9.
Democratic Reinforcement: Learning via Self-Organization
Democratic Reinforcement: Learning via Self-Organization
ABSTRACT
The problem of learning in the absence of external intelligence is discussed in the context of a simple model. The model consists of a set of randomly connected, or layered integrate-and fire neurons. Inputs to and outputs from the environment are connected randomly to subsets of neurons. The connections between firing neurons are strengthened or weakened according to whether ...
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