Difference between revisions of "Module:Emergence"
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Revision as of 17:54, 29 June 2011
|Complex Systems Summer School 2011 Modules|
For the upcoming Emergence module, there will be two options at the practical Tuesday afternoon:
1. for those who have group projects that they are excited about, James and I will join in discussions about how concepts and tools from the lectures can be usefully applied.
2. for those who want focused practice, we will have a guided practical, outlined on the worksheet, on topological defects and the dynamics of phase transitions as applied to physical, biological and social systems.
Some influential views on emergence
- "More is Different" (P.W. Anderson)
- The Calculi of Emergence & Computation at the Onset of Chaos (J. Crutchfield, et al.)
- Weak Emergence (M. Bedau; I disagree with MB, but his view is popular and held by many respectable people.)
Background concepts, tools and techniques
Many different fields invent similar tools to study emergent phenomena; browse through these below as you like, following in greater depth those that fit your skill set and interests.
- Scaling, Universality, and Renormalization: Three pillars of modern critical phenomena (E. Stanley; physics-centric, but not too painful.)
- Effective Field Theories, Reductionism and Scientific Explanation (S. Hartmann; a philosopher of science looks in detail at the methods of Effective Field Theories in Quantum Fields, a case study for many of the concepts that will appear during the module.)
- Stanford Encyclopedia entry on Supervenience (a useful concept to keep in mind when thinking about higher-level, or emergent, properties in a system.)
- Levels of Selection: An Alternative to Individualism in the Biological and Social Sciences (David Sloan Wilson; a nice example of the importance of levels thinking, and how aggregate properties and laws arise.)
Useful, but not directly related
- Information Theory and Statistical Mechanics (E.T. Jaynes; technical paper. The foundation of Maximum Entropy methods, that show how to extend thermodynamic analogies to non-physical systems and inference problems.)
(Content from the 2009/2010 Wikis)
- Complexity. An Informative Itinerary
- Collective Cognition in Animal Groups
- Collective Motion and Cannibalism in Locust Migratory Bands
- Collective Minds
- Effective Leadership and Decision-Making in Animal Groups on the Move
Iain's Lecture Slides