Simulating Population Dynamics P Systems with Proportional Object Distribution
From The P-Lingua Website
(Difference between revisions)
| Line 2: | Line 2: | ||
This webpage includes all the material used in the paper [http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/dcba.pdf DCBA: Simulating population dynamics P systems with proportional object distribution]. The paper introduces the Direct distribution based on Consistent Blocks Algorithm (DCBA), a simulation algorithm which address the inherent non-determinism of the models by distributing proportionally the resources. A model for the Bearded Vulture has been used as example. | This webpage includes all the material used in the paper [http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/dcba.pdf DCBA: Simulating population dynamics P systems with proportional object distribution]. The paper introduces the Direct distribution based on Consistent Blocks Algorithm (DCBA), a simulation algorithm which address the inherent non-determinism of the models by distributing proportionally the resources. A model for the Bearded Vulture has been used as example. | ||
| + | |||
| + | == Materials == | ||
| + | * [[PLinguaCore3.0]] | ||
Revision as of 18:20, 23 August 2012
Population Dynamics P systems (PDP systems, in short) refer to a formal framework for ecological modelling. The semantics of the model associates probabilities with rules, but the rules are also applied in a maximally parallel way.
This webpage includes all the material used in the paper DCBA: Simulating population dynamics P systems with proportional object distribution. The paper introduces the Direct distribution based on Consistent Blocks Algorithm (DCBA), a simulation algorithm which address the inherent non-determinism of the models by distributing proportionally the resources. A model for the Bearded Vulture has been used as example.
