REAT (Rete Evolution of Augmenting Topol

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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.

VERSION HISTORY

  • Version N/A posted on 2011-08-08
    Several fixes and updates
  • Version N/A posted on 2011-08-08

Program Details