Difference between revisions of "Research on free energy rate density"
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* [http://www.lshtm.ac.uk/people/aunger.robert Robert Aunger] | * [http://www.lshtm.ac.uk/people/aunger.robert Robert Aunger] | ||
* [http://www.tufts.edu/as/wright_center/eric/ericpage.html Eric Chaisson] | * [http://www.tufts.edu/as/wright_center/eric/ericpage.html Eric Chaisson] | ||
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| + | == Tools == | ||
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| + | Bela Nagy did set up a website about [http://pcdb.santafe.edu Performance Curve Database] to explore progress in technology. The website allows researchers to download and upload datasets. See also the [video introduction http://www.youtube.com/watch?v=4X1lC9RsTUA]. | ||
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== Bibliography == | == Bibliography == | ||
Revision as of 11:17, 13 October 2009
Contents
Situation
A metric to characterize the complexity of physical, biological and cultural systems in the universe has been proposed by Chaisson (2001; 2003) (see below).
Problems
- How can we make this metric more precise and improve its data sets?
- What are the limitations of this metric?
- Can we complete the curve to understand the past (early universe) and the future (acceleration of technology)?
- What happens if we use this metric for the early universe?
- How well does the free energy rate density curve fit with Moore's law? If we extrapolate those two trends, do they still fit?
Progressing on these issues
We are looking for cosmologists to use this metric on the early universe. We are looking for technology scholars and statisticians to extrapolate the curve to the future.
Benefits
Such a quantitative understanding will allow us to better characterize the evolution of complexity in our universe.
People Interested
other researchers who have published on this issue:
Tools
Bela Nagy did set up a website about Performance Curve Database to explore progress in technology. The website allows researchers to download and upload datasets. See also the [video introduction http://www.youtube.com/watch?v=4X1lC9RsTUA].
Bibliography
- Aunger, Robert. 2007a. A rigorous periodization of 'big' history. Technological Forecasting and Social Change 74, no. 8 (October): 1164-1178. doi:10.1016/j.techfore.2007.01.007.
- ———. 2007b. Major transitions in 'big' history. Technological Forecasting and Social Change 74, no. 8 (October): 1137-1163. doi:10.1016/j.techfore.2007.01.006.
- Chaisson, E.J. (2001) Cosmic Evolution: The Rise of Complexity in Nature, Harvard U. Press. ISBN 067400342X
- Chaisson, E.J. (2003) A Unifying Concept for Astrobiology, International Journal of Astrobiology, 2:91-101.
See also:
- Koh, Heebyung, and Christopher L. Magee. 2006. A functional approach for studying technological progress: Application to information technology. Technological Forecasting and Social Change 73, no. 9 (November): 1061-1083. doi:10.1016/j.techfore.2006.06.001.
- ———. 2008. A functional approach for studying technological progress: Extension to energy technology. Technological Forecasting and Social Change 75, no. 6 (July): 735-758. doi:10.1016/j.techfore.2007.05.007. .
- Nordhaus, W. D. 2007. Two centuries of productivity growth in computing. The Journal of Economic History 67, no. 01: 128-159. .
