Simulating complex social behaviour with the genetic action tree kernel

Thorsten Chmura (), Johannes Kaiser and Thomas Pitz ()
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Thorsten Chmura: Shanghai Jiao Tong University
Thomas Pitz: Shanghai Jiao Tong University

Computational and Mathematical Organization Theory, 2007, vol. 13, issue 4, No 2, 355-377

Abstract: 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 (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/s10588-007-9016-9

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