METHOD FOR DETERMINING RELATIONSHIPS THROUGH USE OF AN ORDERED LIST BETWEEN PROCESSING NODES IN AN EMULATED HUMAN BRAIN

• US 20070288406A1
• Filed: 06/05/2007
• Published: 12/13/2007
• Est. Priority Date: 01/06/2004
• Status: Active Grant

• Current Assignee: Neuric Technologies, LLC
• Original Assignee: Neuric Technologies, LLC
• Inventors: VISEL, THOMAS
• Granted Patent: US 7,925,492 B2
• Time in Patent Office: Days
• US Class Current: 706/14
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 3/10 Interfaces, programming languages or software development kits, e.g. for simulating neural networks

Abstract

A method for emulating human cognition in electronic form is disclosed. Information is received in the form of a textual or voice input in a natural language. This is parsed into pre-determined phrases based on a stored set of language rules for the natural language. Then, the parsed phrases are determined as to whether they define aspects of an environment and, if so, then creating weighting factors to the natural language that are adaptive, the created weighting factors operable to create a weighted decision based upon the natural language. Then it is determined if the parsed phrases constitute a query and, if so, then using the weighted factors to make a decision to the query.

Claims

1. A method for emulating human cognition in electronic form, comprising:

receiving information in the form of a textual or voice input in a natural language;

parsing the received input into pre-determined phrases based on a stored set of language rules for the natural language;

determining if the parsed phrases define aspects of an environment and, if so, then creating weighting factors to the natural language that are adaptive, the created weighting factors operable to create a weighted decision based upon the natural language; and

determining if the parsed phrases constitute a query and, if so, then using the weighted factors to make a decision to the query.

2. The method of claim 1, wherein the set of rules includes fundamental parameters that underlie human personality, and represented as technology-independent values such as digital numeric, analog values, optical intensity, mechanical position, or an atomic, electron or chemical state, spin or phase.

3. The method of claim 2, further comprising a set of four temperament-specific parameters, each representing one of the four classical personality temperaments, Choleric, Melancholy, Sanguine and Phlegmatic, each being represented as a percentage which when summed represent , for example, 100%, and which take on values of 0 . . . 100%.

4. The method of claim 3, in which the temperament parameters are scaled and summed to control personality tendencies, each such represented as an additional temperament-dependent parameter.

5. The method of claim 3, wherein the temperament-dependent parameters are each applied to control decision thresholds, gains, ‘

pseudo-random’

but statistical selections, filter selections, and the like, so as to control behavioral processes on the basis of temperament.

6. The method of claim 1 in which the outputs of three of the four temperaments are suppressed or reduced, under sensed conditions of extreme emotional or physical trauma, and such that the resultant personality is fundamentally determined by a single dominant temperament, The sense of trauma being established either directly or by change-of-conditions, for example, by differentiation of the condition'"'"'s value.

7. The method of claim 6 in which the sense of trauma is automatically diminished in linear or logarithmic fashion, unless sustained or reinitiated by new traumatic events.

8. The method of claim 6, in which the sensed conditions of extreme emotional or physical trauma are represented by a computed value or summation, said computed value being represented by technology-independent value, said technology independent value being represented by specific parameters or emulated neurons.

9. The method of claim 3, in which the emulation has a single which is ‘

pre-wired’

as at human birth, are augmented by subsequent experience and training, and result in a composite personality. The impact of such training and experience upon the emulated brain are reduced or suppressed upon sense of sudden or sustained trauma so as to cause behavior to revert to that of the ‘

pre-wired’

temperament.

10. The method of claim 4, in which the scaled and summed temperament parameters are scaled, summed, inhibited or enabled by values obtained from brain nodes or parameters that represent the present conditions of the brain emulation, thereby forming an augmented composite signal, said augmented composite signal is used to alter or control decision thresholds, gains, ‘

pseudo-random’

but statistical selections, filter selections, and the like, so as to further control behavioral processes on the basis of temperament.

11. The method of claim 4, in which the scaling weights are selected such that most of the temperament parameters are characteristics that apply dominantly to two of the four temperament types, and only minimally to the remaining two temperaments, and for which the impact of one of the two dominant temperaments is much greater than for the other, for example, in ratios of 50%, 35%, 10% and 5%, such that a given trait is shared in great measure by two of the temperaments, with one of them dominant, but shared only in small measure by the remaining two temperaments.