Difference between revisions of "Conference 2013"

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<h1 style="font-size:200%">'''Evolution and Development of the Universe'''</h1></center>
 
<h1 style="font-size:200%">'''Evolution and Development of the Universe'''</h1></center>
 
Proposed EDU 2012 Theme:<BR>
 
Proposed EDU 2012 Theme:<BR>
=== Complexity Transitions in Big History: Transition Definitions, Growth Curve Hypotheses, and Future Scenarios ===
+
=== The Physics of Performance Curves: Transition Definitions, Growth Curve Hypotheses, and Future Scenarios ===
  
 
'''Purposes:'''<BR>
 
'''Purposes:'''<BR>
'''1.''' Explore a Variety of Complexity Transition Definitions for Big History: Thermodynamic, Informational-Computational, Evolutionary, Developmental, Integrative, and Systemic<BR>
+
What models do we have for the physical basis of technology and complexity performance curves?<BR>
'''2.''' Associate these Definitions with a Variety of Tentative Growth Curve Hypotheses: Superexponential, Exponential, Logistic, and Other<BR>
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Are these curves representative of undiscovered physical law or constraint, of economic or psychological expectations, or some other effect?
'''3.''' Consider A Range of Transition and Growth Curve Scenarios Implied by these Hypotheses for the Future of Technological Innovation and Sustainability.<BR>
+
Can we develop general theories for any classes of performance curves?
 +
How do functional (physical process) performance curves differ from computational and informational performance curves?
 +
When does exponential performance end in any performance curve? When does it substitute?
 +
What explains the "smoothness" and predictability we find in many performance curves?
 +
What physical processes differentiate superexponential, exponential, logistic, life cycle, and other curves? 
 +
What do exponential and superexponential performance and efficiency curves imply for the future of technological innovation and sustainability?<BR>
 
<BR>
 
<BR>
 
We wish to seek out and network transition scholars, periodization, and acceleration, multi-level evolution and development scholars, world system modelers, and their critics. Scholars who approach evolutionary transitions from thermodynamic, informational-computational, evolutionary, developmental, integrative, and systemic perspectives are particularly desired. We will seek to compare logistic, exponential, and superexponential models arising from a variety of complexity transition definitions, and finally, explore a range of scenarios these models propose for the future of innovation and sustainability, underscoring the great technical, political, economic, and social value of better scholarship and science in this area.<BR>
 
We wish to seek out and network transition scholars, periodization, and acceleration, multi-level evolution and development scholars, world system modelers, and their critics. Scholars who approach evolutionary transitions from thermodynamic, informational-computational, evolutionary, developmental, integrative, and systemic perspectives are particularly desired. We will seek to compare logistic, exponential, and superexponential models arising from a variety of complexity transition definitions, and finally, explore a range of scenarios these models propose for the future of innovation and sustainability, underscoring the great technical, political, economic, and social value of better scholarship and science in this area.<BR>

Revision as of 00:21, 11 November 2010

EDUGraphicBig.jpg


Second International Conference on the

Evolution and Development of the Universe

Proposed EDU 2012 Theme:

The Physics of Performance Curves: Transition Definitions, Growth Curve Hypotheses, and Future Scenarios

Purposes:
What models do we have for the physical basis of technology and complexity performance curves?
Are these curves representative of undiscovered physical law or constraint, of economic or psychological expectations, or some other effect? Can we develop general theories for any classes of performance curves? How do functional (physical process) performance curves differ from computational and informational performance curves? When does exponential performance end in any performance curve? When does it substitute? What explains the "smoothness" and predictability we find in many performance curves? What physical processes differentiate superexponential, exponential, logistic, life cycle, and other curves? What do exponential and superexponential performance and efficiency curves imply for the future of technological innovation and sustainability?

We wish to seek out and network transition scholars, periodization, and acceleration, multi-level evolution and development scholars, world system modelers, and their critics. Scholars who approach evolutionary transitions from thermodynamic, informational-computational, evolutionary, developmental, integrative, and systemic perspectives are particularly desired. We will seek to compare logistic, exponential, and superexponential models arising from a variety of complexity transition definitions, and finally, explore a range of scenarios these models propose for the future of innovation and sustainability, underscoring the great technical, political, economic, and social value of better scholarship and science in this area.

Location: (TBD).

We are presently developing a proposal to host EDU 2012 at a U.S. venue. If you have an interest in working on the EDU 2012 conference development committee, sponsoring the event, or providing other assistance, please contact Clément Vidal and/or John Smart.