collectibles from scoop.it
126 views | +0 today
Follow
 
Rescooped by Vasileios Basios from Complex World
onto collectibles from scoop.it
Scoop.it!

Conway's Reverse Game of Life

Conway's Reverse Game of Life | collectibles from scoop.it | Scoop.it

This competition is an experiment to see if machine learning (or optimization, or any method) can predict the game of life in reverse.  Is the chaotic start of Life predictable from its orderly ends?  We have created many games, evolved them, and provided only the end boards. You are asked to predict the starting board that resulted in each end board. Although some people have examined this problem, it is unknown (at least, to us...) just how difficult this will be.


Via Claudia Mihai
more...
No comment yet.
collectibles from scoop.it
collectibles from scoop.it
Your new post is loading...
Your new post is loading...
Rescooped by Vasileios Basios from CxBooks
Scoop.it!

Sustaining the Commons | Free eBook

Sustaining the Commons | Free eBook | collectibles from scoop.it | Scoop.it

This textbook discusses the main framework, concepts and applications of the work of Elinor Ostrom for an undergraduate audience.


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

How Do You Say “Life” in Physics?

How Do You Say “Life” in Physics? | collectibles from scoop.it | Scoop.it

We think we know life when we see it. Darwin’s theory even explains how one form of life evolves into another. But what is the difference between a robin and a rock, when both obey the same physical laws? In other words, how do you say “life” in physics? Some have argued that the word is untranslatable. But maybe it simply needed the right translator.

 

http://nautil.us/issue/34/adaptation/how-do-you-say-life-in-physics


Via Complexity Digest
more...
Marcelo Errera's curator insight, March 19, 10:01 AM
Since you've mentioned it, may I recommend another perspective:

Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Systems Thinking: A journey along the way

Systems Thinking: A journey along the way | collectibles from scoop.it | Scoop.it
A systems view is somewhat in contradiction to the concept of analysis, which is breaking things down into smaller pieces to simplify the study. Analysis brings with it the risk of potentially loos…

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

FlaTt AND Fluid: How companies without hierarchy manage themselves

FlaTt AND Fluid: How companies without hierarchy manage themselves | collectibles from scoop.it | Scoop.it
This post explores three flat and fluid organizations in completely different industries and of vastly different sizes. …

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Stigmergy as a Universal Coordination Mechanism I: Definition and Components

Stigmergy as a Universal Coordination Mechanism I: Definition and Components | collectibles from scoop.it | Scoop.it

The concept of stigmergy has been used to analyze self-organizing activities in an ever-widening range of domains, including social insects, robotics, web communities and human society. Yet, it is still poorly understood and as such its full power remains underappreciated. The present paper clarifies the issue by defining stigmergy as a mechanism of indirect coordination in which the trace left by an action in a medium stimulates subsequent actions. It then analyses the fundamental concepts used in the definition: action, agent, medium, trace and coordination. It clarifies how stigmergy enables complex, coordinated activity without any need for planning, control, communication, simultaneous presence, or even mutual awareness. The resulting self-organization is driven by a combination of positive and negative feedbacks, amplifying beneficial developments while suppressing errors. Thus, stigmergy is applicable to a very broad variety of cases, from chemical reactions to bodily coordination and Internet-supported collaboration in Wikipedia.

 

Stigmergy as a Universal Coordination Mechanism I: Definition and Components
Leslie Marsh, Ted G. Lewis, Francis Heylighen

Cognitive Systems Research

http://dx.doi.org/10.1016/j.cogsys.2015.12.002 ;


Via Complexity Digest, june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Open Sourcing Social Change: Inside the Constellation Model | TIM Review

Open Sourcing Social Change: Inside the Constellation Model | TIM Review | collectibles from scoop.it | Scoop.it
"In spite of current ads and slogans, the world doesn't change one person at a time. It changes as networks of relationships form among people who discover they share a common cause and vision of what's possible." Margaret Wheatley and Deborah Freize

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

The physics of life

The physics of life | collectibles from scoop.it | Scoop.it
From flocking birds to swarming molecules, physicists are seeking to understand 'active matter' — and looking for a fundamental theory of the living world.

 

http://www.nature.com/news/the-physics-of-life-1.19105


Via Complexity Digest, Francisco Restivo, june holley
more...
Marcelo Errera's curator insight, January 13, 1:09 PM

Organization emerges naturally. One more manifestation of the constructal law.

 

By the way, soon to appear:

The Physics of Life: The Evolution of Everything 
by Adrian Bejan 
Link: http://amzn.com/1250078822

Francisco Restivo's curator insight, January 14, 6:29 PM

Living world is the real laboratory.

Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Holacracy, Managerless Offices and The Future of Work

Holacracy, Managerless Offices and The Future of Work | collectibles from scoop.it | Scoop.it
Brian Robertson, Co-Founder of HolacracyOne, gives an overview of his revolutionary new self-management system.

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Why You Need A Boss, Even If You Hate Her

Why You Need A Boss, Even If You Hate Her | collectibles from scoop.it | Scoop.it
Without hierarchy, there is chaos.

Via june holley
more...
june holley's curator insight, January 27, 1:04 PM

This is ridiculous!

Rescooped by Vasileios Basios from Papers
Scoop.it!

Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation

Consensus dynamics in decentralised multiagent systems are subject to intense studies, and several different models have been proposed and analysed. Among these, the naming game stands out for its simplicity and applicability to a wide range of phenomena and applications, from semiotics to engineering. Despite the wide range of studies available, the implementation of theoretical models in real distributed systems is not always straightforward, as the physical platform imposes several constraints that may have a bearing on the consensus dynamics. In this paper, we investigate the effects of an implementation of the naming game for the kilobot robotic platform, in which we consider concurrent execution of games and physical interferences. Consensus dynamics are analysed in the light of the continuously evolving communication network created by the robots, highlighting how the different regimes crucially depend on the robot density and on their ability to spread widely in the experimental arena. We find that physical interferences reduce the benefits resulting from robot mobility in terms of consensus time, but also result in lower cognitive load for individual agents.

 

Emergence of Consensus in a Multi-Robot Network: from Abstract Models to Empirical Validation
Vito Trianni, Daniele De Simone, Andreagiovanni Reina, Andrea Baronchelli

http://arxiv.org/abs/1601.04952


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

Stigmergy as a Universal Coordination Mechanism I: Definition and Components

Stigmergy as a Universal Coordination Mechanism I: Definition and Components | collectibles from scoop.it | Scoop.it

The concept of stigmergy has been used to analyze self-organizing activities in an ever-widening range of domains, including social insects, robotics, web communities and human society. Yet, it is still poorly understood and as such its full power remains underappreciated. The present paper clarifies the issue by defining stigmergy as a mechanism of indirect coordination in which the trace left by an action in a medium stimulates subsequent actions. It then analyses the fundamental concepts used in the definition: action, agent, medium, trace and coordination. It clarifies how stigmergy enables complex, coordinated activity without any need for planning, control, communication, simultaneous presence, or even mutual awareness. The resulting self-organization is driven by a combination of positive and negative feedbacks, amplifying beneficial developments while suppressing errors. Thus, stigmergy is applicable to a very broad variety of cases, from chemical reactions to bodily coordination and Internet-supported collaboration in Wikipedia.

 

Stigmergy as a Universal Coordination Mechanism I: Definition and Components
Leslie Marsh, Ted G. Lewis, Francis Heylighen

Cognitive Systems Research

http://dx.doi.org/10.1016/j.cogsys.2015.12.002 ;


Via Complexity Digest
more...
No comment yet.
Rescooped by Vasileios Basios from Complexity in Education
Scoop.it!

In social networks, group boundaries promote the spread of ideas, study finds

In social networks, group boundaries promote the spread of ideas, study finds | collectibles from scoop.it | Scoop.it
Social networks affect every aspect of our lives, from the jobs we get and the technologies we adopt to the partners we choose and the healthiness of our lifestyles. But where do they come from?

Via Keith Hamon
more...
Keith Hamon's curator insight, July 3, 2015 5:34 PM

Boundaries are critical for the movement of information. They enable the flow of information.

 

Rescooped by Vasileios Basios from Complexity & Systems
Scoop.it!

Life’s Quantum Crystal Ball

Life’s Quantum Crystal Ball | collectibles from scoop.it | Scoop.it

Does the ability to predict the future—perhaps with quantum help—define the fundamental difference between living and inanimate matter?


Via Bernard Ryefield
more...
No comment yet.
Rescooped by Vasileios Basios from Papers
Scoop.it!

Age of Entanglement

Age of Entanglement | collectibles from scoop.it | Scoop.it

This essay proposes a map for four domains of creative exploration—Science, Engineering, Design and Art—in an attempt to represent the antidisciplinary hypothesis: that knowledge can no longer be ascribed to, or produced within, disciplinary boundaries, but is entirely entangled. The goal is to establish a tentative, yet holistic, cartography of the interrelation between these domains, where one realm can incite ®evolution inside another; and where a single individual or project can reside in multiple dominions. Mostly, this is an invitation to question and to amend what is being proposed.

