The BrainCEMISID project is the University of Los Andes (Mérida-Venezuela) first cognitive architecture that tackles problems such as visual and auditive information representation, sensorial ambiguities solving, basic visual stimula composition into more complex cultural information, autonomous intentions-based decision making, among others.
TO-DO:
- Make all of the neuronal networks parallel
The BrainCEMISID kernel is written in Python 2.7. This means that all machines with a 2.7 Python interpreter can run the code.
###Kernel dependencies:
-
Drill: download and follow installation instructions https://github.com/uqfoundation/dill
-
Python multiprocessing library.
- Kivy 1.9.1, available at https://kivy.org/#download. Follow the installation instructions.
###Running:
python main.py
Most of the modules, such as the MulticlassSingleLayerNetwork, contain independent tests that can be of help for the
comprehension of their functionality. Run, for instance:
python multiclass_single_layer_network.py
- Jonathan Monsalve
- Julio Muchacho
- Ricardo Graterol
- Ricardo Bruzual
- Johan Sosa
- Breytner Fernández, ([email protected])
- Mudafar El Halabi