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Chaos, Cnn, Memristors and Beyond (by Andrew Adamatzky, Guanrong Chen)

Chaos, Cnn, Memristors and Beyond

~ Andrew Adamatzky (author) More about this product
Price $148.00

This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. The first - cellular nonlinear networks, nonlinear circuits and cellular automata - deals with Chua's Lagrangian circuits, cellular wave computers, bio-inspired robotics and neuro-morphic architectures, toroidal chaos, synaptic cellular automata, history of Chua's circuits, cardiac arrhythmias, local activity principle, symmetry breaking and complexity, bifurcation trees, and Chua's views on nonlinear dynamics of cellular automata. Dynamical systems and chaos is the scope of the second part of the book, where we find genius accounts on theory and application of Julia set, stability of dynamical networks, chaotic neural networks and neocortical dynamics, dynamics of piecewise linear systems, chaotic mathematical circuitry, synchronization of oscillators, models of catastrophic events, control of chaotic systems, symbolic dynamics, and solitons. First hand accounts on the discovery of memristors in HP Labs, historical excursions into ancient memristors , analytical analysis of memristors, and hardware memristor emulators are presented in the third and final part of the book.

 

 


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The World Until Yesterday: What we can learn from traditional societies

Jared Diamond - the Pulitzer Prize-winning 'master storyteller of the human race' - reveals how traditional societies provide us with important and often overlooked insights into human nature.


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Rescooped by Eugene Ch'ng from Papers
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The Mathematics of Averting the Next Big Network Failure

The Mathematics of Averting the Next Big Network Failure | Information, Complexity, Computation | Scoop.it

To understand the vulnerability in having nodes in one network depend on nodes in another, consider the “smart grid,” an infrastructure system in which power stations are controlled by a telecommunications network that in turn requires power from the network of stations. In isolation, removing a few nodes from either network would do little harm, because signals could route around the outage and reach most of the remaining nodes. But in coupled networks, downed nodes in one automatically knock out dependent nodes in the other, which knock out other dependent nodes in the first, and so on. Scientists model this cascading process by calculating the size of the largest cluster of connected nodes in each network, where the answer depends on the size of the largest cluster in the other network. With the clusters interrelated in this way, a decrease in the size of one of them sets off a back-and-forth cascade of shrinking clusters.


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David G Wilson's curator insight, March 20, 2013 7:26 PM

“When networks are interdependent, you might think they’re more stable. It might seem like we’re building in redundancy. But it can do the opposite,” http://wp.me/p16h8c-xE


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Engineers of the New Millennium: Life in 2030 - IEEE Spectrum

Engineers of the New Millennium: Life in 2030 - IEEE Spectrum | Information, Complexity, Computation | Scoop.it
A one-hour special from IEEE Spectrum Radio and the National Science Foundation
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Life Discovered in the Deepest Ocean

Life Discovered in the Deepest Ocean | Information, Complexity, Computation | Scoop.it
Researchers probing the deepest ocean have found a surprisingly high concentration of microbes, the latest evidence of organisms thriving in inhospitable environments.
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Which Twitter tribe are you? Researchers discover new wave of online communities which even have their own languages

Which Twitter tribe are you? Researchers discover new wave of online communities which even have their own languages | Information, Complexity, Computation | Scoop.it
Scientists from Royal Holloway, University of London, and Princeton University in New Jersey produced a map of the 'twitter tribes' showing how they have vocations, politics, ethnicities and hobbies in common...
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Rescooped by Eugene Ch'ng from Media & Imagination
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IBM Predicts Computers Will Touch, Taste, Smell, Hear and See In 5 Years

IBM Predicts Computers Will Touch, Taste, Smell, Hear and See In 5 Years | Information, Complexity, Computation | Scoop.it
IBM's 2012

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Harold Thwaites's curator insight, March 11, 2013 8:43 AM

I will be watching this prediction carefully. Computers have "been going" to do many things for many years, Let's see what IBM is up to over the next 5.

Rescooped by Eugene Ch'ng from Papers
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Broadcasters and Hidden Influentials in Online Protest Diffusion

This paper explores the growth of online mobilizations using data from the 'indignados' (the 'outraged') movement in Spain, which emerged under the influence of the revolution in Egypt and as a precursor to the global Occupy mobilizations. The data tracks Twitter activity around the protests that took place in May 2011, which led to the formation of camp sites in dozens of cities all over the country and massive daily demonstrations during the week prior to the elections of May 22. We reconstruct the network of tens of thousands of users, and monitor their message activity for a month (25 April 2011 to 25 May 2011). Using both the structure of the network and levels of activity in message exchange, we identify four types of users and we analyze their role in the growth of the protest. Drawing from theories of online collective action and research on information diffusion in networks the paper centers on the following questions: How does protest information spread in online networks? How do different actors contribute to that diffusion? How do mainstream media interact with new media? Do they help amplify protest messages? And what is the role of less popular but far more frequent users in the growth of online mobilizations? This paper aims to inform the theoretical debate on whether digital technologies are changing the logic of collective action, and provide evidence of how new media facilitates the coordination of offline mobilizations.

 

Broadcasters and Hidden Influentials in Online Protest Diffusion

Sandra González-Bailón, Javier Borge-Holthoefer, Yamir Moreno

http://arxiv.org/abs/1203.1868


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The nature of collective intelligence

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.

 

Presentation by Pierre Levy


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Viktor Markowski's curator insight, March 2, 2013 11:57 AM

45 minute video presentation supported by slides on the nature of collective intelligence and the philosophical and technical construct behind the next level of the internet as a global mind.

Luciano Lampi's curator insight, March 22, 2013 2:15 PM

Pierre Levy, c´est toujours très intéressant!

Bernard Ryefield's curator insight, June 18, 2013 2:32 PM

Pierre Lévy invented IEML; think semantic web

Rescooped by Eugene Ch'ng from Physics of Complex, Nonlinear, Non-equilibrium systems
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The Future of Quantum Information Processing

The Future of Quantum Information Processing #QIP #IS #IP #Science
http://t.co/0xj0oXbOA3

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Rescooped by Eugene Ch'ng from Physics of Complex, Nonlinear, Non-equilibrium systems
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Visionary Images: The Lost Fractals of Benoît Mandelbrot

Visionary Images: The Lost Fractals of Benoît Mandelbrot | Information, Complexity, Computation | Scoop.it

In 2008, fascinated by the interplay between imagery and scientific investigation, art historian Nina Samuel spent two weeks interviewing Mandelbrot in his Cambridge, Massachusetts home. After Mandelbrot passed away in 2010, she was allowed entry to his office, collecting some 300 printouts, sketches and notebook scribbles now on display in The Islands of Benoît Mandelbrot: Fractals, Chaos, and the Materiality of Thinking, an exhibition at the Bard Graduate Center in Manhattan.

"There is such an organic quality to these images," said Samuel. "These are the images the scientists used when they were working, and not what was found on magazine covers or popularized in screensavers."


Via Sakis Koukouvis, Siarhei Barodka
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Darwin’s extra sense: How mathematics is revolutionizing biology | Santa Fe Institute

Darwin’s extra sense: How mathematics is revolutionizing biology | Santa Fe Institute | Information, Complexity, Computation | Scoop.it
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Model resolution in complex systems simulation: Agent preferences, behavior, dynamics and n-tiered networks

Eugene Ch'ng's insight:

Agent-based modeling is a process of representing and simulating the intentions, behaviors and actions of complex systems with the goal of understanding specific phenomena related to the communications within complex systems that produce emergent behavior and self-organization, or for predicting spatial or behavioral patterns of individuals or groups of interacting entities. Agent-based modeling, also termed multi-agent systems, or in ecological simulation, individual-based models, spans simple to highly complex systems; their interactions can be difficult to implement and optimize programmatically, particularly when there could be hundreds of thousands of agents within a community that have multiple levels of communication. The resolution and the scale of simulation is an especially important component that could determine the accuracy of the models. This article focuses on the model resolution of complex systems, facilitated by an object-oriented communications framework, a foundation for the simulation of the fine resolution of the dynamics, behavior, preferences, interaction and n-tiered trophic networks, including the simulated environments they inhabit. It dissects individual agents with a view to modeling and simulating fine behaviors amongst a population of agent types in n-tiered networks, scalable to hundreds of thousands of species using mathematically defined behavior, efficient algorithms and adaptive data structures as support for the simulations.

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Extracting spatial information from networks with low-order eigenvectors

We consider the problem of inferring meaningful spatial information in networks from incomplete information on the connection intensity between the nodes of the network. We consider two spatially distributed networks: a population migration flow network within the US, and a network of mobile phone calls between cities in Belgium. For both networks we use the eigenvectors of the Laplacian matrix constructed from the link intensities to obtain informative visualizations and capture natural geographical subdivisions. We observe that some low-order eigenvectors localize very well and seem to reveal small geographically cohesive regions that match remarkably well with political and administrative boundaries. We discuss possible explanations for this observation by describing diffusion maps and localized eigenfunctions. In addition, we discuss a possible connection with the weighted graph cut problem, and provide numerical evidence supporting the idea that lower-order eigenvectors point out local cuts in the network. However, we do not provide a formal and rigorous justification for our observations.

