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Saturday, December 11, 2010

Complex System

Ecologist Eric Berlow doesn't feel overwhelmed when faced with complex systems. He knows that more information can lead to a better, simpler solution. Illustrating the tips and tricks for breaking down big issues, he distills an overwhelming infographic on U.S. strategy in Afghanistan to a few elementary points.



I agree with the talk as understanding big terms as 'development' and 'sustainablity' is like dealing with the complex system. I have myself reached this conclusion with the help of fluid dynamics. That might sound like an unconventional explanation for the readers. When you create any index or threshold level, it is like checking turbulence and laminar in the flow of fluid. Turbulence is flow characterized by recirculation, eddies, and apparent randomness. Flow in which turbulence is not exhibited is called laminar. And therefore many conditions should be included before making any empirical formula.

This talk helps in understanding interconnectivity of the subjects and diversity needed in the education. Monitoring, managing, and coordinating the information collection and cataloging of activities of a process result in huge amount of data and interconnected sub - process. The broad spectrum can only be understand in the simpler way by going from basics to complex looking phase and returning with the simpler explanation. Now, the level of dependence of process on various parameters can be well defined and analysed.

This we often do in the Mathematics. From rockets to stock markets, many of humanity's most thrilling creations are powered by math. So why do kids lose interest in it? Conrad Wolfram says the part of math we teach -- calculation by hand -- isn't just tedious, it's mostly irrelevant to real mathematics and the real world. He presents his radical idea: teaching kids math through computer programming.



The fear of people to deal with complexity and maths hinders the establishing process to reach the estimative conclusion. Nature does not work in the mysterious way. The mystery element is little complex yet transparent for observation for everyone. We need for computing and less repetition !

Example: Key observations from the ICKM conference this year (October, 2010 ) by Nimmy,


Quote of the Day: Make everything as simple as possible, but not simpler. - Albert Einstein

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