December 30, 2010
Forget a Theory of Everything; The New Game in Town, A Simulation of Everything
Gareth Morgan in the BBC:
An international group of scientists are aiming to create a simulator that can replicate everything happening on Earth - from global weather patterns and the spread of diseases to international financial transactions or congestion on Milton Keynes' roads.
Nicknamed the Living Earth Simulator (LES), the project aims to advance the scientific understanding of what is taking place on the planet, encapsulating the human actions that shape societies and the environmental forces that define the physical world.
"Many problems we have today - including social and economic instabilities, wars, disease spreading - are related to human behaviour, but there is apparently a serious lack of understanding regarding how society and the economy work," says Dr Helbing, of the Swiss Federal Institute of Technology, who chairs the FuturICT project which aims to create the simulator.
Knowledge collider
Thanks to projects such as the Large Hadron Collider, the particle accelerator built by Cern, scientists know more about the early universe than they do about our own planet, claims Dr Helbing.
What is needed is a knowledge accelerator, to collide different branches of knowledge, he says.
"Revealing the hidden laws and processes underlying societies constitutes the most pressing scientific grand challenge of our century."
The result would be the LES. It would be able to predict the spread of infectious diseases, such as Swine Flu, identify methods for tackling climate change or even spot the inklings of an impending financial crisis, he says.
But how would such colossal system work?
See also this discussion on "Why Do We Need Predictions?" in the NYT.
Posted by Robin Varghese at 05:25 PM | Permalink






















Comments
As always, you can never quite be sure with science journalism, but these "scientists" appear to be deeply confused about the essential limitations and difficulties facing this kind of project.
I, a casual observer of the sciences and not a scientist, know that "global weather patterns and the spread of diseases" are chaotic systems, and that there are thus deep limits to what we can predict about these phenomena.
One would think, then, that facing this kind of momentous problem, the scientists would have some incredible new source of data to give us some hope that the debilitating chaos and complexity of these systems could somehow be surmounted. When we proceed to read that Wikipedia, Google Maps and Facebook are at the top of this list, we can only shake our heads and wonder. Even if we gained access to all of Google's data, what possible reason would we have to suspect that it would represent reality?
Posted by: Nick Smyth | Dec 31, 2010 12:31:53 PM
Dear Nick Smyth,
I absolutely agree with you when you say: "global weather patterns and the spread of diseases" are chaotic systems, and that there are thus deep limits to what we can predict about these phenomena.
The key word here is "predict". It's the very fact that we can't predict the behaviour of chaotic systems that has motivated us to be creative. Namely, instead of trying to predict the behaviour of some phenomena, we replicate the initial conditions of the thing we want to predict, and then we observe what happens.
How do we know this is an accurate representation of reality? We see how much the simulation resembles reality.
Posted by: Michael Lopresto | Jan 1, 2011 11:04:11 AM
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