Simulating complex social behaviour with the genetic action tree kernel

Chmura, T. ORCID: 0000-0001-7476-2030, Kaiser, J. and Pitz, T., 2007. Simulating complex social behaviour with the genetic action tree kernel. Computational and Mathematical Organization Theory, 13 (4), pp. 355-377. ISSN 1381-298X

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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.

Item Type:	Journal article
Publication Title:	Computational and Mathematical Organization Theory
Creators:	Chmura, T., Kaiser, J. and Pitz, T.
Publisher:	Springer
Date:	December 2007
Volume:	13
Number:	4
ISSN:	1381-298X
Identifiers:	Number Type 10.1007/s10588-007-9016-9 DOI
Rights:	© Springer Science+Business Media, LLC 2007.
Divisions:	Schools > Nottingham Business School
Record created by:	Linda Sullivan
Date Added:	23 Apr 2018 13:45
Last Modified:	24 Apr 2018 07:45
URI:	https://irep.ntu.ac.uk/id/eprint/33296

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