A novel approach for obtaining globally optimal solutions to design of networks with nonlinear resistances and potential driven flows is proposed. The approach is applicable to networks where the potential loss on an edge in the network is governed by a convex and strictly monotonically increasing function of flow rate. We introduce a relaxation of the potential loss constraint and formulate the design problem as a mixed-integer nonlinear program. A linearization-based approach with tailored cuts is proposed that improves the computational efficiency over a standard implementation. We have also implemented a simple heuristic approach for finding feasible solutions at the root node and during the search process. The algorithm has been implemented with IBM-ILOG CPLEX and is shown to be computationally effective on a number of examples from the literature.
The school is intended for postdocs, lecturers and predocs with a background in computer science (artificial intelligence) or computational linguistics (corpus linguistics or natural language processing) and a strong interest in music and the origins of language. There will be background lectures that introduce concepts from biology, anthropology, psychology, music theory and linguistics that are helpful to understand the nature of creativity, the role and intimate relations between language and music, and the mechanisms underlying cultural evolution. It contains technical lectures on the fundamental computational components required for language processing and technical ateliers to learn how to set up evolutionary linguistics experiments. Participants have the opportunity to present their latest research in a poster session. The school also features artistic ateliers in which participants create new creative works and engage in performance.
Music and the Origins of Language International Summer School on Agent-based Computational Models of Creativity, 15 – 20 September 2013 in Cortona (Italy)
Triple Pundit Catalyzing the Connection Economy Triple Pundit In order to meet our own generation's needs, without compromising the needs of future generations, it is incumbent on us evolve a new enterprise model based on this very straightforward...
Network Science Postdoctoral Appointee Defense Daily Network (subscription) Sandia National Laboratories is searching for a Network Science Postdoctoral Appointee for the Informatics and Systems Assessments Department located in Livermore, CA.
Almost all the critical problems of our time are problems of control and almost all of them concern complex adaptive systems. If we want to know more about our bodies, it is not just to increase knowledge but so that we can control our health.
CAS are “systems that don’t yield compact forms of representation”1. In other words a complex system cannot be described by a simple set of equations. Why would this be the case? It is the “adaptive” nature of these systems that leads to this intractability. Agents within the system respond to each set of environmental conditions within a complex adaptive system with a different set of responses and the number of such environments and their corresponding agent responses that need to be accounted for to construct an accurate model of the system is simply too large. But is this simply a problem of impracticality? Could we, at least in theory, construct a model that takes into account all possible environmental conditions and all possible agent behaviours? Although some scientists may argue that such an approach is theoretically possible, there is ample evidence that the critical “adaptive” component of some complex adaptive systems may in fact be unmodelable
I would like to start by extending a very warm welcome from the editorial board of Complex Adaptive Systems Modeling (CASM) journal, a new and exciting SpringerOpen/BioMed Central project. This article is the opening editorial and a call for papers for CASM. It also provides a gentle introduction to CASM as well as serves as a concise multidisciplinary roadmap and survey for CASM readership. The primary goal is to assist multidisciplinary researchers with an interest in modeling complex systems in finding more about relevant helpful resources and the numerous exciting ways in which other colleague researchers use modeling approaches in their respective disciplines. Finally I also provide advice for prospective authors regarding the preparation of manuscripts in a style appropriate to the highly multidisciplinary CASM readership. It is hoped that this will help seed fruitful cross‐fertilization of ideas transgressing disciplinary boundaries.
Complex Adaptive Systems Modeling: A multidisciplinary Roadmap Muaz A Niazi
Vittoria Colizza receives the Young Scientist Award for Socio and Econophysics 2013
Torino, March 11, 2013. Vittoria Colizza, senior researcher at ISI Foundation (Turin, Italy) and at Inserm (Paris, France) is this year’s recipient of the Young Scientist Award for Socio and Econophysics. This is the third time that an Italian scientist receives the award of the German Physical Society (after Fabrizio Lillo in 2008 and Santo Fortunato, ISI researcher as well, in 2011), among the most prestigious prizes in the world in the field of the physics of social and economic systems, assigned to researchers under 40. Colizza receives today the prize in Regensburg, Germany, during the annual meeting of the German Physical Society.
“With vision and courage, Dr. Colizza has made major contributions to and has, indeed, significantly shaped the new field of computational epidemiology”,it is written in the motivation for the award assignment, “leading to remarkable advances in the surveillance, modeling, and prediction of epidemic spreading on a global scale”.
Digital data stem from our own personal and social cognitive processes and thus express them in one way or another. But we still don’t have any scientific tools to make sense of the data flows produced by online creative conversations at the scale of the digital medium as a whole.
There are two contradictory aspects of the adaptive process in evolution. The first is that species must optimally increase their own fitness in a given environment. The second is that species must maintain their variation to be ready to respond to changing environments. In a strict sense, these two aspects might consider to be mutually exclusive. If species are optimally adapted, then the variation in the species that is suboptimal decreases and vice versa. To resolve this dilemma, species must find a balance between optimal adaptation and robust adaptation. Finding the balance between these processes requires both the local and global complete, static information. However, the balance between the processes must be dynamic. In this study, we propose a model that illustrates dynamic negotiation between the global and local information using lattice theory. The dynamic negotiation between these two levels results in an overestimate of fitness for each species. The overestimation of fitness in our model represents the multiplicity of fitness which is sometimes discussed as the exaptation. We show that species in our model demonstrate the power law of the lifespan distribution and 1/f fluctuation for the adaptive process. Our model allows for a balance between optimal adaptation and robust adaptation without any arbitrary parameters.
Interactions between species and environments from incomplete information Takayuki Niizato, Yukio-Pegio Gunji
Biosystems Volume 111, Issue 3, March 2013, Pages 145–155
New York Times A Strange Computer Promises Great Speed New York Times Ray Johnson, Lockheed's chief technical officer, said his company would use the quantum computer to create and test complex radar, space and aircraft systems.
RedOrbit Humans Use Memory Tricks To Track Complex Social Networks RedOrbit Humans keep track of our vast social networks by using special memory tricks that cheat complexity, rather than using routine memorization, according to a new Cornell...
Bloomberg The Insupportable Equilibrium of Economic Thought Bloomberg We'll never understand economies and markets until we get over the nutty idea that they alone -- unlike almost every other complex system in the world -- are inherently stable...
Researchers have described the first documented case of a child being cured of HIV. The case involves a two-year-old child in Mississippi diagnosed with HIV at birth and immediately put on antiretroviral therapy.
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