Development of an integrated logical modelling tool from the beginning steps of logical graph modelling to the final simulations outputs.
npm install logml[npm-image]: https://img.shields.io/npm/v/logml.svg?style=flat
[npm-url]: https://npmjs.org/package/logml
[downloads-image]: https://img.shields.io/npm/dm/logml.svg?style=flat
[downloads-url]: https://npmjs.org/package/logml
Logml is a logical modelling framework based on the Boolean network theory where classic Boolean operators are replaced with fuzzy operators and where edges are tuned in order to adapt the speed and the strength of the signal that they transmit.
This tool is an adaptation of a methodology developed at Novadiscovery and freely accessible at:
- Installation
- Requirements
- Fortran
- NodeJS
- Logml
- Usage
- Logical graph
- Annotation of nodes
- Annotation of edges
- Annotation of perturbed nodes
- Run Logml
- Example
---
#### Fortran
For Linux, install gfortran
``bash`
sudo apt-get update
sudo apt-get install gfortran
For OSX, Check that gcc (that comes with gfortran) has been correctly
installed. If not, install it via brew:
`bash`
brew install gcc
#### NodeJS
Just install the last stable version from https://nodejs.org, or use Node Version Manager
#### Logml
To install Logml, just run the following command :
`bash`
npm install -g logml
Now you can use the logml command:
`bash`
logml --help
The Logml modelling and simulation tool takes a logical graph (.graphml format) as input. The tool will automatically parse the graph and generate the corresponding code. The logical model is then executed and results are plotted via a dedicated web interface.
A logical graph is a special type of diagramatic structure in which entities are linked by logical relations symbolized by the logic operators: AND, OR and NOT.
We use for that the yED graph editor (which is freely available and runs on all major platforms), and the following graphical ontology:
Please find bellow an example of a logical graph, which will be used throughout this tutorial:
In order to ensure the proper functioning of Logml tool, the following instructions must be observed carefully during the creation of the logical graph in yED.
#### Annotation of nodes
Each node of the graph (entity) need to be annotated (in yED, right click on the node > properties > data) with its qualitative initial values (integers only, and between 0 and 5). The node initial states are defined as following:
| Annotation | Meaning |
|:-----------|:----------|
| v0=5 | full |v0=4
| | much more |v0=3
| | much |v0=2
| | few |v0=1
| | fewer |v0=0
| | none |
Please find below an example of node annotation:
#### Annotation of edges
Each edge need to be annotated (in yED, right click on the edge > properties > general) with its qualitative p and q values (integers only, and between 0 and 5).
+ For each edges, p is the portion of its value which is updated at each iteration:
| Annotation | Meaning |
|:-----------|:--------------|
| p=5 | instantaneous |p=4
| | faster |p=3
| | fast |p=2
| | slow |p=1
| | slower |p=0
| | down |
+ For each edges, q is the weakening of its value at each iteration:
| Annotation | Meaning |
|:-----------|:--------|
| q=5 | strong |q=4
| | weaker |q=3
| | weak |q=2
| | faint |q=1
| | fainter |q=0
| | down |
Please find below an example of edge annotation:
#### Annotation of perturbed nodes
We can identify nodes that will be the subject of a disturbance by annotating (in yED, right click on the entity > properties > data) with:
+ the strength of the disturbance applied to the node. The disturbed states will be defined as following (integers only, and between 0 and 5):
| Annotation | Meaning |
|:-----------|:----------|
| pwd=5 | full |pwd=4
| | much more |pwd=3
| | much |pwd=2
| | few |pwd=1
| | fewer |pwd=0
| | none |
+ the interval of iterations at which disturbances begin and end respectively. The intervals will be defined as following (integers only, and between 0 and 100):
int=20,60: in this case, perturbations will start after 20% of iterations, and will stop after 60% of iterations.
An example of disturbance annotation is presented in the following screenshot:
`bash
logml --help
Usage: logml
Options:
-h, --help output usage information
-V, --version output the version number
-d, --dolphin Output an human readable version of the parsed graph
-i, --iterations
-o, --output
-w, --watch Watch for any changes and update the output (if input is a file)
-v, --verbose Print out informations on build (activate --verbose)
-s, --server [port] Create a plotting server (activate --verbose)
-p, --open Open url on start
-f --faster Prevent some size optimisation, faster, bigger (stronger)
--output-edge Output default vpop edges to csv stream
--output-node Output default vpop nodes to csv stream
--input-edge
--input-node
--silent Prevent verbose mode
`
We used the following Logml command with the example.graphml:
`bash``
logml example.graphml -o ./tmp -wsvp
And we obtained the following output result:
---
License: MIT - Novadiscovery
