Simulating complex social behaviour with the genetic action tree kernel

  • Authors:
  • Thorsten Chmura;Johannes Kaiser;Thomas Pitz

  • Affiliations:
  • Department of Economics, Shanghai Jiao Tong University, Shanghai, People's Republic of China 200052;Laboratory for Experimental Economics, University of Bonn, Bonn, Germany 53113;Department of Economics, Shanghai Jiao Tong University, Shanghai, People's Republic of China 200052

  • Venue:
  • Computational & Mathematical Organization Theory
  • Year:
  • 2007

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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.