Simulating Complex Social Behaviour With the Genetic Action Tree Kernel

Computational and Mathematical Organization Theory, Vol. 13, No. 4, pp. 355-377

Posted: 9 Apr 2007 Last revised: 28 Oct 2007

See all articles by Thorsten Chmura

Thorsten Chmura

University of Bonn - Faculty of Law & Economics; Nottingham University Business School

Johannes Kaiser

University of Bonn - Laboratory for Experimental Economics

Thomas Pitz

University of Bonn

Abstract

The concept of genetic action trees combines action trees with genetic algorithms. In this paper, we create a multi-agent simulation on the base of this concept and provide the interested reader with a software package to apply genetic action trees in a multi-agent simulation to simulate complex social behaviour. An example model is introduced to conduct a feasibility study with the described method. We find that our library can be used to simulate the behaviour of agents in a complex setting and observe a convergence to a global optimum in spite of the absence of stable states.

Keywords: multi-agent system, genetic algorithm, action trees, social simulation

JEL Classification: C61, C63, C65

Suggested Citation

Chmura, Thorsten and Kaiser, Johannes and Pitz, Thomas, Simulating Complex Social Behaviour With the Genetic Action Tree Kernel. Computational and Mathematical Organization Theory, Vol. 13, No. 4, pp. 355-377. Available at SSRN: https://ssrn.com/abstract=979045

Thorsten Chmura

University of Bonn - Faculty of Law & Economics ( email )

Postfach 2220
D-53012 Bonn
Germany

Nottingham University Business School

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Johannes Kaiser (Contact Author)

University of Bonn - Laboratory for Experimental Economics ( email )

Adenauerallee 24-42
Bonn, 53113
Germany
+49 228 73 7497 (Phone)
+49 228 73 5007 (Fax)

HOME PAGE: http://www.bonneconlab.uni-bonn.de

Thomas Pitz

University of Bonn ( email )

BWL 1
Adenauerallee 24-42
Bonn, D-53012
Germany

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