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Rescooped by Vasileios Basios from Empathy and Compassion
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When Power Goes To Your Head, It May Shut Out Your Heart : NPR Audio

When Power Goes To Your Head, It May Shut Out Your Heart : NPR Audio | collectibles from scoop.it | Scoop.it
If your boss is a jerk, there might be a scientific reason for it. A new study suggests feeling powerful dampens the part of the brain that helps us connect with others.

 

It turns out, feeling powerless boosted the mirror system — people empathized highly. But, Obhi says, "when people were feeling powerful, the signal wasn't very high at all." So when people felt power, they really did have more trouble getting inside another person's head. 

 

"What we're finding is power diminishes all varieties of empathy," says Dacher Keltner, a social psychologist at University of California, Berkeley, not involved in the new study. He says these results fit a trend within psychological research.

 

by CHRIS BENDEREV


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Jot Nur Fitz's comment, August 11, 2013 9:13 PM
Jerk personality has internal (soul or family) problem, which very crucial to cure, if they themselves not aware.. self-conscious or self-awareness is very important.. to make ourselves to be self-awareness, just look around, think, learn & teach ourselves.. the mindset is to make ourselves better person & to make this world better place to stay... wrong mindset will open negative door inside one self.. this what i learn & teach myself daily.. i dont want MYSELF to be a JERK for whole life, very boring life & boring character, not challenging ha.. jajajaa.. even though i'm not in high post or boss position, i still have JERK character, which sometimes may affected someone else life or giving trouble to others.. jejejeee .. i feel that, my character is my responsibility to be correct..
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The Brain Is Not Computable: Why Singularity Will Not Happen and Humans Will Assimilate Machines

The Brain Is Not Computable: Why Singularity Will Not Happen and Humans Will Assimilate Machines | collectibles from scoop.it | Scoop.it
A leading neuroscientist says Kurzweil’s Singularity isn’t going to happen. Instead, humans will assimilate machines.

 

Miguel Nicolelis, a top neuroscientist at Duke University, says computers will never replicate the human brain and that the technological Singularity is “a bunch of hot air.”

 

“The brain is not computable and no engineering can reproduce it,” says Nicolelis, author of several pioneering papers on brain-machine interfaces.

 

The Singularity, of course, is that moment when a computer super-intelligence emerges and changes the world in ways beyond our comprehension.

 

Among the idea’s promoters are futurist Ray Kurzweil, recently hired on at Google as a director of engineering, who has been predicting that not only will machine intelligence exceed our own, but people will be able to download their thoughts and memories into computers (see “Ray Kurzweil Plans to Create a Mind at Google—and Have It Serve You”). 

 

Nicolelis calls that idea sheer bunk. “Downloads will never happen,” he said during remarks made at the annual meeting of the American Association for the Advancement of Science in Boston on Sunday. “There are a lot of people selling the idea that you can mimic the brain with a computer.”

 

The debate over whether the brain is a kind of computer has been running for decades. Many scientists think it’s possible, in theory, for a computer to equal the brain given sufficient computer power and an understanding of how the brain works.

 

Kurzweil delves into the idea of “reverse-engineering” the brain in his latest book, How to Create a Mind: The Secret of Human Thought Revealed, in which he says even though the brain may be immensely complex, “the fact that it contains many billions of cells and trillions of connections does not necessarily make its primary method complex.”

 

But Nicolelis is in a camp that thinks that human consciousness (and if you believe in it, the soul) simply can’t be replicated in silicon. That’s because its most important features are the result of unpredictable, nonlinear interactions among billions of cells, Nicolelis says.

 

“You can’t predict whether the stock market will go up or down because you can’t compute it,” he says. “You could have all the computer chips ever in the world and you won’t create a consciousness.”

 

The neuroscientist, originally from Brazil, instead thinks that humans will increasingly subsume machines (an idea, incidentally, that’s also part of Kurzweil’s predictions).

 

In a study published last week, for instance, Nicolelis’s group at Duke used brain implants to allow mice to sense infrared light, something mammals can’t normally perceive. They did it by wiring a head-mounted infrared sensor to electrodes implanted into a part of the brain called the somatosensory cortex.

 

The experiment, in which several mice were able to follow sensory cues from the infrared detector to obtain a reward, was the first ever to use a neural implant to add a new sense to an animal, Nicolelis says.  


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Bernhard H. Schmitz's comment, July 16, 11:33 AM
I agree that too many people think it would be sufficient to plug a bunch of neurons together and consciousness will happen. Ridiculous. But I am convinced that it is not necessary to simulate a brain or reverse engineer it. Brains are developed by random incidents and evolution - and it's a mess. I am strongly convinced that a conscious mechanism will be developed from scratch. And it will outwit us.
Bernhard H. Schmitz's curator insight, July 16, 11:37 AM

I agree that too many people think it would be sufficient to plug a bunch of neurons together and consciousness will happen. Ridiculous. But I am convinced that it is not necessary to simulate a brain or reverse engineer it. Brains are developed by random incidents and evolution - and it's a mess. I am strongly convinced that a conscious mechanism will be developed from scratch. And it will outwit us.

Marco Bertolini's comment, July 16, 11:52 PM
@ Bernard Schmitz : I think you have a point there and I like the verty elegant way you put it : a conscious mecanism coming out from the chaos.
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Uncovering the structure and temporal dynamics of information propagation

Time plays an essential role in the diffusion of information, influence, and disease over networks. In many cases we can only observe when a node is activated by a contagion—when a node learns about a piece of information, makes a decision, adopts a new behavior, or becomes infected with a disease. However, the underlying network connectivity and transmission rates between nodes are unknown. Inferring the underlying diffusion dynamics is important because it leads to new insights and enables forecasting, as well as influencing or containing information propagation. In this paper we model diffusion as a continuous temporal process occurring at different rates over a latent, unobserved network that may change over time. Given information diffusion data, we infer the edges and dynamics of the underlying network. Our model naturally imposes sparse solutions and requires no parameter tuning. We develop an efficient inference algorithm that uses stochastic convex optimization to compute online estimates of the edges and transmission rates. We evaluate our method by tracking information diffusion among 3.3 million mainstream media sites and blogs, and experiment with more than 179 million different instances of information spreading over the network in a one-year period. We apply our network inference algorithm to the top 5,000 media sites and blogs and report several interesting observations. First, information pathways for general recurrent topics are more stable across time than for on-going news events. Second, clusters of news media sites and blogs often emerge and vanish in a matter of days for on-going news events. Finally, major events, for example, large scale civil unrest as in the Libyan civil war or Syrian uprising, increase the number of information pathways among blogs, and also increase the network centrality of blogs and social media sites.

 

Uncovering the structure and temporal dynamics of information propagation
MANUEL GOMEZ RODRIGUEZ, JURE LESKOVEC, DAVID BALDUZZI, BERNHARD SCHÖLKOPF
Network Science , Volume 2 , Issue 01 , April 2014, pp 26 - 65
http://dx.doi.org/10.1017/nws.2014.3 ;


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Characterizing the effect of population heterogeneity on evolutionary dynamics on complex networks : Scientific Reports : Nature Publishing Group

Characterizing the effect of population heterogeneity on evolutionary dynamics on complex networks : Scientific Reports : Nature Publishing Group | collectibles from scoop.it | Scoop.it
Recently, the impact of network structure on evolutionary dynamics has been at the center of attention when studying the evolutionary process of structured populations. This paper aims at finding out the key structural feature of network to capture its impact on evolutionary dynamics. To this end, a novel concept called heat heterogeneity is introduced to characterize the structural heterogeneity of network, and the correlation between heat heterogeneity of structure and outcome of evolutionary dynamics is further investigated on various networks. It is found that the heat heterogeneity mainly determines the impact of network structure on evolutionary dynamics on complex networks. In detail, the heat heterogeneity readjusts the selection effect on evolutionary dynamics. Networks with high heat heterogeneity amplify the selection effect on the birth-death process and suppress the selection effect on the death-birth process. Based on the above results, an effective algorithm is proposed to generate selection adjusters with desired size and average degree.

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Connecting Core Percolation and Controllability of Complex Networks : Scientific Reports : Nature Publishing Group

Connecting Core Percolation and Controllability of Complex Networks : Scientific Reports : Nature Publishing Group | collectibles from scoop.it | Scoop.it
Core percolation is a fundamental structural transition in complex networks related to a wide range of important problems. Recent advances have provided us an analytical framework of core percolation in uncorrelated random networks with arbitrary degree distributions. Here we apply the tools in analysis of network controllability. We confirm analytically that the emergence of the bifurcation in control coincides with the formation of the core and the structure of the core determines the control mode of the network. We also derive the analytical expression related to the controllability robustness by extending the deduction in core percolation. These findings help us better understand the interesting interplay between the structural and dynamical properties of complex networks.

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Sibout Nooteboom's curator insight, July 13, 12:52 AM

Fascinating advances

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Multiple percolation transitions in a configuration model of a network of networks

Multiple percolation transitions in a configuration model of a network of networks | collectibles from scoop.it | Scoop.it

Recently much attention has been paid to the study of the robustness of interdependent and multiplex networks and, in particular, the networks of networks. The robustness of interdependent networks can be evaluated by the size of a mutually connected component when a fraction of nodes have been removed from these networks. Here we characterize the emergence of the mutually connected component in a network of networks in which every node of a network (layer) alpha is connected with q_alpha its randomly chosen replicas in some other networks and is interdependent of these nodes with probability r. We find that when the superdegrees q_alpha of different layers in a network of networks are distributed heterogeneously, multiple percolation phase transition can occur. We show that, depending on the value of r, these transition are continuous or discontinuous.


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Multiple percolation transitions in a configuration model of a network of networks

Multiple percolation transitions in a configuration model of a network of networks | collectibles from scoop.it | Scoop.it

Recently much attention has been paid to the study of the robustness of interdependent and multiplex networks and, in particular, the networks of networks. The robustness of interdependent networks can be evaluated by the size of a mutually connected component when a fraction of nodes have been removed from these networks. Here we characterize the emergence of the mutually connected component in a network of networks in which every node of a network (layer) alpha is connected with q_alpha its randomly chosen replicas in some other networks and is interdependent of these nodes with probability r. We find that when the superdegrees q_alpha of different layers in a network of networks are distributed heterogeneously, multiple percolation phase transition can occur. We show that, depending on the value of r, these transition are continuous or discontinuous.


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Communicability reveals a transition to coordinated behavior in multiplex networks

Communicability reveals a transition to coordinated behavior in multiplex networks | collectibles from scoop.it | Scoop.it

We analyze the flow of information in multiplex networks by means of the communicability function. First, we generalize this measure from its definition from simple graphs to multiplex networks. Then, we study its relevance for the analysis of real-world systems by studying a social multiplex where information flows using formal-informal channels and an air transportation system where the layers represent different air companies. Accordingly, the communicability, which is essential for the good performance of these complex systems, emerges at a systemic operation point in the multiplex where the performance of the layers operates in a coordinated way very differently from the state represented by a collection of unconnected networks.


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Content Marketing: Are You Measuring What Matters?

Content Marketing: Are You Measuring What Matters? | collectibles from scoop.it | Scoop.it
Content marketers scramble to define the metrics that matter most, collect them and put them to use to improve their efforts. Can you continue to rely on the age-old page views model traditional publishers rely on? A variety of experts offer their take on the measurements that matter most in this edition of Content Marketing Minds.

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Guillaume Decugis's curator insight, June 5, 7:25 PM

“Research across the Chartbeat network has shown that if you can hold a visitor’s attention for just three minutes they are twice as likely to return than if you only hold them for one minute. The most valuable audience is the one that comes back."


