Emergence (biology)/External Links: Difference between revisions
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imported>John R. Brews (Cosma Shalizi) |
imported>John R. Brews (the units are not independent because they interact with each other) |
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*{{cite web |title=Chaos, complexity, and inference; Lecture 9: Emergence and self organization |url=http://www.stat.cmu.edu/~cshalizi/462/lectures/09/09.pdf |author=Cosma Shalizi |date=February 10, 2009 |accessdate=2012-09-01}} A lecture covering basic concepts that contains some useful references and images. | *{{cite web |title=Chaos, complexity, and inference; Lecture 9: Emergence and self organization |url=http://www.stat.cmu.edu/~cshalizi/462/lectures/09/09.pdf |author=Cosma Shalizi |date=February 10, 2009 |accessdate=2012-09-01}} A lecture covering basic concepts that contains some useful references and images. Several following lectures in this series with some bearing upon emergence are: | ||
**{{cite web |title=Chaos, complexity, and inference; Lecture 10: Cellular automata |url=http://www.stat.cmu.edu/~cshalizi/462/lectures/10/10.pdf |author=Cosma Shalizi |date=February 12, 2009 |accessdate=2012-09-01}} Local and global rules. | |||
**{{cite web |title=Chaos, complexity, and inference; Lecture 11: Excitable media |url=http://www.stat.cmu.edu/~cshalizi/462/lectures/10/10.pdf |author=Cosma Shalizi |date=February 17, 2009 |accessdate=2012-09-01}} Mechanisms for pattern formation. | |||
**{{cite web |title=Chaos, complexity, and inference; Lecture 12: Quantifying self-organization |url=http://www.stat.cmu.edu/~cshalizi/462/lectures/12/12.pdf |author=Cosma Shalizi |date=August 13, 2009 |accessdate=2012-09-01}} Discusses complexity. | |||
**Links to other lectures in this series found [http://www.stat.cmu.edu/~cshalizi/462/lectures/ here] | |||
*A technical model of a mathematical system exhibiting emergence: {{cite journal |title=On the mathematics of emergence� |journal=Japanese Journal of Mathematics |author=Filipe Cucker, Steve Smale |date=October 17, 2006 |url=http://ttic.uchicago.edu/~smale/papers/math-of-emergence.pdf |volume= 2 |issue= 1 |year=2007|pages=197-227 |doi= 10.1007/s11537-007-0647-x}} | |||
*[http://plato.stanford.edu/archives/spr2012/entries/properties-emergent/ Emergent Properties]. O'Connor, Timothy and Wong, Hong Yu. ''The Stanford Encyclopedia of Philosophy (Spring 2012 Edition)'', Edward N. Zalta (ed.) | |||
*[http://www.pbs.org/wgbh/nova/education/viewing/3410_03_nsn.html NOVAScienceNOW: Emergence]. Video and text online. | |||
**<font face="Gill Sans MT">Scientists describe emergence, a science that studies how complex patterns and behaviors arise from the cooperative actions of individual units.</font> |
Latest revision as of 05:11, 6 October 2012
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- Cosma Shalizi (February 10, 2009). Chaos, complexity, and inference; Lecture 9: Emergence and self organization. Retrieved on 2012-09-01. A lecture covering basic concepts that contains some useful references and images. Several following lectures in this series with some bearing upon emergence are:
- Cosma Shalizi (February 12, 2009). Chaos, complexity, and inference; Lecture 10: Cellular automata. Retrieved on 2012-09-01. Local and global rules.
- Cosma Shalizi (February 17, 2009). Chaos, complexity, and inference; Lecture 11: Excitable media. Retrieved on 2012-09-01. Mechanisms for pattern formation.
- Cosma Shalizi (August 13, 2009). Chaos, complexity, and inference; Lecture 12: Quantifying self-organization. Retrieved on 2012-09-01. Discusses complexity.
- Links to other lectures in this series found here
- A technical model of a mathematical system exhibiting emergence: Filipe Cucker, Steve Smale (October 17, 2006). [http://ttic.uchicago.edu/~smale/papers/math-of-emergence.pdf "On the mathematics of emergence�"]. Japanese Journal of Mathematics 2 (1): 197-227. DOI:10.1007/s11537-007-0647-x. Research Blogging.
- Emergent Properties. O'Connor, Timothy and Wong, Hong Yu. The Stanford Encyclopedia of Philosophy (Spring 2012 Edition), Edward N. Zalta (ed.)
- NOVAScienceNOW: Emergence. Video and text online.
- Scientists describe emergence, a science that studies how complex patterns and behaviors arise from the cooperative actions of individual units.