Laboratory for Simulation Development

...because open source matters

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SIME '09 - Program

From Monday to Wednesday the course is made of lectures made of the presentation and comments on some aspect, e.g. a model using a particular LSD construct, followed by the replication by the class of the same exercise.

On Thursday morning there will be the presentation of methodological issues. In afternoon the students will be given a task, such as the definition of a model, to be implemented on Friday


  • Introduction: definitions of simulation models and simulation programs; introduction of LSD components. Download.
  • Linear model: implement the basic elements of a simulation. Download.
  • Chaotic model: edit the previous model and use the LSD analytical tools. Download.


  • Random walk: introduce (pseudo-)randomness and discuss the relation between model structure and equations' code. Download.
  • Replicator dynamics: basic evolutionary model of competition. Discuss the results and modify gradually a model. Download. Follow up slides.


  • B.Arthur network externality model. Competing technologies may invade even unfriendly markets. Download.
  • Smallwood and Conlisk model. Aggregate demand may, under condition, collect information not available to individual consumers. Dowload.
  • Scientific simulations in social sciences. Propose an epystemological framework and a practical protocol to develop and assess simulation models. Download.
  • Assignments. Definition of a project to be implemented, either proposed by the student or supplied by the staff.


  • Implementation of the assignment and conclusions




  • Evolutionary theory: introduction and examples. Download 



Last Updated on Thursday, 14 May 2009 13:57