New approach can control large complex networks, from cells to power grids

New approach can control large complex networks, from cells to power grids

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

What are Complex Adaptive Systems?

What are Complex Adaptive Systems?

" Requisite Variety: The greater the variety within the system the stronger it is. In fact ambiguity and paradox abound in complex adaptive systems which use contradictions to create new possibilities to co-evolve with their environment. Democracy is a good example in that its strength is derived from its tolerance and even insistence in a variety of political perspectives."

Global computational intelligence

Global computational intelligence

"In the second half of 20^th century, with advances in cybernetics, theory of metasystem transition has been developed by Valentin Turchin, with explanation of how multiple parts organized together can evolve into new whole, operating at different level of control. Further, the notion of Global Brain has been introduced by Peter Russel. The term technological singularity has been used by John von Neumann and later Vernor Vinge to denote transition from social level of human interactions to higher-level cybernetic-based human interactions bringing the whole world to post-human state."

Everett@50 - Interpretation of Quantum Mechanics: 50 years on

Everett@50 - Interpretation of Quantum Mechanics: 50 years on

"Some remarkable implications of probabilities without time - Andreas Albrecht
I consider the ambiguity in quantum gravity that arises from the choice of clock. As I emphasize in earlier work (gr-qc/9408023) this ambiguity leads to an absolute lack of predictability for the laws of physics, or more specifically a complete absence of physical laws. I review the clock ambiguity and then consider possible ways forward given this seemingly critical failure. Remarkably, there is an approach that could lead to a certain amount of predictability in physics. I describe this approach and assess its prospects. I also draw attention to possible flaws in the original assumptions on which the clock ambiguity is based, with special emphasis on the definition of probabilities in the absence of time."

News Blog: Hugh Everett: New film tackles "many worlds" theory of quantum mechanics

News Blog: Hugh Everett: New film tackles "many worlds" theory of quantum mechanics

"If everything physically possible happens in the universe, why do we only see one possibility at a time? That's the question philosophers are beating their heads bloody trying to answer," Byrne tells us.  "Everett's answer is there's more than one you, and you are splitting into trillions of copies of yourself every time there's a quantum interaction of a certain size."

Global Multi-Level Analysis of the ‘Scientific Food Web' : Scientific Reports : Nature Publishing Group

Global Multi-Level Analysis of the ‘Scientific Food Web' : Scientific Reports : Nature Publishing Group
"A network perspective is important, because in many complex systems (such as the scientific ecosystem), interaction effects can be more relevant for the resulting system behavior than the properties of the interacting entities themselves. For example, it has been shown that author teams manage to be more successful than single authors^{11, 12, 13, 14}. The social, network-based character of knowledge diffusion underlines this perspective as well^{15, 16, 17}."

Why Does the World Exist? An Existential Detective Story

Why Does the World Exist? An Existential Detective Story

"Krauss presented these anthropic arguments as “cosmic natural selection,” and a solution to the problem of where the universe comes from. But Jim Holt, author of “Why Does the World Exist? An Existential Detective Story,” pointed out that this line of thinking has a long and not-so illustrious history. What physicists today call the multiverse is known by philosophers as the “principle of plentitude” or “principle of fecundity”: every possible universe exists, and of all these possible worlds, the one we happen to live in is the known world."