A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
This project intends to create a bacteria simulator framework, with some realistic bacteria control methods based on chemical signaling, simple sensors, motors and neural networks. The bacteria will evolve in a genetic algorithm environment.
Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision.
We have implemented this algorithm on Cell Broadband Engine.
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Geographic restrictions, eligibility, and terms apply.