Selection Tinkering and Emergence in Complex Networks: Difference between revisions
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'''Date: June | '''Date: June 24, 2008''' | ||
''Venue: | ''Venue: Googleplex, Mountain View, CA'' | ||
This meeting will search for general principles of organization and evolution of natural and artificial systems changing through local rules based on reuse of previously existing substructures. Such a process of "tinkering" makes a big difference (at least in principle) when comparing biological structures and man-made artifacts. As pointed out by the French biologist François Jacob, the engineer is able to foresee the future use of the artifact (i.e. it acts as a designer) whereas evolution does not. The first can ignore previous designs, whereas the second is based on changes taking place by using available structures. | This meeting will search for general principles of organization and evolution of natural and artificial systems changing through local rules based on reuse of previously existing substructures. Such a process of "tinkering" makes a big difference (at least in principle) when comparing biological structures and man-made artifacts. As pointed out by the French biologist François Jacob, the engineer is able to foresee the future use of the artifact (i.e. it acts as a designer) whereas evolution does not. The first can ignore previous designs, whereas the second is based on changes taking place by using available structures. | ||
In spite of its apparent drawbacks, tinkering has been able to generate most complex structures observable in the real world (including some in the technological world). Very often, the resulting structures share common principles of organization, suggesting that convergent evolution towards a limited number of basic plans is inevitable. How innovations emerge through evolution is one of the key problems in complexity, and this meeting will focus towards understanding these problems, using several scales of analysis - from cellular networks and tissues to ecosystems - and using network approaches as a quantitative characterization of such complexity. | In spite of its apparent drawbacks, tinkering has been able to generate most complex structures observable in the real world (including some in the technological world). Very often, the resulting structures share common principles of organization, suggesting that convergent evolution towards a limited number of basic plans is inevitable. How innovations emerge through evolution is one of the key problems in complexity, and this meeting will focus towards understanding these problems, using several scales of analysis - from cellular networks and tissues to ecosystems - and using network approaches as a quantitative characterization of such complexity. | ||
This meeting is co-sponsored by Google. | |||
'''Please download the recommended readings:''' | |||
*[[Image:Jacobs.Science.Jun77.pdf]] | |||
*[[Image: SoleValverde.IEEE.06.pdf]] | |||
*[[Image:SoleValverde.PhysicalReview.05.pdf]] | |||
*[[Image:SoleValverde.Europhysics.Dec05.pdf]] | |||
*[[Image:SoleValverde.JRS.Jul07.pdf]] | |||
*[[Image:SoleValverde.Complexity.03.pdf]] | |||
*[[Image:ClausetMooreNewman.Nature.May08.pdf]] | |||
*[[Image:Crutchfield.ALife.08.pdf]] | |||
*[[Image:Crutchfield.ProcRoyalSociety.06.pdf]] | |||
*[[Image:Crutchfield.SFIWP.07.pdf]] | |||
Latest revision as of 22:44, 18 June 2008
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*Please note that most events are by invitation only.
Date: June 24, 2008
Venue: Googleplex, Mountain View, CA
This meeting will search for general principles of organization and evolution of natural and artificial systems changing through local rules based on reuse of previously existing substructures. Such a process of "tinkering" makes a big difference (at least in principle) when comparing biological structures and man-made artifacts. As pointed out by the French biologist François Jacob, the engineer is able to foresee the future use of the artifact (i.e. it acts as a designer) whereas evolution does not. The first can ignore previous designs, whereas the second is based on changes taking place by using available structures.
In spite of its apparent drawbacks, tinkering has been able to generate most complex structures observable in the real world (including some in the technological world). Very often, the resulting structures share common principles of organization, suggesting that convergent evolution towards a limited number of basic plans is inevitable. How innovations emerge through evolution is one of the key problems in complexity, and this meeting will focus towards understanding these problems, using several scales of analysis - from cellular networks and tissues to ecosystems - and using network approaches as a quantitative characterization of such complexity.
This meeting is co-sponsored by Google.
Please download the recommended readings: