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Hypernetworks in the Science of Complex Systems (by Jeffrey Johnson)

Hypernetworks in the Science of Complex Systems (Series on Complexity Science)

~ Jeffrey Johnson (author) More about this product
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The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams.

This volume makes an important contribution to the science of complex systems by:
(i) extending network theory to include dynamic relationships between many elements;
(ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii)
providing a new methodological approach to analyze complex systems; and
(iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application.


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june holley's curator insight, March 24, 2014 8:36 AM

A little pricey but breakthrough stuff here...

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Swarming in Biological and Related Systems

Swarming in Biological and Related Systems | Edgar Analytics & Complex Systems | Scoop.it

In the last 15 years, the collective motion of large numbers of self-propelled objects has become an increasingly active area of research. The examples of such collective motion abound: flocks of birds, schools of fish, swarms of insects, herds of animals etc. Swarming of living creatures is believed to be critical for the population survival under harsh conditions. The ability of motile microorganisms to communicate and coordinate their motion leads to the remarkably complex self-organized structures found in bacterial biofilms. Active intracellular transport of biological molecules within the cytoskeleton has a profound effect on the cell cycle, signaling and motility. In recent years, significant progress has also been achieved in the design of synthetic self-propelled particles. Their collective motion has many advantages for performing specific robotic tasks, such as collective cargo delivery or harvesting the mechanical energy of chaotic motion.

(...)

In this focus issue we have tried to assemble papers from leading experts which we hope will provide a current snapshot of this young and rapidly expanding field of research. They cover both theoretical and experimental investigations of the dynamics of active matter on different spatial and temporal scales.

 

Focus on Swarming in Biological and Related Systems
Lev Tsimring, Hugues Chate, Igor Aronson

2014 New J. Phys. 16

http://iopscience.iop.org/1367-2630/focus/Focus%20on%20Swarming%20in%20Biological%20and%20Related%20Systems


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Swarming in Biological and Related Systems

Swarming in Biological and Related Systems | Edgar Analytics & Complex Systems | Scoop.it

In the last 15 years, the collective motion of large numbers of self-propelled objects has become an increasingly active area of research. The examples of such collective motion abound: flocks of birds, schools of fish, swarms of insects, herds of animals etc. Swarming of living creatures is believed to be critical for the population survival under harsh conditions. The ability of motile microorganisms to communicate and coordinate their motion leads to the remarkably complex self-organized structures found in bacterial biofilms. Active intracellular transport of biological molecules within the cytoskeleton has a profound effect on the cell cycle, signaling and motility. In recent years, significant progress has also been achieved in the design of synthetic self-propelled particles. Their collective motion has many advantages for performing specific robotic tasks, such as collective cargo delivery or harvesting the mechanical energy of chaotic motion.

(...)

In this focus issue we have tried to assemble papers from leading experts which we hope will provide a current snapshot of this young and rapidly expanding field of research. They cover both theoretical and experimental investigations of the dynamics of active matter on different spatial and temporal scales.

 

Focus on Swarming in Biological and Related Systems
Lev Tsimring, Hugues Chate, Igor Aronson

2014 New J. Phys. 16

http://iopscience.iop.org/1367-2630/focus/Focus%20on%20Swarming%20in%20Biological%20and%20Related%20Systems


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▶ Chaos, Complexity, and Public Policy

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."

 

http://www.youtube.com/watch?v=KXxs-JtvkkQ


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Eli Levine's curator insight, February 11, 2014 2:09 PM

A way cool panel discussion.  I wish I could be a full practitioner of this new, empirically based governing and political strategic thinking.

Liz Rykert's curator insight, February 12, 2014 10:34 AM

Loving these new video resources for understanding complexity and it applications.

Luciano Lampi's curator insight, March 23, 2014 9:16 PM

are our politicians aware of these concepts?

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iPop: How Big Data Will Transform Coaching in the NBA - Bleacher Report

iPop: How Big Data Will Transform Coaching in the NBA - Bleacher Report | Edgar Analytics & Complex Systems | Scoop.it
Bleacher Report iPop: How Big Data Will Transform Coaching in the NBA Bleacher Report And so as the game becomes more data-centric, a strange possibility is creeping into view: Like mortgage appraising, high-frequency trading and assessing credit...
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On 6 Feb @Cloudera Hosts Third Annual Federal Forum - Analyst One

On 6 Feb @Cloudera Hosts Third Annual Federal Forum - Analyst One | Edgar Analytics & Complex Systems | Scoop.it
On 6 Feb @Cloudera Hosts Third Annual Federal Forum: For the Analyst, Data Scientist, #BigData Technologist in DC ...
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Customer Science in the Big Data World

Machar Smith from dunnhumby talks about customer insight analysis and the work they do for Tesco at The OR Society's Careers Open Day 2013.
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Complex Systems Science as a New Transdisciplinary Science, by Paul Bourgine

The new science of complex systems will be at the heart of the future of the Worldwide Knowledge Society. It is providing radical new ways of understanding the physical, biological, ecological, and techno-social universe. Complex Systems are open, value-laden, multi-level, multi-component, reconfigurable systems of systems, situated in turbulent, unstable, and changing environments. They evolve, adapt and transform through internal and external dynamic interactions. They are the source of very difficult scientific challenges for observing, understanding, reconstructing and predicting their multi-scale dynamics. The challenges posed by the multi-scale modelling of both natural and artificial adaptive complex systems can only be met with radically new collective strategies for research and teaching (...)


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june holley's curator insight, December 2, 2013 10:39 AM

The study of complex systems adds a lot of depth to understanding networks.

Complexity Institute's curator insight, December 6, 2013 3:56 AM

Are we ready to recognize a Science as a "Transdisciplinary Science?
Complex systems science is not a science in itself, but it may be considered as a 'Science of Sciences'.
I think this is the most challenging issue to face for a Worldwide Knowledge Society, as Paul Bourgine states.
What are your opinions about this?

Edgar Francisco Pelayo Valencia's curator insight, December 20, 2013 5:26 PM

Future is here!!!

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Data Preparation – Part I

Data Preparation – Part I | Edgar Analytics & Complex Systems | Scoop.it
(This article was first published on Flavio Barros » r-bloggers, and kindly contributed to R-bloggers)
The R language provides tools for modeling and visualization, but is still an excellent tool for handling/preparing data.

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Assessing the Fed’s CCAR Scenarios

Mark Zandi and the Moody's Analytics team dissect the CCAR scenarios and consider both the possible narratives driving them and their probability of occurring
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Evolution in a Finite World

Evolution in a Finite World | Edgar Analytics & Complex Systems | Scoop.it

Sex is ubiquitous. The vast majority of animals and plants reproduce sexually at least some of the time. Some, such as humans, can reproduce no other way. Figuring out why sex is so common, though, has been a longstanding challenge for evolutionary biologists.
The problem is that, as a reproductive strategy, sex seems wasteful. The mere fact that you have survived to adulthood means that you are reasonably well adapted to your environment, and it is not at all clear that reshuffling your genes with those of someone else will lead to anything as good, let alone better. Furthermore, a female who reproduces asexually by making diploid eggs passes roughly twice as much of her genetic material on to the next generation as does one who reproduces sexually. Overall, cloning yourself would seem to be the way to go.

 

http://nautil.us/issue/7/waste/evolution-in-a-finite-world


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The "Homo Socialis" and Its Implications

Dirk Helbing, ETH Zürich.

http://vimeo.com/78344377


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Claude Emond's curator insight, January 20, 2014 5:55 PM

Can we be Homo Socialis without being also Homo Agilis ??? :)

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Forbes on putting R-based analytics in the hands of business analysts

Forbes on putting R-based analytics in the hands of business analysts | Edgar Analytics & Complex Systems | Scoop.it
(This article was first published on Revolutions, and kindly contributed to R-bloggers) Forbes has published an article today on the integration between Alteryx and Revolution R Enterprise, which gives business analysts the ability to drag...

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Signals and Boundaries: Building Blocks for Complex Adaptive Systems (by John H. Holland)

Signals and Boundaries: Building Blocks for Complex Adaptive Systems

~ John H. Holland (author) More about this product
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Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies.

Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.


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Costas Bouyioukos's curator insight, March 18, 2014 1:41 PM

John Holland's new book!

António F Fonseca's curator insight, March 23, 2014 5:23 AM

Why communicate, why not, for example, just command?

june holley's curator insight, March 23, 2014 7:43 AM

Just got this. His stuff is usually excellent so I have high hopes.

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Swarming in Biological and Related Systems

Swarming in Biological and Related Systems | Edgar Analytics & Complex Systems | Scoop.it

In the last 15 years, the collective motion of large numbers of self-propelled objects has become an increasingly active area of research. The examples of such collective motion abound: flocks of birds, schools of fish, swarms of insects, herds of animals etc. Swarming of living creatures is believed to be critical for the population survival under harsh conditions. The ability of motile microorganisms to communicate and coordinate their motion leads to the remarkably complex self-organized structures found in bacterial biofilms. Active intracellular transport of biological molecules within the cytoskeleton has a profound effect on the cell cycle, signaling and motility. In recent years, significant progress has also been achieved in the design of synthetic self-propelled particles. Their collective motion has many advantages for performing specific robotic tasks, such as collective cargo delivery or harvesting the mechanical energy of chaotic motion.

(...)

In this focus issue we have tried to assemble papers from leading experts which we hope will provide a current snapshot of this young and rapidly expanding field of research. They cover both theoretical and experimental investigations of the dynamics of active matter on different spatial and temporal scales.

 

Focus on Swarming in Biological and Related Systems
Lev Tsimring, Hugues Chate, Igor Aronson

2014 New J. Phys. 16

http://iopscience.iop.org/1367-2630/focus/Focus%20on%20Swarming%20in%20Biological%20and%20Related%20Systems


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Opening up open data: An interview with Tim O’Reilly

Opening up open data: An interview with Tim O’Reilly | Edgar Analytics & Complex Systems | Scoop.it

We’re increasingly living in a world of black boxes. We don’t understand the way things work. And open-source software, open data are critical tools. We see this in the field of computer security. People say, “Well, we have to keep this secret.” Well, it turns out that the strongest security protocols are those that are secure even when people know how they work.
Secrecy is actually, it turns out, a fairly weak way of being secure. And I think in a similar way, we have to understand who owns the rules, how are they driven, how are they guiding our behavior. And there may be cases where you say, “Well, actually it’s a reasonable trade-off to have some degree of secrecy.”
We have this with trade secrets all the time in the commercial world. But there are other areas where we should say, “No, we really need to know how this works.”

 

http://www.mckinsey.com/insights/business_technology/opening_up_open_data_an_interview_with_tim_o_reilly


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Being First Is Best: An Adventure Capitalist’s Approach to Life and Investing, A Conversation with Dean LeBaron

A self-described “adventure capitalist,”Dean LeBaron is the founder andformer chairman of BatterymarchFinancial Management, recognized as oneof the most innovative investment manage-ment firms in the industry. As an “investmentfuturist,” LeBaron was one of the first to see thepotential of quantitative investing, implement-ing computer-driven technology and modelingtechniques at Batterymarch to systematically analyze data, trade, and manage investment portfolios. Under LeBaron’s leadership, Batterymarch pioneered indexing as an investment strategy. An early adopter of a contrarian philosophy, LeBaron followed his own advice that “in the investment field, you should be where everyone else is not,” leading Batterymarch to become one of the earliest (or first) institutional investors in the emerging markets of China, India, and Latin America. His interest and work in Russia resulted from an invitation from the government of President Mikhail Gorbachev to help priva- tize the Soviet Union’s military industrial complex. With more than five decades of experience as an investment manager, LeBaron often has been the right man in the right place at the right time, following his maxim that “if the choice is limited to being best or being first, being first is often best.”http://www.imca.org/sites/default/files/current-issues/JIC/JIC142_MastersSeriesLebaron.pdf


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Complexity Digest's curator insight, February 14, 2014 4:48 PM
Dean Le Baron conceived and sponsored Complexity Digest since 1999. http://www.deanlebaron.com
Eli Levine's curator insight, February 18, 2014 11:51 PM

Very helpful advice.

