Complex dynamical systems Aalborg University, 2010
	The course covers the analysis and simulation complex system dynamics, with special emphasis on evolutionary dynamics. It is part of the MIKE-e Master Programme at Aalborg University. It is organised by Esben Sloth Andersen, and it ends with an exam based on a project report. Purpose, syllabus, and course plan Materials for individual sessions (The slides can only be downloaded from computers at the Aalborg University campus; the numbering has changed since last year!) Lecture 1 on the evolutionary dynamics of games: view pdf | print [rev. 12 Mar 2010] Lecture 2 on stochastic dynamics and simulation: view pdf | print [rev. 17 Mar 2010] Lecture 3 on the understanding and formal analysis of dynamical systems: view pdf | print [rev. 24 Mar 2010] Tutorial 1 on the Laboratory for Simulation Development (Lsd): view pdf | print [rev. 25 Mar 2010] Tutorial 2 on the Arthur model and the Fashion Wave model: view pdf | print [rev. 6 Mar 2010] Code for the Arthur model to be inserted between MODELBEGIN and MODELEND, and not changing anything Description of the Arthur model to be inserted in the description in LMM Lsd structure for the Arthur model to be copied to the folder Work/ArthurNew/ Code for the Fashion model to be inserted between MODELBEGIN and MODELEND, and not changing anything Description of the Fashion model to be inserted in the description in LMM Lsd structure for the Fashion model to be copied to the folder Work/Fashion/ Tutorial 3 on your own experiments with the Arthur model Seminar on the preliminary versions of the student reports Materials for other sessions from earlier years Perspectives for evolutionary modelling: view pdf | view slideshow | print [rev. 19 Mar 2007] Tools and literature The simulation platform used in the course is the Laboratory for Simulation Development (Lsd), which can be downloaded from www.business.aau.dk/lsd/lsd.html Nowak, M.A. (2006), Evolutionary Dynamics: Exploring the Equations of Life, Cambridge, Mass.: Harvard University Press, pp. 45-91. Arthur, W.B. (1989), Competing technologies, increasing returns, and lock-in by historical events, Economic Journal, 99: 116-131. Witt, U. (1997), "Lock-in" vs. "critical masses": Industrial change under network externalities, International Journal of Industrial Organization, 15: 753-773. Andersen, E.S. (2004), Population thinking, Price's equation and the analysis of economic evolution, Evolutionary and Institutional Economics Review, 1: 127-148. Andersen, E.S. (2007), Deterministic and stochastic system dynamics, Slides for the MIKE-DE Course. Kwasnicki, W. (1999), Evolutionary economics and simulation, in T. Brenner (ed.): Computational Techniques for Modelling Learning in Economics, Boston: Kluwer. Valente, M. (2004), Using LSD for simulation in the social sciences, Manual for the Laboratory for Simulation Development.
Maintained by Esben Sloth Andersen, email: esa@business.aau.dk. Revision: 06 April 2010, 08:04.