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CSSS 2006 Beijing-Readings: Difference between revisions

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{{CSSS 2006 Beijing}}
{{CSSS 2006 Beijing}}


Below are some readings that can provide some background for some of the lectures and/or that you can read after the lecturers to pursue some ideas further.  These readings are ''not'' required.  I will be updating this list fairly frequently.  --[[User:Dpf|Dpf]] 19:15, 26 June 2006 (MDT)


__FORCETOC__


=== General Background ===


Below are some readings that can provide some background for some of the lectures and/or that you can read after the lecturers to pursue some ideas further.


James Crutchfield, [[Media:Crutchfield.order.and.chaos.pdf|What Lies between Order and Chaos?]], in ''Art and Complexity'', J. Casti, editor, Oxford University Press (2002).  An interesting, non-technical essay discussing how new patterns are discovered, and how complexity arises from the interplay between order and chaos.  This is an excellent introduction to the notions of complexity and emergence, and history of one strand of the study of complex systems.
[http://cob.jmu.edu/rosserjb/ J.B. Rosser], [http://cob.jmu.edu/rosserjb/GENERIC.CPX.doc On the Complexities of Complex Economic Dynamics].  ''Journal of Economic Perspectives''. '''13''':169-192.  1999.  I've only read about half of this.  It strikes me as a thorough, even-handed review of the applications of "complexity theory" to economics.  Presents good spectrum of views, from those who think complexity is mostly hype, to those who believe it has contributed significant new understandings.  Contains around 125 references. [http://ideas.repec.org/a/aea/jecper/v13y1999i4p169-192.html pdf format, for AEA members].




Cosma Shalizi, [[Media:Shalizi.overview.pdf|Methods and Techniques of Complex Systems Science: An Overview]].  Chapter 1 (pp. 33--114) in Thomas S. Deisboeck and J. Yasha Kresh (eds.), ''Complex Systems Science in Biomedicine'' (New York: Springer, 2006.)  This is an excellent, thorough review of the "field" -- to the extent that there is such a thing -- of complex systems.  Covers many tools: statistical learning and model selection; time series analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways of measuring complexity.  Contains over 250 references.  Also available [http://arxiv.org/abs/nlin.AO/0307015 here].
== Readings Associated with Particular Lecturers ==


----
=== Week One ===
 
=== Readings Associated with Particular Lecturers ===
 
Lecturers are listed in order of appearance.




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'''Herb Gintis'''
=== Week Two ===
 
 


Herbert Gintis, [[Media:Unity-bbs.pdf|A Framework for the Unification of the Behavioral Sciences]].  ''Behavioral and Brain Sciences'', forthcoming 2006.  Parts of Herb's lectures will be based on this paper.
=== Week Three ===




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*Altenberg, L. , 2004. [http://dynamics.org/Altenberg/PAPERS/OPSAED/ Open Problems in the Spectral Analysis of Evolutionary Dynamics] presents a mathematical framework for evolutionary optimization and some of its unsolved problems.   
*Altenberg, L. , 2004. [http://dynamics.org/Altenberg/PAPERS/OPSAED/ Open Problems in the Spectral Analysis of Evolutionary Dynamics] presents a mathematical framework for evolutionary optimization and some of its unsolved problems.   
*Altenberg, L. , 2004. [http://dynamics.org/Altenberg/PAPERS/MESLLQ/ Modularity in Evolution: Some Low Level Questions] deconstructs the concept of modularity in terms of spaces of variation, and discusses properties needed for modularity to enhance evolvability.
*Altenberg, L. , 2004. [http://dynamics.org/Altenberg/PAPERS/MESLLQ/ Modularity in Evolution: Some Low Level Questions] deconstructs the concept of modularity in terms of spaces of variation, and discusses properties needed for modularity to enhance evolvability.
=== Week Four ===
'''Herb Gintis'''
Herbert Gintis, [[Media:Unity-bbs.pdf|A Framework for the Unification of the Behavioral Sciences]].  ''Behavioral and Brain Sciences'', forthcoming 2006.  Parts of Herb's lectures will be based on this paper.
== General Background ==
James Crutchfield, [[Media:Crutchfield.order.and.chaos.pdf|What Lies between Order and Chaos?]], in ''Art and Complexity'', J. Casti, editor, Oxford University Press (2002).  An interesting, non-technical essay discussing how new patterns are discovered, and how complexity arises from the interplay between order and chaos.  This is an excellent introduction to the notions of complexity and emergence, and history of one strand of the study of complex systems.
[http://cob.jmu.edu/rosserjb/ J.B. Rosser], [http://cob.jmu.edu/rosserjb/GENERIC.CPX.doc On the Complexities of Complex Economic Dynamics].  ''Journal of Economic Perspectives''. '''13''':169-192.  1999.  I've only read about half of this.  It strikes me as a thorough, even-handed review of the applications of "complexity theory" to economics.  Presents good spectrum of views, from those who think complexity is mostly hype, to those who believe it has contributed significant new understandings.  Contains around 125 references. [http://ideas.repec.org/a/aea/jecper/v13y1999i4p169-192.html pdf format, for AEA members].
Cosma Shalizi, [[Media:Shalizi.overview.pdf|Methods and Techniques of Complex Systems Science: An Overview]].  Chapter 1 (pp. 33--114) in Thomas S. Deisboeck and J. Yasha Kresh (eds.), ''Complex Systems Science in Biomedicine'' (New York: Springer, 2006.)  This is an excellent, thorough review of the "field" -- to the extent that there is such a thing -- of complex systems.  Covers many tools: statistical learning and model selection; time series analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways of measuring complexity.  Contains over 250 references.  Also available [http://arxiv.org/abs/nlin.AO/0307015 here].

