Complex Systems Science
Brett W. Parris

Back to main page

Books
Papers
Quotes
Links


Books

Alligood, K.T., Sauer, T.D. and Yorke, J.A., (1996) Chaos: An Introduction to Dynamical Systems, Springer, New York, Berlin & Heidelberg, xvii + 603 pp.

Auyang, S.Y., (1998) Foundations of Complex System Theories: In Economics, Evolutionary Biology and Statistical Physics, Cambridge University Press, Cambridge, New York, Melbourne & Madrid, xii + 404 pp. [One of the best books on complex systems I have ever come across]

Axelrod, R., (1984) The Evolution of Cooperation, Basic Books, New York, 256 pp.

Batty, M., (2005) Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals, MIT Press, Cambridge, MA & London, xxiii + 565 pp.

Boccara, N., (2004) Modeling Complex Systems, Graduate Texts in Contemporary Physics; Springer-Verlag, New York, Berlin & Heidelberg, xii + 397 pp.

Davis, M. (Ed.) (2004) The Undecidable: Basic Papers on Undecidable Propositions, Unsolvable Problems and Computable Functions, Originally published in 1965 by Raven Press Books; Dover, Mineola, NY, 413  pp.

Dörner, D., (1996) The Logic of Failure: Recognizing and Avoiding Error in Complex Situations, trans. Kimber, R. and Kimber, R.; Originally published in German as Die Logik des Misslingens, 1989; Basic Books, New York, 222 pp.

Epstein, J.M. and Axtell, R., (1996) Growing Artificial Societies: Social Sciences from the Bottom Up, MIT Press, Cambridge, MA, xv + 208 pp.

Epstein, J.M., (2006) Generative Social Science: Studies in Agent-Based Computational Modeling, Princeton University Press, Princeton, NJ, xx + 356 pp.

Garey, M.R. and Johnson, D.S., (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness, W. H. Freeman & Co., New York, x + 338 pp.

Gilbert, N. and Troitzsch, K.G., (2005) Simulation for the Social Scientist, 2nd Edition; Open University Press, Maidenhead & New York, xi+295 pp.

Gimblett, H.R. (Ed.) (2002) Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes, Studies in the Sciences of Complexity; Oxford University Press for the Santa Fe Institute, Oxford & New York, xiv + 327  pp.

Gleick, J., (1988) Chaos: Making a New Science, Cardinal, London, xi + 352 pp.

Kiel, L.D. and Elliott, E. (Eds.), (1996) Chaos Theory in the Social Sciences: Foundations and Applications, University of Michigan Press, Ann Arbor, viii + 349  pp.

Medio, A., (1992) Chaotic Dynamics: Theory and Applications to Economics, Cambridge University Press, Cambridge, xv + 344 pp.

Medio, A. and Lines, M., (2001) Nonlinear Dynamics: A Primer, Cambridge University Press, Cambridge & New York, xiii + 300 pp.

Miller, J.H. and Page, S.E., (2007) Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press, Princeton, NJ, 284 pp.

NEW  Mitchell, M., (2009) Complexity: A Guided Tour, Oxford University Press, Oxford, xvi + 349 pp.

Steeb, W.-H., (2005) The Nonlinear Workbook: Chaos, Fractals, Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic with C++, Java and SymbolicC++ Programs, 3rd Edition; World Scientific, Singapore, xvii + 588 pp.

Strogatz, S.H., (1994) Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Westview Press, Cambridge, MA, xi + 497 pp.


Back to Top

Papers

Arthur, W.B., (1993) "Why Do Things Become More Complex?" Scientific American, Vol. 268, No. 5, May, p. 92.

Arthur, W.B., (1999) "Complexity and the Economy", Science, Vol. 284, No. 5411, 2 April, pp. 107-109.

Crutchfield, J.P., Farmer, J.D., Packard, N.H. and Shaw, R.S., (1986) "Chaos", Scientific American, Vol. 255, No. 6, December, pp. 38-49.

Egolf, D.A., (2000) "Equilibrium Regained: From Nonequilibrium Chaos to Statistical Mechanics", Science, Vol. 287, No. 5450, 7 January, pp. 101-104.

Ford, J., (1983) "How Random is a Coin Toss?" Physics Today, April, pp. 40-47.


Foster, J., (2005) "From Simplistic to Complex Systems in Economics", Cambridge Journal of Economics, Vol. 29, No. 6, November, pp. 873-892.

Lebowitz, J.L. and Penrose, O., (1973) "Modern Ergodic Theory", Physics Today, Vol. 26, No. 2, February, pp. 23-29.

Rosser, J.B., Jr., (1999) "On the Complexities of Complex Economic Dynamics", Journal of Economic Perspectives, Vol. 13, No. 4, Fall, pp. 169-192.

