Self-organizing s...
Follow
Find
2.2K views | +0 today
Self-organizing systems
Exploring the self-organizing dynamics of interactive entities
Your new post is loading...
Your new post is loading...
Scooped by Complexity Institute
Scoop.it!

Paradigm shift and the (non) future of schools

Paradigm shift and the (non) future of schools | Self-organizing systems | Scoop.it
I want to share some of my Sunday reading and listening with you. First a blog post by Dave Algoso on his blog "Find What Works": in the article Kuhn, Chambers and the future of international devel...
more...
No comment yet.
Rescooped by Complexity Institute from CxBooks
Scoop.it!

Regularity and Complexity in Dynamical Systems (by Albert C. J. Luo)

Regularity and Complexity in Dynamical Systems describes periodic and chaotic behaviors in dynamical systems, including continuous, discrete, impulsive,discontinuous, and switching systems. In traditional analysis, the periodic and chaotic behaviors in continuous, nonlinear dynamical systems were extensively discussed even if unsolved. In recent years, there has been an increasing amount of interest in periodic and chaotic behaviors in discontinuous dynamical systems because such dynamical systems are prevalent in engineering. Usually,the smoothening of discontinuous dynamical system is adopted in order to use the theory of continuous dynamical systems. However, such technique cannot provide suitable results in such discontinuous systems. In this book, an alternative way is presented to discuss the periodic and chaotic behaviors in discontinuous dynamical systems.

 

 


Via Complexity Digest
more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

L’origine dei Big Data - Fabbrica Futuro

L’origine dei Big Data - Fabbrica Futuro | Self-organizing systems | Scoop.it
Complexity Institute's insight:

Interessante articolo su eventuali applicazioni al management come processo bottom-up della conoscenza

more...
No comment yet.
Rescooped by Complexity Institute from Collective intelligence
Scoop.it!

What is systems thinking? Part II

What is systems thinking? Part II | Self-organizing systems | Scoop.it

Click here to edit the title


Via Viktor Markowski
more...
Viktor Markowski's curator insight, December 27, 2012 8:53 AM

If we are systems thinkers, we don’t lose the ability (or valuing of) analytical thinking; we are, however, extending ourselves in our abilities to apply both when applicable.  There may be something of a butterfly’s “essential being” that existed when it was a caterpillar, but I think we’d all agree that “caterpillar” and “butterfly” are two entirely different things.  ”Butterfly” is not merely “Caterpillar 2.0″; it is “butterfly”, incorporating some elements of, and transcending “caterpillar”, if you like.

 

It’s about working with things as integral wholes.  It’s about thinking bigger.  Water is inherently wet.  We cannot understand water’s wetness by breaking it down into its component parts; oxygen and hydrogen.  Neither of those elements has an inherent quality of “wetness”.  Similarly, with businesses, we cannot get a truly comprehensive understanding of them simply by breaking them down into their component parts.  Everything is connected to everything else and we are limited in our abilities to manage them effectively if we isolate “problem parts”.  Making a holistic assessment of the system will give us a bigger picture view that highlights strengths, inter-relationships, tensions, the forces at work (both from within and without the system) and areas of hope (where intervention can be applied).

 
Sue Hickton's curator insight, April 14, 12:51 AM

"If we are systems thinkers, we don’t lose the ability (or valuing of) analytical thinking; we are, however, extending ourselves in our abilities to apply both when applicable."

 

"Systems thinking is a fundamental change to business orthodoxy.  The assumptions we hold about the business of business mostly orient us to measure things that don’t matter and attack problems that are only really indicators of a systemic pattern.  We try to find answers for questions that are often irrelevant.  Time to think bigger"

Scooped by Complexity Institute
Scoop.it!

Identification boosts conflicts

Identification boosts conflicts | Self-organizing systems | Scoop.it

Identification boosts conflicts. A managerial paradox

 

A critical and complex perspective in managing business organizations’ identities dynamics

Dario Simoncini, Marinella De Simone NUOVA ATLANTIDE...

more...
No comment yet.
Rescooped by Complexity Institute from Papers
Scoop.it!

Perspectives on a Hyperconnected World: Insights from the Science of Complexity

by the World Economic Forum’s Global Agenda Council on Complex Systems

 

Every day our world becomes more complex and dynamic. The global population continues to rise with urbanization occurring at an exponential rate. Economic growth brings people from diverse cultures and regions into contact with one another through increased trade and travel. The Internet and social media now seem to connect each person to everyone else, and to make information available to all.


Via Complexity Digest
more...
Ellie Kesselman Wells's comment, January 27, 2013 10:43 AM
They were quite wise not to explicitly mention Davos. This is what should be discussed at Davos, not celebrity photos! Thank you for sharing with us, Dr. Nooo!
Rescooped by Complexity Institute from Sytems Dynamics and Policy
Scoop.it!

System Dynamics #2 – A Simple US Economic Model ...

System Dynamics #2 – A Simple US Economic Model ... | Self-organizing systems | Scoop.it

We have discussed many concepts in regard to how the monetary system really works. I finally hit the brain overload point and decided that I needed to draw a diagram and capture some of the basic concepts.


Via Jeff Beddow
more...
No comment yet.
Rescooped by Complexity Institute from Papers
Scoop.it!

Emergent Sensing of Complex Environments by Mobile Animal Groups

Emergent Sensing of Complex Environments by Mobile Animal Groups | Self-organizing systems | Scoop.it

Science 1 February 2013: 
Vol. 339 no. 6119 pp. 574-576 
DOI: 10.1126/science.1225883

 

ABSTRACT

The capacity for groups to exhibit collective intelligence is an often-cited advantage of group living. Previous studies have shown that social organisms frequently benefit from pooling imperfect individual estimates. However, in principle, collective intelligence may also emerge from interactions between individuals, rather than from the enhancement of personal estimates. Here, we reveal that this emergent problem solving is the predominant mechanism by which a mobile animal group responds to complex environmental gradients. Robust collective sensing arises at the group level from individuals modulating their speed in response to local, scalar, measurements of light and through social interaction with others. This distributed sensing requires only rudimentary cognition and thus could be widespread across biological taxa, in addition to being appropriate and cost-effective for robotic agents.

 


Via Complexity Digest
more...
Shady El Damaty's curator insight, February 4, 2013 3:22 AM

Fascinating paper published in February's edition of Science. We often consider intelligence as an emergent phenomena at the scale of individual organisms.  Yet, complex social systems and structures may also exhibit behavior reflecting the predispositions of its members as a whole.  Perhaps we can view the dynamics of societies from this scaled perspective to better understand the issues facing our modern society.

Rescooped by Complexity Institute from Change - Leadership - Persönlichkeitsentwicklung - Führungstraining
Scoop.it!

Systems Thinking as a Spiritual Practice

Systems Thinking as a Spiritual Practice | Self-organizing systems | Scoop.it

David Peter Stroh hits the nail on the head with his recent post on the relationship between systems thinking and spiritual practice on the Leverage Points Blog.  Our ways of seeing and ways of being are profoundly affected by our interior condition.  Many aspects of systems thinking are deeply aligned with the wisdom of many spiritual traditions.


Via Philippe Vallat, Heinz Peter Wallner
more...
Philippe Vallat's curator insight, January 22, 2013 11:56 PM

Very interesting and inspiring paper!

Scooped by Complexity Institute
Scoop.it!

