and Innovation Week 2010, Mexico City, Mexico, 2010/11/22-26
      19. JMS2010 Modeling and Simulation Symposium 2010, Mérida, Venezuela, 2010/11/24-26
      20. The 5th Int'l Conference on Bio-Inspired Models of Network, Information and Computing Systems, Boston, MA, USA, 2010/12/1-3
      21. 2010 International Congress on Computer Applications and Computational Science CACS 2010, Singapore, 2010/12/4-6
      22. IEEE/IFIP EUC 2010 (Embedded and ubiquitous computing), Hong Kong SAR, China, 2010/12/11-13
      23. The 14th International Conference On Principles Of Distributed Systems (OPODIS 2010), Tozeur, Tunisia, 2010/12/14-17
      24. SYNTHETIC BIOLOGY Bottom-up, Top-down and Cell-free approaches, Intellectual Property issues, Evry, France, 2010/12/15-16
      25. The Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010), Kitakyushu, Japan, 2010/12/15-17
      26. Winter Meeting on Statistical Physics, Taxco, Guerrero, Mexico, 2011/1/4-7
      27. International Symposium on Artificial Life and Robotics, Beppu, Oita, Japan, 2011/01/27-29
      28. 3rd International Conference on Agents and Artificial Intelligence (ICAART 2011), Rome, Italy, 2011/01/28-30
      29. IWSOS 2011, Fifth International Workshop on Self-Organizing Systems , Karlsruhe, Germany, 2011/02/23-25
      30. IEEE Symposium Series on Computational Intelligence - SSCI 2011, Paris, France, 2011/04/11-15
      31. EVOSTAR 2011, Torino, Italy, 2011/4/27-29
      32. 7th Annual International Conference on Computer Science and Information Systems, Athens, Greece, 2011/06/13-16
      33. International Conference on Complex Systems (ICCS 2011), Boston, MA, USA, 2011/06/26-07/01
      34. GECCO 2011: Genetic and Evolutionary Computation Conference, Dublin, Ireland, 2011/07/12-16
      35. IJCAI 2011, the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011/07/16-22
      36. ECAL 11: European Conference on Artificial Life, Paris, France, 2011/08/8-12
      37. World Conference on Marine Biodiversity, Aberdeen, Scotland, UK, 2011/09/26-30


    3. Webcast Announcements 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


    4. Other Announcements Bookmark and Share