Barry Feldman asks the legitimate question of what we should measure to gauge the effectiveness of our content marketing. As the above chart shows, attention spans have become so thin that reading or even sharing doesn't matter anymore. 


So metrics which matter more include time spent and more importantly subscription acts including lead generation as some experts he quotes and also our own [url=/u/104211 x-already-notified=1]Ally Greer[/url] pointed out.

AleksBlumentals's curator insight, July 2, 1:27 AM

Barry Feldman asks the legitimate question of what we should measure to gauge the effectiveness of our content marketing. As the above chart shows, attention spans have become so thin that reading or even sharing doesn't matter anymore. 

 

Nobody reads anything, we have lost most or all context that makes anything worthy. The world is a spectacle, everyone is a spectator and everything a specimen. Unless you overcome this you are bound to b'bble and f'zzle away sooner or later.

 

Nobody will read this ;-) 

 
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Let There Be Dark

Let There Be Dark | collectibles from scoop.it | Scoop.it
As more and more of us, in an increasingly sleep-deprived world, lose touch with our dreams, I continue to wonder what it is we are losing. Dr.

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Feeding from a Sacred Tree

Feeding from a Sacred Tree | collectibles from scoop.it | Scoop.it

In the image above we see a drawing of an Egyptian king feeding from a sacred breast of a holy tree, the ‘Lady of the Sycamore.’ The image is about 3,500 … Continue reading →


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Changing the Environment Based on Empowerment as Intrinsic Motivation

Changing the Environment Based on Empowerment as Intrinsic Motivation | collectibles from scoop.it | Scoop.it

One aspect of intelligence is the ability to restructure your own environment so that the world you live in becomes more beneficial to you. In this paper we investigate how the information-theoretic measure of agent empowerment can provide a task-independent, intrinsic motivation to restructure the world. We show how changes in embodiment and in the environment change the resulting behaviour of the agent and the artefacts left in the world. For this purpose, we introduce an approximation of the established empowerment formalism based on sparse sampling, which is simpler and significantly faster to compute for deterministic dynamics. Sparse sampling also introduces a degree of randomness into the decision making process, which turns out to beneficial for some cases. We then utilize the measure to generate agent behaviour for different agent embodiments in a Minecraft-inspired three dimensional block world. The paradigmatic results demonstrate that empowerment can be used as a suitable generic intrinsic motivation to not only generate actions in given static environments, as shown in the past, but also to modify existing environmental conditions. In doing so, the emerging strategies to modify an agent’s environment turn out to be meaningful to the specific agent capabilities, i.e., de facto to its embodiment.

 

Changing the Environment Based on Empowerment as Intrinsic Motivation
Christoph Salge , Cornelius Glackin and Daniel Polani

Entropy 2014, 16(5), 2789-2819; http://dx.doi.org/10.3390/e16052789


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Mark Waser's curator insight, May 28, 6:42 AM

Intrinsic motivation, FTW -- with any easy segue into ethics as empowerment for others.

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Grand challenges for Computational Intelligence

The intelligence phenomenon continues to fascinate scientists and engineers, remaining an elusive moving target. Following numerous past observations (e.g., Hofstadter, 1985, p. 585), it can be pointed out that several attempts to construct “artificial intelligence” have turned to designing programs with discriminative power. These programs would allow computers to discern between meaningful and meaningless in similar ways to how humans perform this task. Interestingly, as noted by de Looze (2006) among others, such discrimination is based on etymology of “intellect” derived from Latin “intellego” (inter-lego): to choose between, or to perceive/read (a core message) between (alternatives). In terms of computational intelligence, the ability to read between the lines, extracting some new essence, corresponds to mechanisms capable of generating computational novelty and choice, coupled with active perception, learning, prediction, and post-diction. When a robot demonstrates a stable control in presence of a priori unknown environmental perturbations, it exhibits intelligence. When a software agent generates and learns new behaviors in a self-organizing rather than a predefined way, it seems to be curiosity-driven. When an algorithm rapidly solves a hard computational problem, by efficiently exploring its search-space, it appears intelligent.

