Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well as computer simulations. It will aim to discover fundamental connections between information-theoretic and statistical-mechanical approaches to self-organisation, while investigating a variety of topics in nonlinear critical phenomena, with particular focus on information dynamics during phase transitions.
The PhD will be supervised by Prof. Mikhail Prokopenko. The applicant will join the Complex Systems Research Group (CSRG) at The School of Civil Engineering – The University of Sydney. The CSRG group comprises ten academics, and has wide collaborations across the University, Australia, and internationally. It is a vibrant, world-leading group in the fields of guided self-organisation and critical phenomena forecasting.
The scholarship also includes covering the fees payable by international students.
In recent years, ideas such as "life is information processing" or "information holds the key to understanding life" have become more common. However, how can information, or more formally Information Theory, increase our understanding of life, or life-like systems?
Information Theory not only has a profound mathematical basis, but also typically provides an intuitive understanding of processes, such as learning, behavior and evolution terms of information processing.
In this special issue, we are interested in both: a.) the information-theoretic formalization and quantification of different aspects of life, such as driving forces of learning and behavior generation, information flows between neurons, swarm members and social agents, and information theoretic aspects of evolution and adaptation and b.) the simulation and creation of life-like systems with previously identified principles and incentives.
Topics with relation to artificial and natural systems:
information theoretic intrinsic motivationsinformation theoretic quantification of behaviorinformation theoretic guidance of artificial evolutioninformation theoretic guidance of self-organizationinformation theoretic driving forces behind learninginformation theoretic driving forces behind behaviorinformation theory in swarmsinformation theory in social behaviorinformation theory in evolutioninformation theory in the braininformation theory in system-environment distinctioninformation theory in the perception action loopinformation theoretic definitions of life
Dr. Christoph Salge Dr. Georg Martius Dr. Keyan Ghazi-Zahedi Dr. Daniel Polani Guest Editors
Deadline for manuscript submissions: 28 February 2015
The school will take place from 29 June to 3 July 2015 The scope of the school is to present recent advances in complex systems discussing applications of statistical mechanics of non-equilibrium and disordered systems, theories of complex networks and other stochastic systems to different topics in materials science, social sciences, biology and biomedical research. The broad choice of interdisciplinary topics is designed to expose the students to some of the multiple facets of complex systems theory. The school is open to graduate students and postdoctoral fellows working in complex systems and related fields.
Advances in Complex Systems Lake Como School of Advanced Studies, 29 June – 3 July 2015 (Como)
Climate Change May Impact El Nino Rainfall Patterns reportingclimatescience.com Chadwick, R., Boutle, I. & Martin, G. Spatial Patterns of Precipitation Change in CMIP5: Why the Rich Do Not Get Richer in the Tropics.
Numerical Heat Transfer and Fluid Flow (Hemisphere Series on Computational Methods in Mechanics and Thermal Science) Offer Price $196.23 ISBN:0891165223 Authors Suhas Patankar List Price : $231.00 Availablity Usually ships in 24 hours Publisher :...
IBM and http://IBMblr.Tumblr.com celebrate the life of Benoit B. Mandelbrot, IBM Fellow Emeritus and Fractal Pioneer. In this final interview shot by filmmaker Erol Morris, Mandelbrot shares his love for mathematics and how it led him to his wondrous discovery of fractals. His work lives on today in many innovations in science, design, telecommunications, medicine, renewable energy, film (special effects), gaming (computer graphics) and more.
The fractal dimension (FD) image is generated by considering each pixel in the original CT image as a single fractal dimension estimated from its 7x7 neighbours. The FD generated image remarkably enhances the tissue ...
The PyCX Project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems simulations, including iterative maps, cellular automata, dynamical networks and agent-based models.
The New England Complex Systems Institute has funding for postdoctoral and predoctoral research appointments. We look for outstanding applicants with training in physics, mathematics or computer science. We value strong writing abilities. Candidates should be interested in contributing to a wide range of NECSI's research areas, including analysis and modeling of
Socio-economic systems relevant to: - The food and economic crises, - Conflicts, revolutions, and ethnic violence - International development, and - Pandemics
All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred and modified. Indeed, bits of information about the state of one element will travel—imperfectly—to the state of the other element, forming its new state. This storage, transfer, and modification of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.
Guest Editor: Dr. Rick Quax
Deadline for manuscript submissions: 28 February 2015
The interdisciplinary approach to problems that till recently were addressed in the hermetic framework of distinct disciplines such as physics, informatics, biology or sociology constitutes today one of the most active and innovative areas of...
Quantum Teleportation and Entanglement: A Hybrid Approach to Optical Quantum Information Processing Offer Price $97.72 ISBN:3527409300 Authors Akira Furusawa, Peter van Loock List Price : $140.00 Availablity Usually ships in 24 hours Publisher :...
Max Planck Institute for the Physics of Complex Systems
Much of the work on non-equilibrium statistical mechanics has relied on the notion of a local order parameter, absent in topological phases. Conversely, studies of topological phenomena have focused on equilibrium and ground-state properties. The intersection of these fields remains largely uncharted territory.
This workshop brings together theorists from both groups, as well as experimentalists studying dynamical phenomena in a variety of systems, covering topics such as topological phenomena in driven systems, hydrodynamic descriptions of phases with emergent gauge fields, ultrafast and inelastic spectral probes of quantum matter, the development of numerical methods, and finally potential experiments in the solid state and ultracold atomic gases.
Shuichi Kinoshita, "Pattern Formations and Oscillatory Phenomena" English | ISBN: 0123970148 | 2013 | 280 pages | PDF | 31 MB Patterns and their formations appear throughout nature, and are studied to.
New Complexity MOOC Started iProgrammer Introduction to Dynamical Systems and Chaos, the second course to be offered through the Santa Fe Institute's Complexity Explorer project started on January 6th and enrollment is still open.
We give exact formulae for a wide family of complexity measures that capture the organization of hidden nonlinear processes. The spectral decomposition of operator-valued functions leads to closed-form expressions involving the full eigenvalue spectrum of the mixed-state presentation of a process's epsilon-machine causal-state dynamic. Measures include correlation functions, power spectra, past-future mutual information, transient and synchronization informations, and many others. As a result, a direct and complete analysis of intrinsic computation is now available for the temporal organization of finitary hidden Markov models and nonlinear dynamical systems with generating partitions and for the spatial organization in one-dimensional systems, including spin systems, cellular automata, and complex materials via chaotic crystallography.
Exact Complexity: The Spectral Decomposition of Intrinsic Computation James P. Crutchfield, Christopher J. Ellison, Paul M. Riechers