LSD Course

The slides below offer a self-teaching course on the major features on LSD and their application on the construction of real models. The course does not require prior programming experience. The sequence presented follows the recommended learning path.

File	Description
Introduction	Introduction to LSD and contents of the course
Lesson 1	Introduction to simulations Introduction to LMM and to LSD Generating the simplest model: single variable with linear dynamics
Lesson 2	Logistic chaotic model Using the LSD Analysis of Results module
Extra activity	Random walk model LSD Model structure and simulation manager
Lesson 3	Replicator dynamics model Lagged variables and dead-lock errors
Lesson 4	Extending the replicator dynamics model Random events in simulations
Lesson 5	Brian Arthur’s network externalities model
Lesson 6	More on network externalities model Fashion waves model
Lesson 7	Smallwood and Conlisk model on consumers choice

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