Emergency response to extreme weather events on the agenda Cooma Monaro Express COOMA residents were given the opportunity to shape future responses to extreme weather events, when the South East Local Land Services (LLS) held a community workshop...
The smart city is a global phenomenon driven by a confluence of rapid urbanization, aging infrastructure, and advances in information technology, which are (The smart city is a global phenomenon driven by a confluence of rapid urbanization, aging ...
Working with Joachim Sturmberg as our lead, my colleagues and I are hosting one of the first international conferences on Systems and Complexity Science for Healthcare this November, the 13th and 14th, at Georgetown ...
Power grids, road maps, and river streams are examples of infrastructural networks which are highly vulnerable to external perturbations. An abrupt local change of load (voltage, traffic density, or water level) might propagate in a cascading way and affect a significant fraction of the network. Almost discontinuous perturbations can be modeled by shock waves which can eventually interfere constructively and endanger the normal functionality of the infrastructure. We study their dynamics by solving the Burgers equation under random perturbations on several real and artificial directed graphs. Even for graphs with a narrow distribution of node properties (e.g., degree or betweenness), a steady state is reached exhibiting a heterogeneous load distribution, having a difference of one order of magnitude between the highest and average loads. Unexpectedly we find for the European power grid and for finite Watts-Strogatz networks a broad pronounced bimodal distribution for the loads. To identify the most vulnerable nodes, we introduce the concept of node-basin size, a purely topological property which we show to be strongly correlated to the average load of a node.
Shock waves on complex networks • Enys Mones, Nuno A. M. Araújo, Tamás Vicsek & Hans J. Herrmann
Never before were politicians, business leaders, and scientists more urgently needed to master the challenges ahead of us. We are in the middle of a third industrial revolution. While we see the symptoms, such as the financial and economic crisis, cybercrime and cyberwar, we haven't understood the implications well. But at the end of this socio-economic transformation, we will live in a digital society. This comes with breath-taking opportunities and challenges, as they occur only every 100 years.
From Crystal Ball to Magic Wand: The New World Order in Times of Digital Revolution. Dirk Helbing, ETH Zurich. Talk delivered via skype on March 24, 2014, to the AAAI workshop on THE INTERSECTION OF ROBUST INTELLIGENCE AND TRUST IN AUTONOMOUS SYSTEMS
We need another Apollo project, but this time focusing on our Earth. I am ready for this, are you?
Please watch this movie to the end. The solution to our world's problems is different from what many strategic thinkers believed.
Ecologist Deborah Gordon studies ants wherever she can find them -- in the desert, in the tropics, in her kitchen ... In this fascinating talk, she explains her obsession with insects most of us would happily swat away without a second thought. She argues that ant life provides a useful model for learning about many other topics, including disease, technology and the human brain.
Massive New Storm-Protection Barrier Funded for Lower Manhattan Next City Selected as winners of the Department of Housing and Urban Development-backed Rebuild by Design contest, the proposals will receive nearly one billion from HUD's Community...
Forbes An Entrepreneur's Prescription For Fixing Healthcare: Start Innovating! Forbes An Entrepreneur's Guide to Fixing Health Care” he shares his fundamental belief in the need for systems-changing innovations in health care.
This humongous and almost tongue in cheek blog post presents seemingly disconnected ideas about science and philosophy in chronological order in order to build to a creative crescendo of an introduction to complexity ...
Last chance to book for Human Factors in Complex Systems. 27 May 2014 by Admin. Did you know that John Wilson would do three Sudoku just to get to sleep? …but apparently he didn't know which way up a carrot grew!
Anytime complexity increases through evolution, one must ask how selection at the lower level of organization (i.e., the individual cell) doesn't disrupt the integration at higher levels of organization (i.e., a multicellular organism) by favoring selfishness. There are some general evolutionary hypotheses that have been offered to explain why and how multicellularity and the division of labor between somatic and germline cells evolved, as well as the conditions under which these developments would be expected. Clearly, organisms with differentiated cells can experience many fitness advantages, such as the ability to grow larger and exploit novel resources. And along with these advantages come costs, such as the energy and materials that must be allocated towards growth and maintenance, rather than reproduction. However, there are more subtle, but no less important, constraints on an organism's ability to acquire resources, grow, metabolize, and reproduce that might also influence the evolution of cellular differentiation. (...)
The intelligence phenomenon continues to fascinate scientists and engineers, remaining an elusive moving target. Following numerous past observations (e.g., Hofstadter, 1985, p. 585), it can be pointed out that several attempts to construct “artificial intelligence” have turned to designing programs with discriminative power. These programs would allow computers to discern between meaningful and meaningless in similar ways to how humans perform this task. Interestingly, as noted by de Looze (2006) among others, such discrimination is based on etymology of “intellect” derived from Latin “intellego” (inter-lego): to choose between, or to perceive/read (a core message) between (alternatives). In terms of computational intelligence, the ability to read between the lines, extracting some new essence, corresponds to mechanisms capable of generating computational novelty and choice, coupled with active perception, learning, prediction, and post-diction. When a robot demonstrates a stable control in presence of a priori unknown environmental perturbations, it exhibits intelligence. When a software agent generates and learns new behaviors in a self-organizing rather than a predefined way, it seems to be curiosity-driven. When an algorithm rapidly solves a hard computational problem, by efficiently exploring its search-space, it appears intelligent.
Irene Sanders Executive Director and Founder of the Washington Center for Complexity and Public Policy and author of "Strategic Thinking and the New Science: Planning in the Midst of Chaos, Complexity, and Change."
Complex systems have multilevel dynamics emerging from interactions between their parts. Networks have provided deep insights into those dynamics, but only represent relations between two things while the generality is relations between many things. Hypergraphs and their related Galois connections have long been used to model such relations, but their set theoretic nature has inadequate and inappropriate structure. Simplicial complexes can better represent relations between many things but they too have limitations. Hypersimplices, which are defined as simplices in which the relational structure is explicit, overcome these limitations. Hypernetworks, which in the simplest cases are sets of hypersimplices, have a multidimensional connectivity structure which constrains those dynamics represented by patterns of numbers over the hypersimplices and their vertices. The dynamics of hypernetwork also involve the formation and disintegration of hypersimplices, which are seen as structural events related to system time. Hypernetworks provide algebraic structure able to represent multilevel systems and combine their top-down and bottom-up micro, meso and macro-dynamics. Hypernetworks naturally generalise graphs, hypergraphs and networks. These ideas will be presented in a graphical way through examples which also show the relevance of hypernetworks to policy. It will be argued that hypernetworks are necessary if not sufficient for a science of complex systems and its applications. The talk will be aimed at a general audience and no prior knowledge will be assumed.
10th ECCO / GBI seminar series. Spring 2014
From networks to hypernetworks in complex systems science
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