Everything is connected

Everything is connected | Self-organizing systems | Scoop.it
WHEN dozens of countries refused to sign a new global treaty on internet governance in late 2012, a wide range of activists rejoiced. They saw the treaty, crafted...
more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

Il segreto della buona musica è un ritmo frattale - Le Scienze

Il segreto della buona musica è un ritmo frattale - Le Scienze | Self-organizing systems | Scoop.it

Secondo i risultati dell'analisi di 558 composizioni musicali è emerso che anche per il ritmo vale quanto già scoperto per l'altezza dei suoni: la musica risulta piacevole quando ha una struttura frattale che permette di realizzare un equilibrio dinamico fra prevedibilità e sorpresa

more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

Modelli di previsione, dal meteo all'influenza - Le Scienze

Modelli di previsione, dal meteo all'influenza - Le Scienze | Self-organizing systems | Scoop.it

Presto sapremo prevedere un picco influenzale con diverse settimane di anticipo. Lo suggerisce una simulazione su dati storici che sfrutta modelli numerici efficaci per le previsioni del tempo. Shama e Karspeck hanno usato questo approccio tenendo conto delle forti analogie delle epidemie con il meteo. In  termini teorici, infatti, la dinamica delle malattie infettive, proprio come quella del tempo, è non lineare e intrinsecamente caotica,  perché dipende in modo critico dalle condizioni iniziali:  due stati che in un certo momento sono molto simili col passare del  tempo possono dare origine a stati molto diversi tra loro.

more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

Maxi San Miguel - 'What do we learn from simple models of social behavior?' - ASSYSTComplexity

Maxi San Miguel - 'What do we learn from simple models of social behavior?' - ASSYSTComplexity | Self-organizing systems | Scoop.it
Maxi San Miguel - `What do we learn from simple models of social behavior?`
When does a social group reach agreement by imitation processes?
more...
No comment yet.
Rescooped by Complexity Institute from Big Data and Information
Scoop.it!

19th Century French Artists Predicted The World Of The Future In This Series Of Postcards

19th Century French Artists Predicted The World Of The Future In This Series Of Postcards | Self-organizing systems | Scoop.it
If you’ve ever struggled to imagine how life will change over the next century thanks to technology, take comfort — you’re not alone. Over 100 year ago, some French artists tried to do the same thing.

Via Harold Thwaites, Eugene Ch'ng
more...
Harold Thwaites's curator insight, March 11, 2013 6:01 AM

Some true imagination at work in the 19th Century. With of course a lot of help from Jules Verne. Great images!

Scooped by Complexity Institute
Scoop.it!

Whose Paradigm Counts? Guest Post 1 of 2 By Robert Chambers

Whose Paradigm Counts? Guest Post 1 of 2 By Robert Chambers | Self-organizing systems | Scoop.it
Last year I wrote a paper called Paradigms, Poverty and Adaptive Pluralism. In it I explored how technological advances and complexity sciences were together helping to reframe a longstanding divid...
more...
No comment yet.
Rescooped by Complexity Institute from Collective intelligence
Scoop.it!

What is systems thinking - part III

What is systems thinking - part III | Self-organizing systems | Scoop.it

John Wenger


Via Viktor Markowski
more...
Viktor Markowski's curator insight, January 4, 2013 2:13 AM

In both of these cases, systems thinking forces us to look at the whole, not the individual parts.  It is the job of the modern manager to re-vision their function from one of “controller” to one of “steward”.  The focus is on purpose, values and meaning.  What does this business exist to achieve or create in the world?  What values will guide us in doing this?  How is this meaningful for the people who work here?  It is the role of managers to ensure that the correct conditions exist for these things to be realised, not to tell people what to do.

Sue Hickton's curator insight, April 14, 12:57 AM

"We must stop ourselves from repeating old mistakes and develop our abilities to think bigger so that we can go further.  Hand in hand with this, we need also to develop greater ease with the complexity we will see before us and greater confidence to deal with being a little less certain about things.  The effects of the system are there, whether we decide to look or not. "

Rescooped by Complexity Institute from Collective intelligence
Scoop.it!

What is systems thinking? (Part I)

What is systems thinking? (Part I) | Self-organizing systems | Scoop.it

Via Viktor Markowski
more...
Viktor Markowski's curator insight, January 7, 2013 7:55 AM

Analytical thinking is hitting the laws of physics and has been found wanting.  The analytical mindset is at the foundation of our educational systems, our political systems, our financial systems and the business of business, all of which are reaching the end of their effectiveness in a world characterised by increasing complexity, volatility, uncertainty and ambiguity.  This is being felt by many, but the awareness of what underlies it is lagging behind, so in an effort to ameliorate chronically low employee engagement, increasingly low voter turnout at elections, poor customer loyalty, or low attainment at school, we deploy little tricks or try to invent new “tools” or “techniques”.  However, all the tools and techniques in the world are useless to really address these issues if they come out of the same old mechanistic, analytical mindset.  A more sophisticated mindset is required first.  A new kind of thinking, not a new trick devised out of old thinking, is required.