 

It is the initial phases which begin the journey of a thousand steps in the long arc.

 

Too bad that it's so hard to change course when it was misfired in an incorrect or half-assed direction.

 

How to change that?

 

Think about it.

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With DeepMind, Google Prepares For A Future Where We See Ourselves In ... - TechCrunch

With DeepMind, Google Prepares For A Future Where We See Ourselves In ... - TechCrunch | Edgar Analytics & Complex Systems | Scoop.it
Telegraph.co.uk
With DeepMind, Google Prepares For A Future Where We See Ourselves In ...
TechCrunch
More intelligent computing means more insightful data gathering and analysis, of course.
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Announcing HP Earth Insights: Big Data analysis for the world's rainforests

HP Earth Insights is using Big Data to help scientists protect the most diverse habitats in the world. Using Vertica-powered analytics, HP is providing the f...
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Lambda architecture for real time big data

Lambda Architecture in Real-time Big Data Project Concepts & Techniques “Thinking with Lambda” Case study in some real projects Why lambda architecture is c
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What Big Data Means For Social Science

We've known big data has had big impacts in business, and in lots of prediction tasks. I want to understand, what does big data mean for what we do for science? Specifically, I want to think about the following context:  You have a scientist who has a hypothesis that they would like to test, and I want to think about how the testing of that hypothesis might change as data gets bigger and bigger. So that's going to be the rule of the game. Scientists start with a hypothesis and they want to test it; what's going to happen?

 


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Ants 2014: Ninth International Conference on Swarm Intelligence

Ants 2014: Ninth International Conference on Swarm Intelligence | Edgar Analytics & Complex Systems | Scoop.it

September10-12,  2014.  Brussels, Belgium

http://iridia.ulb.ac.be/ants2014

 

Swarm intelligence is a relatively new discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed many models to explain interesting aspects of social insect behavior such as self-organization and shape-formation. Recently, algorithms inspired by these models have been proposed to solve difficult computational problems.
An example of a particularly successful research direction in swarm intelligence is ant colony optimization, the main focus of which is on discrete optimization problems. Ant colony optimization has been applied successfully to a large number of difficult discrete optimization problems including the traveling salesman problem, the quadratic assignment problem, scheduling, vehicle routing, etc., as well as to routing in telecommunication networks. Another interesting approach is that of particle swarm optimization, that focuses on continuous optimization problems. Here too, a number of successful applications can be found in the recent literature. Swarm robotics is another relevant field. Here, the focus is on applying swarm intelligence techniques to the control of large groups of cooperating autonomous robots.

ANTS 2014 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.


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june holley's curator insight, November 20, 2013 11:07 AM

This would be so interesting!

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Réflexions du soir sur la solvabilité et la mesure des risques...

Réflexions du soir sur la solvabilité et la mesure des risques... | Edgar Analytics & Complex Systems | Scoop.it
Les évolutions récentes du dispositif prudentiel européen conduisent à passer d'une logique dans laquelle l'exigence de marge est calculée de manière très forfaitaire, cette simplicité s'accompagnant d'un certain nombre de contraintes imposées par...

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Complex Human Dynamics - From Mind to Societies, by Nowak, Winkowska-Nowak, and Bree

Complex Human Dynamics - From Mind to Societies, by Nowak, Winkowska-Nowak, and Bree | Edgar Analytics & Complex Systems | Scoop.it

This book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems. The aim is to provide scientists with different backgrounds - physics, applied mathematics and computer sciences - with the opportunity to apply the tools of their trade to an altogether new range of possible applications. At the same time, this book will serve as a first reference for a new generation of social scientists and psychologists wishing to familiarize themselves with the new methodology and the "thinking in complexity".


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Simulating Social Complexity: A Handbook (by Bruce Edmonds & Ruth Meyer)

Simulating Social Complexity: A Handbook (Understanding Complex Systems)

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Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems.

 Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society.

 

This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged.


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