Complexity & Self-Organizing Systems
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Complexity & Self-Organizing Systems
Exploring the self-organizing dynamics of interactive entities
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Steven Strogatz - Nonlinear Dynamics and Chaos: Part 5 - YouTube

Synchronized Chaos and Private Communications, with Kevin Cuomo, MIT Lincoln Laboratory

Via Claudia Mihai, Marinella De Simone
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The Use of Haiku to Convey Complex Concepts in Neuroscience

The Use of Haiku to Convey Complex Concepts in Neuroscience | Complexity & Self-Organizing Systems | Scoop.it

Conveying scientific content with accuracy and fluency takes practice and requires deep understanding of the concepts being conveyed. This depth of knowledge comes from internalizing information and constructing it into a form that is unique and coherent to the individual. Often in science classrooms there is little or no opportunity for students to practice this type of thinking, activities that we believe are fundamental to effective science communication. This article describes the use of haiku – a 17 syllable poem – as a means for students to convey neurobiological concepts in a succinct manner by forcing them to focus on the most salient features of the observed processes. In our assignments haiku writing was successfully paired with explanations of the students’ thought processes (Addiction course) or the scientific evidence to support claims (Neurodegenerative Disease course). We provide examples of student haiku and explanations as evidence of the power of this approach. The coupling of poetry and prose together create rich, accurate descriptions of scientific phenomena by encouraging higher-order thinking. Poetry writing can thus be used across the curriculum to forge comprehension of complex ideas in any discipline and to bridge the arts and the sciences.


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▶ On the Nature of Causality in Complex Systems, George F.R. Ellis - YouTube

Big Bang cosmology, chemical and biological evolutionary theory, and associated sciences have been extraordinarily successful in revealing and enabling us to understand the development of the universe from the Planck era to the present, as well as the emergence of complexity, life, and consciousness here on Earth. After briefly sketching this amazing story, and the key characteristics of nature, this paper will reflect on the different types and levels of causality involved -- stressing the important and pervasive role of highly differentiated and dynamic relationships and networks of relationships. Philosophical considerations build on and enrich scientific ones to probe these relationships. They also take us beyond the limits of strictly scientific methodology to consider and model -- however inadequately -- the ultimate sources of existence and order. This is the issue of creation, which introduces another very different -- and transcendent -- level of causality. We show that this is compatible with the -- and even essential to -- the causalities operative in nature, including those of quantum cosmology, if we acknowledge the limits of physics.

This lecture was delivered by George Ellis during the 16th Kraków Methodological Conference "The Causal Universe", May 17-18, 2012.


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António F Fonseca's curator insight, January 25, 2014 5:57 AM

Very interesting from the philosophical point of view.

Zaphod Beeblebrox's curator insight, January 30, 2014 1:39 PM

This really brings up the question - what is the nature of choice inherent in the universe?  If causality defines itself as the operation of a cause onto a single, definable effect, then how does it relate to the POSSIBILITES that exist as a consequence of probability and human limitation?  In other words, can physics be the perpatrator of - and therefore the potential predictor of - what can be viewed as choice as an inexorable consequence of the surrounding conditions?

Eli Levine's curator insight, March 25, 2014 10:59 PM

I've said it several times before.

 

It's going to take a change in the logic of politics, a different program, as it were, to operate and produce a new base level of hardware.  We are bound by some of the lower levels of physics, biology and psychology and the realities of the economic market.  These are the lower level, mechanistic laws that have to be obeyed first, in order to realize what ought to be a common goal of leading relatively happy, prosperous, sustainable and resilient lives.

 

But the politics, by engaging in a different logic that's not meant to benefit only the well to do, will ultimately save itself from collapse and destruction (ironically, the big goal for conservatives, who are so keen on implementing these boot-licking, elite worshipping and poor-punishing programs and policies) and produce a new effect from the established lower level laws that could, potentially, mitigate against major economic and social collapses that, ultimately, ruins the politics as well.

 

Way cool stuff here.  Very relevant for government and governing policy.

 

Think about it.

