REAT (Rete Evolution of Augmenting Topologies) is an attempt to apply the concepts of Ken Stanley's NEAT (NeuroEvolution of Augmenting Topologies) to Charles Forgy's Rete network. It will be a way to evolve RETE networks and the rules they encode.

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Categories

Artificial Intelligence

License

GNU General Public License version 2.0 (GPLv2)

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Additional Project Details

Languages

English

Intended Audience

Science/Research

Programming Language

Java

Related Categories

Java Artificial Intelligence Software

Registered

2004-11-16
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