Electronic brain model with neuron tables
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 system for storage of a set of electronic neurons in an electronic memory, the structure comprising:
an identification table containing a list of pointers as table elements, each of the pointers having a resolution address of an electronic neuron in a neuron table; and
a neuron table containing at least one electronic neuron having a neuron record, the neuron record being locatable in the neuron table through its associated resolution address and an offset;
wherein the neuron record further comprises:
a fixed length information block; and
at least one relational connection record that references at least one of a second electronic neuron and also references at least one of a state parameter and a predefined brain parameter neuron with preset weights and connections;
wherein the at least one electronic neuron is activated based upon a relative ranking of the at least one of the second electronic neuron and the state parameter referenced in the at least one relational connection record as compared to a rank associated with the at least one electronic neuron; and
wherein the identification table occupies a predetermined and finite logical space in the electronic memory and is sized to have one table element for each electronic neuron in the neuron table.
2. The system of claim 1 , wherein the relational connection record is weighted.
3. The system of claim 1 , wherein the relational connection record is unidirectional.
4. The system of claim 1 , wherein the relational connection record is bidirectional.
5. The system of claim 1 , wherein the at least one electronic neuron is activated based upon at least one of the second electronic neuron, the state parameter referenced in the at least one relational connection record, and a predefined brain parameter neuron with preset weights and conditions.
6. The system of claim 1 , wherein the at least one electronic neuron corresponds to one fact.
7. The system of claim 1 , wherein the at least one electronic neuron corresponds to one experience.