Method for operating electronic brain model with reinforcement memory

Abstract

A method of emulating the human brain with its thought and rationalization processes is presented here, as well as a method of storing human-like thought. The invention provides for inclusion of psychological profiles, experience and societal position in an electronic emulation of the human brain. This permits a realistic human-like response by that emulation to the people and the interactive environment around it.

1 . A method of operating an electronic brain model, the electronic brain model having a plurality of electronic neurons each associated with a parameter value from 0 to 100%, each of the plurality of neurons residing in either a reinforcement memory or a long term memory, the neurons of the reinforcement memory corresponding to experiential relationships, the neurons of the long term memory corresponding to experiential relationships and being committed to long-term storage, the electronic brain model also having a context pool memory containing contextual data and plurality of neuron pointers, each neuron pointer addressing one of the plurality of neurons, the method comprising:
 promoting a neuron in the reinforcement memory to the permanent memory based upon a predetermined activity level in the neuron;   removing any one of the plurality of neurons when the any one neuron has had reinforcement falling below a predetermined level for a predetermined period of time;   removing a neuron pointer from the context pool memory after a neuron addressed by the neuron pointer has a firing level that has fallen below a predetermined threshold; and   removing contextual data from the context pool corresponding to the neuron whose associated neuron pointer has been removed from the context pool memory.   
   
   
       2 . The method of  claim 1 , further comprising creating a new neuron in the reinforcement memory.