https://github.com/h-iaac/cst-python
Python module of the CST, the Cognitive Systems Toolkit
https://github.com/h-iaac/cst-python
cognitive-architecture cst python toolkit
Last synced: about 1 month ago
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Python module of the CST, the Cognitive Systems Toolkit
- Host: GitHub
- URL: https://github.com/h-iaac/cst-python
- Owner: H-IAAC
- License: lgpl-3.0
- Created: 2023-08-31T18:38:18.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-12-09T18:58:54.000Z (6 months ago)
- Last Synced: 2025-05-01T11:20:30.923Z (about 1 month ago)
- Topics: cognitive-architecture, cst, python, toolkit
- Language: Python
- Homepage: https://h-iaac.github.io/CST-Python/
- Size: 763 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
[](https://pypi.org/project/cst_python) [](https://github.com/H-IAAC/CST-Python/blob/main/LICENSE) [](https://github.com/H-IAAC/CST-Python) [](https://h-iaac.github.io/CST-Python) [](https://doi.org/10.5281/zenodo.14057065)
# CST-Python
CST-Python is a Python module of the CST, the Cognitive Systems Toolkit, a toolkit for the construction of cognitive systems and cognitive architectures.
This project was developed as part of the Cognitive Architectures research line from the Hub for Artificial Intelligence and Cognitive Architectures (H.IAAC) of the State University of Campinas (UNICAMP). See more projects from the group [here](https://github.com/brgsil/RepoOrganizer).
[](https://hiaac.unicamp.br/)
[](https://github.com/brgsil/RepoOrganizer)## Repository Structure
- src: cst_python source code
- tests: code tests## Installation / Usage
- Installing using pip:
```bash
pip install --upgrade pip
pip install cst_python
```- For installing from the repository:
```bash
git clone https://github.com/H-IAAC/CST-Python
cd CST-Python
pip install --upgrade pip
pip install .
```## Citation
```bibtext
@software{Cardoso_do_Nascimento_CST-Python,
author = {Cardoso do Nascimento, Elton and Dornhofer Paro Costa, Paula},
doi = {10.5281/zenodo.14057065},
title = {CST-Python},
url = {https://github.com/H-IAAC/CST-Python'}
}
```## Authors
- (2023-) Elton Cardoso do Nascimento: M. Eng. student, FEEC-UNICAMP
- (Advisor, 2023-) Paula Dornhofer Paro Costa: Professor, FEEC-UNICAMP
## AcknowledgementsProject supported by the brazilian Ministry of Science, Technology and Innovations, with resources from Law No. 8,248, of October 23, 1991
## License
CST-Python is a code derived from [main cst code](https://github.com/CST-Group/cst).
```
Copyright 2024 H.IAAC
Copyright 2016 CST-GroupLicensed under the GNU LESSER GENERAL PUBLIC LICENSE, Version 3 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.gnu.org/licenses/lgpl-3.0.html
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
```