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Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile | Yaneer Bar-Yam

Complexity Rising: From Human Beings to Human Civilization, a Complexity Profile | Yaneer Bar-Yam | Complexity & Self-Organizing Systems | Scoop.it

It is generally recognized that life is becoming more complex. This article analyzes the 
human social environment using the "complexity profile," a mathematical tool for 
characterizing the collective behavior of a system. The analysis is used to justify the 
qualitative observation that complexity of existence has increased and is increasing. The 
increase in complexity is directly related to sweeping changes in the structure and 
dynamics of human civilization—the increasing interdependence of the global economic 
and social system, and the instabilities of dictatorships, communism and corporate 
hierarchies. Our complex social environment is consistent with identifying global human 
civilization as an organism capable of complex behavior that protects its components 
(us) and which should be capable of responding effectively to complex environmental 
demands


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Lorien Pratt's curator insight, January 25, 2014 9:47 PM

This is so important!  We all feel that things are becoming more complex, now here's some evidence to show we're right. And as we suspected, it comes from increasing interdependence and "sweeping changes in the structure and dynamics of civilization".   Thought so!

Eli Levine's curator insight, February 5, 2014 4:34 PM

You see this in the devolution of religion from hierarchically based forms of morality.

 

Or on the decentralization of wealth from a handful of individuals to the general masses.

 

Or the collaborative work of government, rather than the command and control central systems that dominated the 20th century.

 

We're evolving.

 

And we've only begun this journey.

 

Think about it.

Anastasia Baranowski's curator insight, April 3, 2014 2:40 PM

Dear Sirs,

 

I think that people from different nationalities have to have marriages between different nationalities. The idea is multinational planet, where people live everywhere they want and they don't have any ideas of nationalizm or rasism. In this case all people can live in peace and harmony. No wars, only worldwide police. Economical development is possible only if people from different countries can come to each other and co-operate. The most important problem behind the human race is ecological! All people on the planet have to co-operate and communicate and help each other to save the planet and themselves and future generations!

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How to write a scientific paper

Here is a suggestion of the components and sections that commonly go into a scientific paper. Note that none of the sections in between Introduction and References is strictly necessary: here you should adapt the scheme to your own subject and approach, and choose different headings for your sections. For example, theoretical papers will normally not have a "methodology"  or "results" section, but are likely to have a more extensive review of the literature, and development of the arguments.  

 

http://ecco.vub.ac.be/?q=node/67


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Complexity Digest's curator insight, December 9, 2013 12:57 PM

Advice from Francis Heylighen.

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The Hidden Geometry of Complex, Network-Driven Contagion Phenomena

The global spread of epidemics, rumors, opinions, and innovations are complex, network-driven dynamic processes. The combined multiscale nature and intrinsic heterogeneity of the underlying networks make it difficult to develop an intuitive understanding of these processes, to distinguish relevant from peripheral factors, to predict their time course, and to locate their origin. However, we show that complex spatiotemporal patterns can be reduced to surprisingly simple, homogeneous wave propagation patterns, if conventional geographic distance is replaced by a probabilistically motivated effective distance. In the context of global, air-traffic–mediated epidemics, we show that effective distance reliably predicts disease arrival times. Even if epidemiological parameters are unknown, the method can still deliver relative arrival times. The approach can also identify the spatial origin of spreading processes and successfully be applied to data of the worldwide 2009 H1N1 influenza pandemic and 2003 SARS epidemic.

 

The Hidden Geometry of Complex, Network-Driven Contagion Phenomena
Dirk Brockmann, Dirk Helbing

Science 13 December 2013:
Vol. 342 no. 6164 pp. 1337-1342
http://dx.doi.org/10.1126/science.1245200


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ComplexInsight's curator insight, December 31, 2013 3:59 AM

This is an awesome insight that needs tested across other datasets to find out how universal it is. Good paper.

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Complex Systems Science as a New Transdisciplinary Science, by Paul Bourgine

Complex Systems Science as a New Transdisciplinary Science, by Paul Bourgine | Complexity & Self-Organizing Systems | Scoop.it

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 (...)


Via NESS
Complexity Institute's insight:

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?

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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.

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

Future is here!!!

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HeadCon '13: WHAT'S NEW IN SOCIAL SCIENCE? | Edge.org

HeadCon '13: WHAT'S NEW IN SOCIAL SCIENCE? | Edge.org | Complexity & Self-Organizing Systems | Scoop.it

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FastTFriend's curator insight, November 9, 2013 2:25 AM

Video talks starting Monday, November 11th.

 

"What's new in your field of social science in the last year or two, and why should I care? Why do I want or need to know about it?  How does it change my view of human nature?"


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1st Complexity Management Winter Lab - Network Analysis

1st Complexity Management Winter Lab - Network Analysis | Complexity & Self-Organizing Systems | Scoop.it
1st  Complexity Management Winter Lab - Methods & Tools -  «TEORIA DELLA COMPLESSITA’ E ANALISI DELLE RETI» Applicazioni e declinazioni in ambito manageriale Gli innumerevoli modi in cui le str...
Complexity Institute's insight:

La complessità è un nuovo e potente punto di vista sistemico delle relazioni organizzative e di business fondato sulla consapevolezza della interdipendenza delle azioni manageriali e della emergenza bottom-up dei fenomeni aziendali.

In tempi di elevata incertezza è necessario conoscere ed adottare nuove tecniche di governo e di co-solution delle problematiche organizzative. Le organizzazioni si comportano come una rete neuronale. Le persone sono come i neuroni che si collegano tra di loro accendendo pensieri ed emozioni: dalla loro interazione emergono idee, azioni, decisioni, progetti. Non sempre però ci è visibile ciò che sta effettivamente accadendo nella rete organizzativa. Si possono fare errori, scegliere strade sbagliate o impiegare tempi lunghi per decisioni che potrebbero essere più rapide, più consapevoli, meno onerose e più efficaci.

L’analisi di rete è un potente tool per presidiare e modificare con successo ambienti ad elevata complessità.

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La Community del Complexity... si confronta su: "La Teoria della Complessità"

La Community del Complexity... si confronta su: "La Teoria della Complessità" | Complexity & Self-Organizing Systems | Scoop.it

L'Architettura della Complessità - Per una teoria dei sistemi complessi 

Complexity Institute's insight:

Dibattito su: “La Teoria della Complessità”: esiste una teoria della complessità o si tratta piuttosto di più approcci che confluiscono in un’unica visione di insieme? Cosa hanno in comune i frattali con l’orlo del caos, le reti con l’auto-organizzazione, la sincronia con il cigno nero?

Il dibattito sarà condotto da Marinella De Simone – Presidente del Complexity Institute – e da Enrico Reboscio, imprenditore ed appassionato di sistemi complessi.

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Analogy as the Core of Cognition

In this Presidential Lecture, cognitive scientist Douglas Hofstadter examines the role and contributions of analogy in cognition, using a variety of analogie...

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FastTFriend's curator insight, October 31, 2013 3:52 AM

And here is the video..:)

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The Man Who Would Teach Machines to Think

The Man Who Would Teach Machines to Think | Complexity & Self-Organizing Systems | Scoop.it
Douglas Hofstadter, the Pulitzer Prize–winning author of Gödel, Escher, Bach, thinks we've lost sight of what artificial intelligence really means. His stubborn quest to replicate the human mind.

Via Ben van Lier, Bernard Ryefield, FastTFriend
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Grazing Management Must Respond To An Ever-changing, Complex Landscape ... - PR Web (press release)

Grazing Management Must Respond To An Ever-changing, Complex Landscape ... - PR Web (press release) | Complexity & Self-Organizing Systems | Scoop.it
Grazing Management Must Respond To An Ever-changing, Complex Landscape ...
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Eric Berlow: Simplifying complexity

Ecologist Eric Berlow doesn't feel overwhelmed when faced with complex systems. He knows that more information can lead to a better, simpler solution.

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António F Fonseca's curator insight, January 1, 2014 7:16 AM

"Complexity is not allways complicated"

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Physicists discover 'clearest evidence yet' that the Universe is a hologram

Physicists discover 'clearest evidence yet' that the Universe is a hologram | Complexity & Self-Organizing Systems | Scoop.it
A team of physicists have provided what has been described by the journal Nature as the “clearest evidence yet” that our universe is a hologram.

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2014 Proposal Workspace - MIT Climate CoLab

In this workspace, you can submit your proposal on what you think should be done to address global climate change. Try out new ideas, connect with other members, recruit collaborators, share your work, engage support, and invite a global community to review and help develop your proposal. This is just to get you started. When we release the 2014 round of Climate CoLab contests, you will be able to move your proposals from here to any relevant contest. All submissions are welcome: technologies, policies, products, public outreach campaigns, educational programs, economic models, community projects; new ideas or improvements on something that already exists; addressing climate change mitigation, adaptation, or geoengineering; local, regional, national, or global in scope.


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How far should we trust scientific models? – Jon Turney – Aeon

How far should we trust scientific models? – Jon Turney – Aeon | Complexity & Self-Organizing Systems | Scoop.it
In economics, climate science and public health, computer models help us decide how to act. But can we trust them?

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luiy's curator insight, December 17, 2013 4:23 AM

Here’s a simple recipe for doing science. Find a plausible theory for how some bits of the world behave, make predictions, test them experimentally. If the results fit the predictions, then the theory might describe what’s really going on. If not, you need to think again. Scientific work is vastly diverse and full of fascinating complexities. Still, the recipe captures crucial features of how most of it has been done for the past few hundred years.

