Welcome to the Platform for CoNM

CoNM is an end-to-end open source platform for artificial neuronal networks (ANN). It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ANN and developers easily build and deploy ANN-powered applications. Its particular focus lays on the identification and efficient transfer of knowledge of ANN.

The tool was originally developed by Marcus Grum.

Install

... at draw.io or diagrams

Download the meta-model from the repository here.

Access the online modeling tool called diagrams or draw.io via your browser.

Include the libraries downloaded in the modeling tool via the menu File/Open library from/Device... and select the relevant library manually.

... at Modelangelo

Download the process modeling tool called Modelangelo.

Include the NMDL in the modeling tool by copying it to ./templates.

Start modeling with the NMDL.

Try your first NMDL program...

The Neuronal Modeling and Description Language (NMDL) is a modeling language that is interpreted by the CoNM tool and enables the communication with and interpretation of ANN.

...using diagrams.net or draw.io

• Start the modeling tool.
• Select File/New.../Blank Diagram/ and just start modeling by dragging items from the template called NMDL.
• Create models by following the NMDL standard.
• Let the CoNM platform interpret your models.

For more examples, see the CoNM tutorials and its reference dissertation shown below.

...using Modelangelo

• Start the modeling tool via the browser.
• Select File/New/New Project/ and chose template called NMDL.
• Create models by following the NMDL standard.
• Let the CoNM platform interpret your models.

For more examples, see the CoNM tutorials and its reference dissertation shown below.

Warehouses

The warehouses enable a quick modeling start by providing pre-modeled models. Take a look at the warehouses as a basis to get started and feel free to extend them.

Publication

If you have used CoNM for your published (or unpublished) work, please let me know at [email protected] and I'll include you in this list. You can cite CoNM in your paper with the following bibtex reference:

@phdthesis{
  Type = {dissertation},
  Title = {Construction of a Concept of Neuronal Modeling},
  Author = {Marcus Grum},
  School = {Potsdam University},
  URL = {https://opac.ub.uni-potsdam.de/DB=1/XMLPRS=N/PPN?PPN=1760584673},
  Year = {2021},
} 

Alternatively, you can consider the corresponding book print:

@book{Grum2022construction,
  title={Construction of a Concept of Neuronal Modeling},
  author={Grum, M.},
  isbn={9783658359980},
  series={Gabler Theses},
  url={https://books.google.de/books?id=SgGyzgEACAAJ},
  year={2022},
  publisher={Springer Fachmedien Wiesbaden},
  doi={https://doi.org/10.1007/978-3-658-35999-7}
}

Further Publications

Grum M. 2022. Construction of a Concept of Neuronal Modeling. Springer Gabler Wiesbaden. https://doi.org/10.1007/978-3-658-35999-7

Grum M. 2020. Managing Human and Artificial Knowledge Bearers. In: Shishkov B. (eds) Business Modeling and Software Design. BMSD 2020. Lecture Notes in Business Information Processing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-52306-0_12

Grum, M., Hiessl, W., Maresch, K. and Gronau, N. 2021. Design of a Neuronal Training Modeling Language: Exemplified with the AI-Based Dynamic GUI Adaption. AIS Transactions on Enterprise Systems. 5, 1 (Mar. 2021). DOI:https://doi.org/10.30844/aistes.v5i1.20.

Grum M., Kotarski D., Ambros M., Biru T., Krallmann H., Gronau N. (2021) Managing Knowledge of Intelligent Systems - The Design of a Chatbot Using Domain-Specific Knowledge. In: Shishkov B. (eds) Business Modeling and Software Design. BMSD 2021. Lecture Notes in Business Information Processing, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-030-79976-2_5

Contributions

If you want to contribute, please review the contribution guidelines.

License

Tbd