NEW  Rosser, J.B., Jr., (2010) "Is a Transdisciplinary Perspective on Economic Complexity Possible?" Journal of Economic Behavior & Organization, Vol. 75, No. 1, July, pp. 3-11.

Saari, D.G., (1995) "Mathematical Complexity of Simple Economics", Notices of the American Mathematical Society, Vol. 42, No. 2, February, pp. 222-230.

Wilson, K.G., (1979) "Problems in Physics with Many Scales of Length", Scientific American, Vol. 241, No. 2, August, pp. 140-157.

Back to Top
Quotes

On the difference between simple and simplistic
"I would not give a fig for the simplicity this side of complexity, but I would give my life for the simplicity on the other side of complexity."

U.S. Supreme Court Justice, Oliver Wendell Holmes Jr. - Source Unknown.


Sometimes 'simple' is just 'silly'
"Indeed, 'simplicity' is quite a complicated notion and I confess to considerable impatience when silly models are defended by virtue of their simplicity …"
Economist Frank Hahn, one of the architects of general equilibrium theory, in Hahn, F.H., (1994) "An Intellectual Retrospect", Banca Nazionale del Lavoro Quarterly Review, Vol. 47, No. 190, September, pp. 245-258; p. 251.


More is different
"An n-body problem for n = 1010 cannot be solved by extrapolating concepts and methods suitable to n = 2, not if the bodies interact."
Auyang, S.Y., (1998) Foundations of Complex System Theories: In Economics, Evolutionary Biology and Statistical Physics, Cambridge University Press, Cambridge, New York, Melbourne & Madrid, xii + 404 pp; p. 115.

Large complex systems are not simply scaled up versions of small, simple systems, which can be treated with the same tools.
"This assumption, encapsulated in the slogan “The whole is nothing but the sum of the parts,” is correct if the parts do not interact, but unrelated constituents make trivial systems. Interaction and relation among the constituents make the whole more than the sum of the parts so that a larger whole is not merely a larger sum. They form structures, generate varieties, produce complexity, and make composition important. Microreductionism thinks that interactive effects can be accounted for by the addition of “and relations” in its slogan. Without pausing to consider how relations are summed, the breezy addition is a self-deception that blinds it to the efforts of many sciences, including the largest branch of physics. The theoretical treatment of structure formation in large composite systems with interacting constituents is tremendously difficult. It introduces a whole new ball game in science. Systems with a few million interacting constituents are not magnified versions of systems with a few constituents. … We can adequately describe the solar system in terms of individual planetary motions, but we cannot comprehend a galaxy with billions of stars solely in terms of individual stellar motions To understand galaxies we need new theoretical apparatus, including galactic notions such as spiral arms."
Auyang, S.Y., (1998) Foundations of Complex System Theories: In Economics, Evolutionary Biology and Statistical Physics, Cambridge University Press, Cambridge, New York, Melbourne & Madrid, xii + 404 pp; pp. 4-5.


Why economic modelling is inherently more complex than modelling in other disciplines
"I want to emphasise strongly the point about economics being a moral science. … it deals with motives, expectations, psychological uncertainties. One has to be constantly on guard against treating the material as constant and homogeneous. It is as though the fall of an apple to the ground depended on the apple’s motives, on whether it is worth while falling to the ground, and whether the ground wanted the apple to fall, and on mistaken calculations on the part of the apple as to how far it was from the centre of the earth."
John Maynard Keynes in a letter to Roy Harrod on 16 July 1938 in Keynes, J.M., (1971-89) The Collected Writings of John Maynard Keynes, Macmillan & St Martin's Press for the Royal Economic Society, London & New York, Vol. XIV, p. 300.

Back to Top


Links

Center for Social Complexity - George Mason University

Centre for Research in Complex Systems (CRICS) - Charles Sturt University, Australia

CosNet - The Australian Research Council's (ARC's) Complex Open Systems Research Network. Join up - it's free and a very useful network.

Complex Systems Science at the CSIRO including a useful factsheet on complex systems.

Presentations from the excellent Complex 07 conference held on the Gold Coast from 2-5 July 2007 are available here.

The ARC Centre for Complex Systems

Complexity Digest - A news digest of publications & events related to complex systems science.

New England Complex Systems Institute - "A non-profit research and education institute developing new scientific methods, and applying them to the challenges of society." Based in Cambridge, Massachusetts.

Resilience Alliance - "A multidisciplinary research group that explores the dynamics of complex adaptive systems."

Santa Fe Institute - One of the mother ships of complex systems research.

Back to Top



Last updated: 16 July 2010
Copyright © Brett Parris, 2010. All rights reserved.
This is a personal web page and does not necessarily reflect the views of Monash University.
See the official disclaimer.
Back to Top