 

Now, however, there is a new ingredient. Computer simulation, only a few decades old, is transforming scientific projects as mind-bending as plotting the evolution of the cosmos, and as mundane as predicting traffic snarl-ups. What should we make of this scientific nouvelle cuisine? While it is related to experiment, all the action is in silico — not in the world, or even the lab. It might involve theory, transformed into equations, then computer code. Or it might just incorporate some rough approximations, which are good enough to get by with. Made digestible, the results affect us all.

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SFI MOOC: Introduction to Dynamical Systems and Chaos

SFI MOOC: Introduction to Dynamical Systems and Chaos | Complexity & Self-Organizing Systems | Scoop.it

This course will begin on January 6, 2014.  If you are enrolled, you will receive email notification that the course has started. 
In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time. 
Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.

 

Introduction to Dynamical Systems and Chaos (Winter, 2014)
Instructor: David Feldman

http://www.complexityexplorer.org/online-courses/4


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On Managing Complexity | The Drucker Exchange | Daily Blog by ...

On Managing Complexity | The Drucker Exchange | Daily Blog by ... | Complexity & Self-Organizing Systems | Scoop.it
Drucker on the Dial” chats with participants of the Global Peter Drucker Forum on "Managing Complexity."
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The magic of Fibonacci numbers

Math is logical, functional and just ... awesome. Mathemagician Arthur Benjamin explores hidden properties of that weird and wonderful set of numbers, the Fibonacci series. (And reminds you that mathematics can be inspiring, too!

Via Jorge Louçã, Complexity Digest
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Ants 2014: Ninth International Conference on Swarm Intelligence

Ants 2014: Ninth International Conference on Swarm Intelligence | Complexity & Self-Organizing 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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Emergono schemi dentro schemi...

Emergono schemi dentro schemi... | Complexity & Self-Organizing Systems | Scoop.it

L’approccio complesso si potrebbe definire come la ricerca di schemi dentro altri schemi. Per riconoscere gli schemi – o pattern – è necessario avere una visione di insieme: più si va nel dettaglio, più lo schema scompare. 

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Fuori dai recinti del certo e del prevedibile

Fuori dai recinti del certo e del prevedibile | Complexity & Self-Organizing Systems | Scoop.it

Ad ogni passo della nostra vita ci confrontiamo con i limiti legati alla certezza di un “piano finito” – quello dei saperi esistenti – e di un “tempo chiuso” – quello della prevedibilità. Per poter scoprire, per poter generare il nuovo, occorre avventurarsi al di fuori dei recinti del certo e del prevedibile, essere disposti all’errore ed a nuovi tentativi.

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Simposio Complejidad y Multidisciplina: El Centro de Ciencias de la Complejidad de la UNAM

Simposio Complejidad y Multidisciplina: El Centro de Ciencias de la Complejidad de la UNAM | Complexity & Self-Organizing Systems | Scoop.it

El Centro de Ciencias de la Complejidad (C3) tiene el placer de organizar un evento para un amplio público con ponentes invitados nacionales e internacionales con el objetivo de mostrar los beneficios que el enfoque de la complejidad ha logrado en diversas áreas, incluyendo sistemas biológicos, sociales, culturales y tecnológicos. Durante el evento también se presentarán los distintos programas de investigación que se están desarrollando en el C3 y el proyecto del nuevo edificio del C3 en Ciudad Universitaria. Con este simposio se invita a la comunidad universitaria a participar y colaborar en el desarrollo de proyectos y la resolución de problemas en campos múltiples usando las herramientas que ofrecen las ciencias de la complejidad.

 

Simposio Complejidad y Multidisciplina El Centro de Ciencias de la Complejidad de la UNAM (4, 5 y 6 de noviembre, 2013) Auditorio Alfonso Caso, Ciudad Universitaria
http://c3.unam.mx/simposio


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The Embarrassment of Complexity

The Embarrassment of Complexity | Complexity & Self-Organizing Systems | Scoop.it
Integrative thinking can help us focus on the smaller picture, and still comprehend the larger one.

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Philippe Vallat's curator insight, October 11, 2013 4:27 AM

Citation: "Let us be clear: No human group can survive, let alone effectively cooperate, without being able to develop a shared outlook on the world which is the precondition for acting together. But it is also the case that social groups thrive by making room for plurality, dissenting voices, and different perspectives."