A local behavior identification algorithm for generative network automata configurations

Authors:
Burak Özdemir;Hürevren Kílíç
Affiliations:
Department of Computer Engineering, Atílím University İncek, Ankara, Turkey;Department of Computer Engineering, Atílím University İncek, Ankara, Turkey
Venue:
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
Year:
2009

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Abstract

Relation between the part and the whole is investigated in the context of complex discrete dynamical systems. For that purpose, an algorithm for local behavior identification from global data described as Generative Network Automata model configurations is developed. It is shown that one can devise a procedure to simulate finite GNA configurations via Automata Networks having static rule-space setting. In practice, the algorithm provides an automated approach to model construction and it can suitably be used in GNA based system modeling effort.