 

Prokopenko M (2014) Grand challenges for computational intelligence. Front. Robot. AI 1:2. http://journal.frontiersin.org/Journal/10.3389/frobt.2014.00002/full


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Soul Spelunker » On the Nature of the Archetype

Soul Spelunker » On the Nature of the Archetype | collectibles from scoop.it | Scoop.it

Jung compares the the psyche to the electromagnetic spectrum in order to illustrate the difference between the archetype, in its role as mediator between consciousness and unconsciousness, of images and ideas, and the archetype as such, which is “irrepresentable.” This strikes me as an example of Jung’s fondness for Kantian philosophy. Kant distinguished between the empirical thing, and the thing-in-itself. Jung uses Kant’s framework to describe the way an archetype functions as mediator, and the way an archetype is in itself, which, of course, cannot be fully known. Later, he will compare the archetype as mediator to infrared light in the spectrum.


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Universality in network dynamics

Despite significant advances in characterizing the structural properties of complex networks, a mathematical framework that uncovers the universal properties of the interplay between the topology and the dynamics of complex systems continues to elude us. Here we develop a self-consistent theory of dynamical perturbations in complex systems, allowing us to systematically separate the contribution of the network topology and dynamics. The formalism covers a broad range of steady-state dynamical processes and offers testable predictions regarding the system’s response to perturbations and the development of correlations. It predicts several distinct universality classes whose characteristics can be derived directly from the continuum equation governing the system’s dynamics and which are validated on several canonical network-based dynamical systems, from biochemical dynamics to epidemic spreading. Finally, we collect experimental data pertaining to social and biological systems, demonstrating that we can accurately uncover their universality class even in the absence of an appropriate continuum theory that governs the system’s dynamics.

 

Universality in network dynamics
Baruch Barzel & Albert-László Barabási

Nature Physics 9, 673–681 (2013) http://dx.doi.org/10.1038/nphys2741


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Controllability and observability analysis for vertex domination centrality in directed networks : Scientific Reports : Nature Publishing Group

Controllability and observability analysis for vertex domination centrality in directed networks : Scientific Reports : Nature Publishing Group | collectibles from scoop.it | Scoop.it
Topological centrality is a significant measure for characterising the relative importance of a node in a complex network. For directed networks that model dynamic processes, however, it is of more practical importance to quantify a vertex's ability to dominate (control or observe) the state of other vertices. In this paper, based on the determination of controllable and observable subspaces under the global minimum-cost condition, we introduce a novel direction-specific index, domination centrality, to assess the intervention capabilities of vertices in a directed network. Statistical studies demonstrate that the domination centrality is, to a great extent, encoded by the underlying network's degree distribution and that most network positions through which one can intervene in a system are vertices with high domination centrality rather than network hubs. To analyse the interaction and functional dependence between vertices when they are used to dominate a network, we define the domination similarity and detect significant functional modules in glossary and metabolic networks through clustering analysis. The experimental results provide strong evidence that our indices are effective and practical in accurately depicting the structure of directed networks.

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Connecting Core Percolation and Controllability of Complex Networks : Scientific Reports : Nature Publishing Group

Connecting Core Percolation and Controllability of Complex Networks : Scientific Reports : Nature Publishing Group | collectibles from scoop.it | Scoop.it
Core percolation is a fundamental structural transition in complex networks related to a wide range of important problems. Recent advances have provided us an analytical framework of core percolation in uncorrelated random networks with arbitrary degree distributions. Here we apply the tools in analysis of network controllability. We confirm analytically that the emergence of the bifurcation in control coincides with the formation of the core and the structure of the core determines the control mode of the network. We also derive the analytical expression related to the controllability robustness by extending the deduction in core percolation. These findings help us better understand the interesting interplay between the structural and dynamical properties of complex networks.