 

Age of Entanglement
By Neri Oxman

Journal of Design of Science

http://jods.mitpress.mit.edu/pub/AgeOfEntanglement


Via Complexity Digest
more...
Tip Ghosh's curator insight, March 20, 3:49 PM

The article links art and science together

Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

What makes good strategy?

What makes good strategy? | collectibles from scoop.it | Scoop.it
In Good Strategy/Bad Strategy, Richard Rumelt describes what bad strategy is and why we see so much of it. He also shares his framework for what drives good strategy along with guidance on how to create more of it. For a quick overview of his work, make sure to

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Mental Modeler - Fuzzy Logic Cognitive Mapping

Mental Modeler - Fuzzy Logic Cognitive Mapping | collectibles from scoop.it | Scoop.it

Via june holley
more...
june holley's curator insight, January 21, 7:43 AM

Example of a simple web-based tool that can be used by communities to look at implications of decisions. 

Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Flat and Fluid: How Companies Without Hierarchy Manage Themselves — Medium

Flat and Fluid:  How Companies Without Hierarchy Manage Themselves — Medium | collectibles from scoop.it | Scoop.it
This post explores three flat and fluid organizations in completely different industries and of vastly different sizes. …

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Earth Talk: Fritjof Capra - The Systems View of Life

A talk given at Schumacher College (UK), Dartington on May 7th 2014. The great challenge of our time is to build and nurture sustainable communities, designe...

Via Steve Wilhite, june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

System Mapping for You

System Mapping for You | collectibles from scoop.it | Scoop.it
Get this simple tool that helps us make sense of the complex patterns around us. HSD offers you a tool created for mapping your own complex systems.

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach

Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach | collectibles from scoop.it | Scoop.it
Background Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT) implies an inherent difficulty in modeling problems. Purpose It is practically impossible to implement and test all scenarios for large-scale and complex adaptive communication networks as part of Complex Adaptive Communication Networks and Environments (CACOONS). The goal of this study is to explore the use of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC) framework to model a Complex communication network problem. Method We use Exploratory Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network. To evaluate the application of complexity in practical scenarios, we have also introduced a company-defined computer usage policy. Results The conducted experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach to modeling complex problems in the domain of IoT. Secondly, the specific problem of managing the Carbon footprint can be solved using a multiagent system approach.

Via june holley
more...
No comment yet.
Rescooped by Vasileios Basios from Amazing Science
Scoop.it!

A pulsating star in the constellation Lyra revealed a peculiar mathematical object

A pulsating star in the constellation Lyra revealed a peculiar mathematical object | collectibles from scoop.it | Scoop.it

A pulsating star in the constellation Lyra generates a unique fractal pattern that hints at unknown stellar processes.


What struck John Learned about the blinking of KIC 5520878, a bluish-white star 16,000 light-years away, was how artificial it seemed. A “variable” star, KIC 5520878 brightens and dims in a six-hour cycle, seesawing between cool-and-clear and hot-and-opaque. Overlaying this rhythm is a second, subtler variation of unknown origin; this frequency interplays with the first to make some of the star’s pulses brighter than others. In the fluctuations, Learned had identified interesting and, he thought, possibly intelligent sequences, such as prime numbers (which have been floated as a conceivable basis of extraterrestrial communication). He then found hints that the star’s pulses were chaotic.


But when Learned mentioned his investigations to a colleague, William Ditto, last summer, Ditto was struck by the ratio of the two frequencies driving the star’s pulsations. “I said, ‘Wait a minute, that’s the golden mean.’” This irrational number, which begins 1.618, is found in certain spirals, golden rectangles and now the relative speeds of two mysterious stellar processes. It meant that the blinking of KIC 5520878 wasn’t an extraterrestrial signal, Ditto realized, but something else that had never before been found in nature: a mathematical curiosity caught halfway between order and chaos called a “strange nonchaotic attractor.”


Dynamical systems — such as pendulums, the weather and variable stars — tend to fall into circumscribed patterns of behavior that are a subset of all the ways they could possibly behave. A pendulum wants to swing from side to side, for example, and the weather stays within a general realm of possibility (it will never be zero degrees in summer). Plotting these patterns creates a shape called an “attractor.”


Mathematicians in the 1970s used attractors to model the behavior of chaotic systems like the weather, and they found that the future path of such a system through its attractor is extremely dependent on its exact starting point. This sensitivity to initial conditions, known as the butterfly effect, makes the behavior of chaotic systems unpredictable; you can’t tell the forecast very far in advance if the flap of a butterfly’s wings today can make the difference, two weeks from now, between sunshine and a hurricane. The infinitely detailed paths that most chaotic systems take through their attractors are called “fractals.” Zoom in on a fractal, and new variations keep appearing, just as new outcrops appear whenever you zoom in on the craggy coastline of Great Britain. Attractors with this fractal structure are called “strange attractors.”


Then in 1984, mathematicians led by Celso Grebogi, Edward Ott and James Yorke of the University of Maryland in College Park discovered an unexpected new category of objects — strange attractors shaped not by chaos but by irrationality. These shapes formed from the paths of a system driven at two frequencies with no common multiple — that is, frequencies whose ratio was an irrational number, like pi or the golden mean. Unlike other strange attractors, these special “nonchaotic” ones did not exhibit a butterfly effect; a small change to a system’s initial state had a proportionally small effect on its resulting fractal journey through its attractor, making its evolution relatively stable and predictable.


“It was quite surprising to find these fractal structures in something that was totally nonchaotic,” said Grebogi, a Brazilian chaos theorist who is now a professor at the University of Aberdeen in Scotland.


Though no example could be positively identified, scientists speculated that strange nonchaotic attractors might be everywhere around and within us. It seemed possible that the climate, with its variable yet stable patterns, could be such a system. The human brain might be another.


The first laboratory demonstration of strange nonchaotic dynamics occurred in 1990, spearheaded by Ott and none other than William Ditto. Working at the Naval Surface Warfare Center in Silver Spring, Maryland, Ditto, Ott and several collaborators induced a magnetic field inside a metallic strip of tinsel called a “magnetoelastic ribbon” and varied the field’s strength at two different frequencies related by the golden ratio. The ribbon stiffened and relaxed in a strange nonchaotic pattern, bringing to life the mathematical discovery from six years earlier. “We were the first people to see this thing; we were pleased with that,” Ditto said. “Then I forgot about it for 20 years.


The study of variable stars entered boom times in 2009 with the launch of the Kepler telescope, which looked for small aberrations in starlight as a sign of distant planets. The telescope gathered a trove of unprecedented data on the pulsations of variable stars throughout the galaxy. Other, ground-based surveys have added further riches.


The data revealed subtle variations in many of the stars’ pulsations that hinted at stellar processes beyond those described by Eddington. The pulses of starlight could be separated into two main frequencies: a faster one like the beat of a snare drum and a slower one like a gong, with the two rhythms played out of sync. And in more than 100 of these variable stars — including those, like KIC 5520878, belonging to a subclass called “RRc” — the ratios defining the duration of one frequency relative to the other inexplicably fell between 1.58 and 1.64.


Via Dr. Stefan Gruenwald
more...
No comment yet.
Rescooped by Vasileios Basios from Social Foraging
Scoop.it!

Mastering the game of Go with deep neural networks and tree search

Mastering the game of Go with deep neural networks and tree search | collectibles from scoop.it | Scoop.it
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. Here we introduce a new approach to computer Go that uses ‘value networks’ to evaluate board positions and ‘policy networks’ to select moves. These deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play. Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte Carlo tree search programs that simulate thousands of random games of self-play. We also introduce a new search algorithm that combines Monte Carlo simulation with value and policy networks. Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0. This is the first time that a computer program has defeated a human professional player in the full-sized game of Go, a feat previously thought to be at least a decade away.

Via Ashish Umre
more...
No comment yet.
Rescooped by Vasileios Basios from Thinking about Systems
Scoop.it!

Earth Talk: Fritjof Capra - The Systems View of Life

A talk given at Schumacher College (UK), Dartington on May 7th 2014. The great challenge of our time is to build and nurture sustainable communities, designe...

Via Steve Wilhite
more...
No comment yet.
Rescooped by Vasileios Basios from Self-organizing and Systems Mapping
Scoop.it!

Collective action problem in heterogeneous groups

Collective action problem in heterogeneous groups | collectibles from scoop.it | Scoop.it

Via june holley
more...
António F Fonseca's curator insight, November 4, 2015 4:54 AM

A very good review paper about collective action. Applying Mancur Olson's insights to Biology and groups.

Rescooped by Vasileios Basios from Accelerated Learning
Scoop.it!

RebilderU - Accelerated Learning using the Art of Memory

RebilderU - Accelerated Learning using the Art of Memory | collectibles from scoop.it | Scoop.it
RebilderU Accelerated Learning courses enable anyone to learn foreign languages in days, programming in hours, & entire degree programs in just weeks.

Via Graham Mumm
more...
Graham Mumm's curator insight, October 3, 2015 6:03 PM

The Art of Memory meets the information age. Free language, programming, food/wine, and dozens of other courses will soon be available for free!