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.
Please help me write a proper abstract based on the patent claims. CLAIM: 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 each of the electronic neurons defined by a unique one of the pointers; and a neuron table containing at least one electronic neuron having associated neuron record, the associated neuron record being locatable in the neuron table through its associated resolution address and an offset, each of the neuron records comprised of a plurality of relationships to other of the electronic neurons such that the relationship to the other of the electronic neurons is defined by the associated unique pointer and additional predetermined parameters, such that any electronic neuron can point to any other electronic neuron; 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 neuron record further comprises: a fixed length information block; and at least one of the relationships 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 as the predetermined parameters. 3. The system of claim 2, wherein the relationship is weighted. 4. The system of claim 2, wherein the relationship is uni-directional. 5. The system of claim 2, wherein the relationship is bi-directional. 6. The system of claim 2, 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 relationship, and the predefined brain parameter neuron with preset weights and conditions. 7. The system of claim 2, wherein the at least one electronic neuron is activated based upon a relative ranking of at least one of the second electronic neuron and the state parameter referenced in the at least one relationship as compared to a rank associated with the at least one electronic neuron. 8. The system of claim 1, wherein the at least one electronic neuron corresponds to one fact. 9. The system of claim 1, wherein the at least one electronic neuron corresponds to one experience. 10. 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. 11. The system of claim 10, wherein the relational connection record is weighted. 12. The system of claim 10, wherein the relational connection record is uni-directional. 13. The system of claim 10, wherein the relational connection record is bi-directional. 14. The system of claim 10, 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. 15. The system of claim 10, wherein the at least one electronic neuron corresponds to one fact. 16. The system of claim 10, wherein the at least one electronic neuron corresponds to one experience.