Simulating Population Dynamics P Systems with Proportional Object Distribution
From The P-Lingua Website
(Difference between revisions)
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* [[Media:Bearded_vulture_BWMC12.pli|The bearded vulture model in P-Lingua format]] | * [[Media:Bearded_vulture_BWMC12.pli|The bearded vulture model in P-Lingua format]] | ||
* [[Media:SimulationWorkflowDCBA.java|The source code of the simulation workflow]] | * [[Media:SimulationWorkflowDCBA.java|The source code of the simulation workflow]] | ||
+ | * [[Media:SimulationWorkflow.jar|The simulation workflow jar file (with all dependencies included)]] | ||
+ | ** Instructions to reproduce the workflow: | ||
+ | ### Put the files 'SimulationWorkflow.jar' and 'Bearded_vulture_BWMC12.pli' in a folder. | ||
+ | ### From the command-line, navigate to the folder and write: 'java -jar SimulationWorkflow.jar' (a Java Runtime Environment is needed) |
Revision as of 21:18, 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.
Materials
- pLinguaCore 3.0
- The bearded vulture model in P-Lingua format
- The source code of the simulation workflow
- The simulation workflow jar file (with all dependencies included)
- Instructions to reproduce the workflow:
- Put the files 'SimulationWorkflow.jar' and 'Bearded_vulture_BWMC12.pli' in a folder.
- From the command-line, navigate to the folder and write: 'java -jar SimulationWorkflow.jar' (a Java Runtime Environment is needed)