Revision as of 14:40, 11 July 2006

CSSS 2006 Beijing



Below are some readings that can provide some background for some of the lectures and/or that you can read after the lecturers to pursue some ideas further.


Readings Associated with Particular Lecturers

Week One

Andreas Wagner

Genome-scale Biological Networks. These are the slides that Andreas will use for his lectures. We will make hard copies available at the CSSS.


Henry Wright

This file introduces you to the web resources for Part 1 of Henry Wright's Presentation at the 2006 CSSS in Beijing. Here are some other readings associated with Henry Wright's talks:

Part One- Foragers and the Emergence of Agriculture

Part Two- Villages and the Emergernce of Tribal Alliance Systems

Part Three- Raising Civilizations


Dave Feldman

Annotated bibliography to accompany Dave's lectures. In addition to references specific to the lecture topics, there are also a number of general complex systems references.

Further reading

  • J.P. Crutchfield and D. P. Feldman Regularities Unseen, Randomness Observed: Levels of Entropy Convergence. Chaos, 2003. 15: 25-54. 2003. cond-mat:0102181. This is a long paper discussing the entropy rate and excess entropy and including many different examples.


Cosma Shalizi

M. E. J. Newman, Power laws, Pareto distributions and Zipf's law, Contemporary Physics 46, 323-351 (2005). An excellent paper. Good background for Cosma's lecture on power laws.

C. R. Shalizi and K. L. Klinkner, "Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences", Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference (UAI 2004), pp. 504--511. Best description of the CSSR algorithm; helpful for third lecture. cs.LG/0406011

K. L. Klinkner, C. R. Shalizi and M. F. Camperi, "Measuring Shared Information and Coordinated Activity in Neuronal Networks", Advances in Neural Information Processing Systems 18 (NIPS 2005), pp. 667--674. Using CSSR to measure information sharing in networks (not just neural ones). q-bio.NC/0506009


Week Two

Week Three

Lee Altenberg


Week Four

Herb Gintis

Herbert Gintis, A Framework for the Unification of the Behavioral Sciences. Behavioral and Brain Sciences, forthcoming 2006. Parts of Herb's lectures will be based on this paper.



General Background

James Crutchfield, What Lies between Order and Chaos?, in Art and Complexity, J. Casti, editor, Oxford University Press (2002). An interesting, non-technical essay discussing how new patterns are discovered, and how complexity arises from the interplay between order and chaos. This is an excellent introduction to the notions of complexity and emergence, and history of one strand of the study of complex systems.

J.B. Rosser, On the Complexities of Complex Economic Dynamics. Journal of Economic Perspectives. 13:169-192. 1999. I've only read about half of this. It strikes me as a thorough, even-handed review of the applications of "complexity theory" to economics. Presents good spectrum of views, from those who think complexity is mostly hype, to those who believe it has contributed significant new understandings. Contains around 125 references. pdf format, for AEA members.

Cosma Shalizi, Methods and Techniques of Complex Systems Science: An Overview. Chapter 1 (pp. 33--114) in Thomas S. Deisboeck and J. Yasha Kresh (eds.), Complex Systems Science in Biomedicine (New York: Springer, 2006.) This is an excellent, thorough review of the "field" -- to the extent that there is such a thing -- of complex systems. Covers many tools: statistical learning and model selection; time series analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways of measuring complexity. Contains over 250 references. Also available here.