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Sibout Nooteboom's curator insight, July 13, 12:52 AM

Fascinating advances

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Soul Spelunker » Archetypal Psychology and Reversion

Soul Spelunker » Archetypal Psychology and Reversion | collectibles from scoop.it | Scoop.it

Archetypal psychology holds that, when dealing with a psychological breakdown, one must “see through” the symptoms, and examine the mythological material that underlies the event. Assuming the “psychological sickness is an enactment of a pathologizing fantasy, archetypal psychology proceeds to search for the archai, the governing principles or root metaphors of the fantasy” (Hillman, Re-visioning 99). Hillman borrows, here, from Plotinus’ idea of epistrophe, or reversion.


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Kabeiros, Kabeiroi, Cabiri, Cabeiri, Kabiri, Cabirus, Cabeiri

Kabeiros, Kabeiroi, Cabiri, Cabeiri, Kabiri, Cabirus, Cabeiri | collectibles from scoop.it | Scoop.it

 

In Greek folklore, the Kabeiroi are twin gods or daimones who presided over the orgiastic dances of the mysteries of Samothrake which were performed in honour of the goddesses Demeter, Persephone, and Hekate.

 

These enigmatic chthonic beings are also famed metal-workers, dwarf-like sons of the god Hephaistos, who served their father at his Lemnian forge.

 

The accounts of the Samothracian gods, whose names were secret, vary in the number and sexes of the gods, usually between two and four, some of either sex. However, the number of Cabeiri also varied, with some accounts citing four (often a pair of males and a pair of females) of them, and some even more, such as a tribe or whole race of Cabeiri, often presented as all male.

http://bit.ly/1mQbhPJ

 

Like their mother Kabeiro, the pair were also sea-divinities, who protected and came to the aid of sailors in distress.

 

According to Clement the Kabeiroi were three in number, but two of the brothers committed an act of fratricide. The pair later recovered the phallus of Zagreus who had been dismembered by the Titan-gods and established it in the shrine of the Mysteries.

 

In the Cabiri by Aeschylus, the two gods welcomed the Argonauts to their island and initiated them in a drunken orgy...

 

The Kabeiroi were closely identified with a number of other korybantic daimones including the Cretan Kouretes, the Trojan Daktyloi, and the Phrygian Kyrbantes.

 

According to some the Samothrakain Kabeiroi included not only the sons of Hephaistos, but also the Korybantic sons of the god Apollon...

 

 

Supportive:

http://bit.ly/TzgsYG

http://bit.ly/1okooIr

http://bit.ly/1mQbSRC

http://bit.ly/1queKX8

http://bit.ly/1iQIg74

http://bit.ly/1qf2xng

http://bit.ly/1qN4g2H

http://bit.ly/V7aWOh

 

 

See Hephaistos:

http://bit.ly/1jFTu9h

 

See Apollon:

http://bit.ly/1rbNH2P

 

See Demeter:

http://bit.ly/1nZ3uvw

 

See Persephone:

http://bit.ly/1jFTENR

 

 

Post ImagE: http://bit.ly/1rTeGhc

 


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Control Profiles of Complex Networks

Control Profiles of Complex Networks | collectibles from scoop.it | Scoop.it

Studying the control properties of complex networks provides insight into how designers and engineers can influence these systems to achieve a desired behavior. Topology of a network has been shown to strongly correlate with certain control properties; here we uncover the fundamental structures that explain the basis of this correlation. We develop the control profile, a statistic that quantifies the different proportions of control-inducing structures present in a network. We find that standard random network models do not reproduce the kinds of control profiles that are observed in real-world networks. The profiles of real networks form three well-defined clusters that provide insight into the high-level organization and function of complex systems.


