A Local Behavior Identification Algorithm for Generative Network Automata Configurations
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Date
2011
Authors
Özdemir,B.
Özdemir, Büşra
Kiliç,H.
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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. © 2011 Springer-Verlag.
Description
Hungarian Academy of Science; Aitia International, Inc.
Keywords
Automata Networks, Discrete Dynamical Systems, Generative Network Automata, Identification, Inverse Problem
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0
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Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 10th European Conference of Artificial Life, ECAL 2009 -- 13 September 2009 through 16 September 2009 -- Budapest -- 85428
Volume
5778 LNAI
Issue
PART 2
Start Page
191
End Page
199