 

Extracting spatial information from networks with low-order eigenvectors

Mihai Cucuringu, Vincent D. Blondel and Paul Van Dooren

Phys. Rev. E 87, 032803 (2013)

http://link.aps.org/doi/10.1103/PhysRevE.87.032803


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New images confirm Big Bang theory - Telegraph

New images confirm Big Bang theory - Telegraph | Information, Complexity, Computation | Scoop.it
New images capturing the "oldest light" in the universe have confirmed the Big Bang theory but revealed new mysteries that are not explained by current scientific models.
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As Math Grows More Complex, Will Computers Reign? | Wired Science | Wired.com

As Math Grows More Complex, Will Computers Reign? | Wired Science | Wired.com | Information, Complexity, Computation | Scoop.it
As the role of computers in pure mathematics grows, researchers debate their reliability.
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Complex Macro Micro Environment Emitters - Attraction and Repulsion

Complex Macro Micro Environment Emitters - Attraction and Repulsion Simulation showing the effects of micro environment emitters on species niche. Publicatio...
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Moore’s law is not just for computers

Moore’s law is not just for computers | Information, Complexity, Computation | Scoop.it

Predicting the future of technology often seems a fool’s game. In 1946 for example, Thomas J. Watson, founder of International Business Machines — now known simply as IBM — is said to have made the prediction that the world would need just five computers. But US researchers now say that technological progress really is predictable — and back up the claim with evidence regarding 62 different technologies.(...)

 

Moore’s law is not just for computers

Philip Ball

http://www.nature.com/news/moore-s-law-is-not-just-for-computers-1.12548


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Rescooped by Eugene Ch'ng from Media & Imagination
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Quest to Model the Human Brain Nets a Billion Euros

Quest to Model the Human Brain Nets a Billion Euros | Information, Complexity, Computation | Scoop.it
Is a billion euros enough to understand the human brain? The Human Brain Project thinks it’s a good start, and on January 28th, the European Commission agreed.

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Harold Thwaites's curator insight, March 11, 2013 8:37 AM

Curious as it sounds, I met the researchers associated with this project. Originally called the "Blue Brain Project", due to IBM computing power, they came to visit MultiMedia University (MMU) way back in 2008, looking for a possible partnership in the project based in Malaysia and a link with the Faculty of Creative Multimedia at MMU. For whatever reasons, the collaboration did not take place, but I happy to see that the quest to simulate the human brain continues. Congrats gentlemen! Spend your billion Euros wisely.

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NECSI Summer School on Complex Systems

June 10 - 14, 2013 CX201: Complex Physical, Biological, and Social Systems

June 16, 2013 CX102: Computer Programming and Complex Systems

June 17 - 21, 2013 CX202: Complex Systems Modeling and Networks

Early registration deadline: April 16, 2013

http://www.necsi.edu/education/school.html


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Rescooped by Eugene Ch'ng from A New Society, a new education!
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The Art of Complex Problem Solving

The Art of Complex Problem Solving | Information, Complexity, Computation | Scoop.it

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Harold Thwaites's curator insight, March 10, 2013 8:40 PM

No wonder we have trouble communicating. Complexity strikes again.

Rob Hatfield, M.Ed.'s curator insight, March 10, 2013 9:02 PM

Thank you for sharing.

AlGonzalezinfo's curator insight, March 11, 2013 6:17 AM

Fantastic graphic and scoop Christine.  Thanks!

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[1303.0045] The Mesh of Civilizations and International Email Flows

In The Clash of Civilizations, Samuel Huntington argued that the primary axis of global conflict was no longer ideological or economic but cultural and religious, and that this division would characterize the "battle lines of the future." In contrast to the "top down" approach in previous research focused on the relations among nation states, we focused on the flows of interpersonal communication as a bottom-up view of international alignments. To that end, we mapped the locations of the world's countries in global email networks to see if we could detect cultural fault lines. Using IP-geolocation on a worldwide anonymized dataset obtained from a large Internet company, we constructed a global email network. In computing email flows we employ a novel rescaling procedure to account for differences due to uneven adoption of a particular Internet service across the world. Our analysis shows that email flows are consistent with Huntington's thesis. In addition to location in Huntington's "civilizations," our results also attest to the importance of both cultural and economic factors in the patterning of inter-country communication ties."

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Physics of Self-Organization and Evolution: Werner Ebeling, Rainer Feistel

This thoroughly updated version of the German authoritative work on self-organization has been completely rewritten by internationally renowned experts and experienced book authors to also include a review of more recent literature. It retains the original enthusiasm and fascination surrounding thermodynamic systems far from equilibrium, synergetics, and the origin of life, representing an easily readable book and tutorial on this exciting field.
The book is unique in covering in detail the experimental and theoretical fundamentals of self-organizing systems as well as such selected features as random processes, structural networks and multistable systems, while focusing on the physical and theoretical modeling of natural selection and evolution processes. The authors take examples from physics, chemistry, biology and social systems, and include results hitherto unpublished in English.

 

The result is a one-stop resource relevant for students and scientists in physics or related interdisciplinary fields, including mathematical physics, biophysics, information science and nanotechnology.


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Quantum computing moves forward

Quantum computing moves forward | Information, Complexity, Computation | Scoop.it
New technologies that exploit quantum behavior for computing and other applications are closer than ever to being realized due to recent advances, according to a review article published this week in the journal Science.

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The Power of Networks

The Power of Networks | Information, Complexity, Computation | Scoop.it
The World Economic Forum (WEF) is a Geneva-based non-profit organization best known for its Annual Meeting in Davos, Switzerland, the Annual Meeting of New Champions in China (Summer Davos) and the Summit on the Global Agenda in Dubai.
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