Difference between revisions of "Research on free energy rate density"

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(Bibliography)
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Koh, Heebyung, and Christopher L. Magee. 2006. [http://www.santafe.edu/~bn/reading_group/Koh_Magee_Information.pdf 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. http://www.santafe.edu/~bn/reading_group/Koh_Magee_Information.pdf.
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* Koh, Heebyung, and Christopher L. Magee. 2006. [http://www.santafe.edu/~bn/reading_group/Koh_Magee_Information.pdf 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. http://www.santafe.edu/~bn/reading_group/Koh_Magee_Information.pdf.
  
———. 2008. [http://www.santafe.edu/~bn/reading_group/Koh_Magee_Energy.pdf 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. .
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* ———. 2008. [http://www.santafe.edu/~bn/reading_group/Koh_Magee_Energy.pdf 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. [http://www.econ.yale.edu/~nordhaus/homepage/nordhaus_computers_jeh_2007.pdf Two centuries of productivity growth in computing]. The Journal of Economic History 67, no. 01: 128-159. .
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* Nordhaus, W. D. 2007. [http://www.econ.yale.edu/~nordhaus/homepage/nordhaus_computers_jeh_2007.pdf Two centuries of productivity growth in computing]. The Journal of Economic History 67, no. 01: 128-159. .

Revision as of 08:06, 14 September 2009

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).


Problem

  • How can we make this metric more precise and improve its data sets?
  • What are the limitations of this metric?
  • What happens if we use this metric for the early universe?
  • Can we complete the curve to understand the past (early universe) and the future (acceleration of technology)?

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

  • Bela Nagy
  • John Smart
  • Clément Vidal

other researchers who have published on this issue:

  • Robert Aunger
  • Eric Chaisson

Bibliography

See also: