313101 Agenten-basierte Simulation (V) (SoSe 2013)

Computational economics broadly defined consists of two sub-fields:

(i) Numerical solution of models, that is the computation of general equi-
librium and game-theoretic problems. This field can properly be seen as
numerical mathematics applied to economics.
(ii) Agent-based modelling and simulation, in which a simulation model rep-
resents the interactions of agents in a multi-agent system. This field can
be seen as computer science applied to social science problems.

This course deals with the second sub-field of agent-based modelling and simula-
tion. Students can expect to learn about the conceptual and theoretical aspects
of using ABMs in the social sciences.

Literaturangaben

Managing Business Complexity: Discovering Strategic Solutions with Agent-

Based Modeling and Simulation, by Michael J. North and Charles M.
Macal, 2007.

Selected Chapters from the ACE Handbook, by Leigh Tesfatsion and Kenneth Judd, 2005.