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{{2003 Complex Systems Summer School Santa Fe}}
 
{{2003 Complex Systems Summer School Santa Fe}}
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General Description
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An intensive introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. Open to students from all countries. Students are expected to attend the school for the full four weeks and to participate in group or individual projects.
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Location: June 8 to July 5, 2003, in Santa Fe, New Mexico, USA. Held at the campus of St. John's College. Administered by the Santa Fe Institute.
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Director: Jonathan Shapiro, University of Manchester
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Laboratory Director: Ray Goldstein, University of Arizona
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Week 1 - Intensive series of lectures and laboratories introducing foundational ideas and tools of complex systems research. The topics will include nonlinear dynamics, information theory, elements of statistical statistical mechanics, computation and complexity, and pattern formation, and evolutionary modelling.
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Weeks 2 and 3 - Lectures and panel discussions on current research in complex systems. Topics will include:
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    * Adaptation in Biological Systems
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    * Multi-agent systems
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    * Learning and adaptation in natural and artificial systems
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    * Evolution of Institutions
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    * Neuroeconomics
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    * Emergent Engineering
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(Further details on topics and speakers will be posted in January.)
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Week 4 - Completion and presentation of student projects.

Revision as of 23:18, 1 March 2010

2003 Complex Systems Summer School Santa Fe


General Description

An intensive introduction to complex behavior in mathematical, physical, living, and social systems for graduate students and postdoctoral fellows in the sciences and social sciences. Open to students from all countries. Students are expected to attend the school for the full four weeks and to participate in group or individual projects.

Location: June 8 to July 5, 2003, in Santa Fe, New Mexico, USA. Held at the campus of St. John's College. Administered by the Santa Fe Institute.

Director: Jonathan Shapiro, University of Manchester

Laboratory Director: Ray Goldstein, University of Arizona

Week 1 - Intensive series of lectures and laboratories introducing foundational ideas and tools of complex systems research. The topics will include nonlinear dynamics, information theory, elements of statistical statistical mechanics, computation and complexity, and pattern formation, and evolutionary modelling.

Weeks 2 and 3 - Lectures and panel discussions on current research in complex systems. Topics will include:

   * Adaptation in Biological Systems
   * Multi-agent systems
   * Learning and adaptation in natural and artificial systems
   * Evolution of Institutions
   * Neuroeconomics
   * Emergent Engineering

(Further details on topics and speakers will be posted in January.)

Week 4 - Completion and presentation of student projects.