REAT (Rete Evolution of Augmenting Topol download

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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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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