Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
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A theory is presented: that a subsumptive neural system coupled with a semi-randomly connected, teachable, neural net will result in cognitive behavior similar to what appears to happen in biological brains. The paper discusses a new theory of what cognition is, and an algorithm for the simulation of cognition. The topics of what the brain appears to do, why the brain provides the functions it does, and how this could be simulated are discussed. The intent is to arrive at a single unified algorithm that covers all functions of the brain.