Rescooped by Complexity Institute from Papers
Scoop.it!

Video Article: Embracing Complexity

Video Article: Embracing Complexity | Self-organizing systems | Scoop.it

Your grade ten math teacher probably wrote this several times on your tests: SIMPLIFY. And, for much of science, that’s part of the work: SIMPLIFY. The universe can be broken down into smaller and smaller chunks in an attempt to find its most basic level and functions. But what do you do when that doesn’t work? Complex systems that defy reduction are all around us, from the elaborate workings of an ant colony—which could never be predicted from the physiology of a single ant—to fluctuations in the financial system that can send ripples around the globe. When broken into their constituent pieces, examined and put back together, such systems do not behave as expected. The sum of the parts does not equal the whole

 

Interview to Raissa D’Souza by Graeme Stemp Morlock

http://www.fqxi.org/community/articles/display/174

 


Via Complexity Digest
more...
starwalker's curator insight, January 28, 2013 1:17 AM

"I firmly believe networks become more interdependent in time," says D’Souza. "We see the global economy becoming more interdependent. We see Facebook making everyone more interconnected. We’re relying increasingly on technologies like the Internet and communications networks, for instance, the smart-grid, a cyber-physical system. All these networks that used to operate more independently are now becoming more interconnected, and to me that is really a signature of time."

Simon Gifford's curator insight, January 31, 2013 12:37 AM

Lengthy but interesting

Rescooped by Complexity Institute from Papers
Scoop.it!

Increased Network Interdependency Leads to Aging

Although species longevity is subject to a diverse range of selective forces, the mortality curves of a wide variety of organisms are rather similar. We argue that aging and its universal characteristics may have evolved by means of a gradual increase in the systemic interdependence between a large collection of biochemical or mechanical components. Modeling the organism as a dependency network which we create using a constructive evolutionary process, we age it by allowing nodes to be broken or repaired according to a probabilistic algorithm that accounts for random failures/repairs and dependencies. Our simulations show that the network slowly accumulates damage and then catastrophically collapses. We use our simulations to fit experimental data for the time dependent mortality rates of a variety of multicellular organisms and even complex machines such as automobiles. Our study suggests that aging is an emergent finite-size effect in networks with dynamical dependencies and that the qualitative and quantitative features of aging are not sensitively dependent on the details of system structure.

 

Increased Network Interdependency Leads to Aging

Dervis Can Vural, Greg Morrison, L. Mahadevan

http://arxiv.org/abs/1301.6375


Via Complexity Digest
more...
No comment yet.
Rescooped by Complexity Institute from CxAnnouncements
Scoop.it!

CFP: Springer CASM Special Issue on Modeling Large-scale Communication Networks


Via Complexity Digest
more...
No comment yet.
Rescooped by Complexity Institute from Papers
Scoop.it!

Collaboration is the New Competition

Collaboration is the New Competition | Self-organizing systems | Scoop.it
Five ways to drive large-scale social change by working cooperatively.

Via ddrrnt, Complexity Digest
more...
ddrrnt's curator insight, January 11, 2013 11:19 PM

Leaders and organizations are acknowledging that even their best individual efforts can't stack up against today's complex and interconnected problems. They are putting aside self-interests and collaborating to build a new civic infrastructure to advance their shared objectives. It's called collective impact and it's a growing trend across the country. (...)

While collaboration is certainly not a foreign concept, what we're seeing around the country is the coming together of non-traditional partners, and a willingness to embrace new ways of working together. And, this movement is yielding promising results.

