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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115278...
Part of book or chapter of book . 2005 . Peer-reviewed
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Relational Growth Grammars – A Graph Rewriting Approach to Dynamical Systems with a Dynamical Structure

Authors: Winfried Kurth; Ole Kniemeyer; Gerhard H. Buck-Sorlin;

Relational Growth Grammars – A Graph Rewriting Approach to Dynamical Systems with a Dynamical Structure

Abstract

Relational growth grammars (RGG) area graph rewriting formalism which extends the notations and semantics of Lindenmayer systems and which allows the specification of dynamical processes on dynamical structures, parti cular ly in biological and chemical applications. RGG were embedded in the language XL, combining rule-based and conventional object-oriented con structions. Key features of RGG and of the software GroIMP (Growth grammar related Interactive Modelling Platform) are listed. Five simple examples are shown which demonstrate the essential ideas and possibilities of RGG: signal propagation in a network, cellular automata, globally-sensitive growth of a plant, a “chemical” prime number generator, and a polymerisation model using a simple mass-spring kinetics.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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