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Spatial correlation analysis of cascading failures: Congestions and Blackouts

Spatial correlation analysis of cascading failures: Congestions and Blackouts | collectibles from scoop.it | Scoop.it
Cascading failures have become major threats to network robustness due to their potential catastrophic consequences, where local perturbations can induce global propagation of failures. Unlike failures spreading via direct contacts due to structural interdependencies, overload failures usually propagate through collective interactions among system components. Despite the critical need in developing protection or mitigation strategies in networks such as power grids and transportation, the propagation behavior of cascading failures is essentially unknown. Here we find by analyzing our collected data that jams in city traffic and faults in power grid are spatially long-range correlated with correlations decaying slowly with distance. Moreover, we find in the daily traffic, that the correlation length increases dramatically and reaches maximum, when morning or evening rush hour is approaching. Our study can impact all efforts towards improving actively system resilience ranging from evaluation of design schemes, development of protection strategies to implementation of mitigation programs.

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tom cockburn's curator insight, June 25, 11:08 AM

Could be far reaching in its significance

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Embracing the Infinite

Embracing the Infinite | collectibles from scoop.it | Scoop.it
Sun & Solitude, Stuart Kirby
“The decisive question for man is: Is he related to something infinite or not? That is the telling question of his life.

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The Body as a Receptor and Communicator of Healing Energy

The Body as a Receptor and Communicator of Healing Energy | collectibles from scoop.it | Scoop.it
amandaseesdreams:Please enjoy this wonderful post from Fran Kramer that speaks to the importance of witnessing and honoring the sacred energy found in the body, meditation and in dreams….basically, all of my favorite things!

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The World Is Like a Divine Language

The World Is Like a Divine Language | collectibles from scoop.it | Scoop.it
René Guénon
“1. … symbolism seems to us to be quite specially adapted to the needs of human nature, which is not exclusively intellectual but which needs a sensory basis from which to rise to higher levels.

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Grand challenges for Computational Intelligence

The intelligence phenomenon continues to fascinate scientists and engineers, remaining an elusive moving target. Following numerous past observations (e.g., Hofstadter, 1985, p. 585), it can be pointed out that several attempts to construct “artificial intelligence” have turned to designing programs with discriminative power. These programs would allow computers to discern between meaningful and meaningless in similar ways to how humans perform this task. Interestingly, as noted by de Looze (2006) among others, such discrimination is based on etymology of “intellect” derived from Latin “intellego” (inter-lego): to choose between, or to perceive/read (a core message) between (alternatives). In terms of computational intelligence, the ability to read between the lines, extracting some new essence, corresponds to mechanisms capable of generating computational novelty and choice, coupled with active perception, learning, prediction, and post-diction. When a robot demonstrates a stable control in presence of a priori unknown environmental perturbations, it exhibits intelligence. When a software agent generates and learns new behaviors in a self-organizing rather than a predefined way, it seems to be curiosity-driven. When an algorithm rapidly solves a hard computational problem, by efficiently exploring its search-space, it appears intelligent.

 

Prokopenko M (2014) Grand challenges for computational intelligence. Front. Robot. AI 1:2. http://journal.frontiersin.org/Journal/10.3389/frobt.2014.00002/full


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Special Issue: The Science of Inequality

Special Issue: The Science of Inequality | collectibles from scoop.it | Scoop.it

In 2011, the wrath of the 99% kindled Occupy movements around the world. The protests petered out, but in their wake an international conversation about inequality has arisen, with tens of thousands of speeches, articles, and blogs engaging everyone from President Barack Obama on down. Ideology and emotion drive much of the debate. But increasingly, the discussion is sustained by a tide of new data on the gulf between rich and poor.
This special issue uses these fresh waves of data to explore the origins, impact, and future of inequality around the world.


What the numbers tell us
Gilbert Chin, Elizabeth Culotta

Science 23 May 2014:
Vol. 344 no. 6186 pp. 818-821
http://dx.doi.org/10.1126/science.344.6186.818

http://www.sciencemag.org/site/special/inequality/index.xhtml


Via Complexity Digest
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