... five lessons for driving large-scale social change through collaboration:


  1. Clearly define what you can do together: As Dana O'Donovan of the Monitor Institute has noted, many organizations find collaboration to be messy and time consuming. From the very beginning, you must develop clarity of purpose and articulate, "What can we do together that we could not do alone?" (...)
  2. Transcend parochialism: Even the most well intended collaboration is often crippled by parochialism. Individual organizations earmark their participation and resources for activities that perfectly align with their own work or they use the collaboration platform as a way to get other participants to fund their own priorities. (...)
  3. Adapt to data: The complex, multidisciplinary problems that many collaborative projects tackle do not have easy fixes. These challenges require continuous learning and innovation and the use of real-time data to help participants understand what is and isn't working. Adjustments must be made on the fly. (...)
  4. Feed the field: You have an obligation to share what you learn — both the results and the methods for achieving them. Living Cities has long understood the value that our member institutions get by learning and working together. (...)
  5. Support the backbone: In our experience, progress is best achieved when a "backbone organization," keeps the group's work moving forward. Staff at these organizations ensure that work is completed between meetings, track data, enable adaptation, disseminate knowledge, and build buy-in and ownership from all participants.(...)

Ben Hecht

Ben Hecht is President & CEO of Living Cities, an organization that harnesses the collective knowledge of its 22 member foundations and financial institutions to benefit low income people and the cities where they live.



Scooped by Complexity Institute
Scoop.it!

Complessità e Spiritualità

Complessità e Spiritualità | Self-organizing systems | Scoop.it
Orlo del Caos ed Interdipendenza Un percorso quotidiano tra Complessità e Buddhismo   Il Complexity Institute insieme al Centro Mindfulness Project di Milano propone un incontro di approfondim...
Complexity Institute's insight:

E' possibile immaginare punti di contatto profondi tra la scienza e la spiritualità? La scienza della complessità offre molti elementi di collegamento con la spiritualità, ed in particolare con il buddhismo, più di quanto si possa a mio avviso credere con una disamina superficiale.

more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

L'irragionevole bellezza della matematica - Le Scienze

L'irragionevole bellezza della matematica - Le Scienze | Self-organizing systems | Scoop.it
I frattali sono un esempio affascinante di come le forme matematiche, generate da algoritmi apparentemente semplici, i cui modelli si ripetono su scale multiple, sono capaci di una complessa bellezza.
more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

Un "generatore di ipotesi" per non affogare nei dati - Le Scienze

Un "generatore di ipotesi" per non affogare nei dati - Le Scienze | Self-organizing systems | Scoop.it

Dalla genetica, all'economia, dalla fisica alla salute pubblica, ovunque la quantità di dati disponibili prolifera in maniera esorbitante: una ricchezza preziosa, ma che rischia di rendere difficile l'identificazione delle variabili e delle relazioni significative per un fenomeno. Un nuovo strumento statistico promette di porvi rimedio. "Questo strumento offre un modo per 'scavare' nei dati alla ricerca di relazioni. I metodi standard vedono un modello come segnale e scartano gli altri come rumore", ha detto David Reshef, coautore della ricerca. "Ma ci può essere una grande varietà di differenti tipi di relazioni in un determinato insieme di dati. Il nostro metodo scruta qualsiasi tipo di struttura emergente all'interno dei dati, cercando di trovarle tutte".

more...
No comment yet.
Scooped by Complexity Institute
Scoop.it!

Un nuovo modello per prevedere la mobilità - Le Scienze

Un nuovo modello per prevedere la mobilità - Le Scienze | Self-organizing systems | Scoop.it
Che si tratti di auto, pendolari, telefonate o vettori di malattie, la capacità di prevedere i flussi di traffico è essenziale in una società basata sulla comunicazione. Pur facendo riferimento esclusivamente ai dati relativi alla densità di popolazione, il nuovo modello - elaborato da un gruppo di ricercatori diretti da Albert-László Barabasi e a prima firma di Filippo Simini - ha fornito prestazioni superiori all'attuale modello "gravitazionale" di riferimento
more...
No comment yet.