Method for inclusion of psychological temperament in an electronic emulation of the human brain

• US 7,089,218 B1
• Filed: 06/16/2005
• Issued: 08/08/2006
• Est. Priority Date: 01/06/2004
• Status: Expired due to Fees

• Current Assignee: Neuric Technologies, LLC
• Original Assignee: Neuric Technologies, LLC
• Inventors: Visel, Thomas A.
• Primary Examiner(s): DAVIS, GEORGE B
• Application Number:
  US11/154,313
• Time in Patent Office: 418 Days
• Field of Search: 706/14, 706/47, 706/55
• 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 3/04 Architecture, e.g. interconnection topology
• CPC Class Codes: G06N 3/063 using electronic means
• CPC Class Codes: G06N 3/105 Shells for specifying net layout
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices

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.

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 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. The method of claim 9 in which the sense of trauma is automatically diminished in linear or logarithmic fashion, unless sustained or reinitiated by new traumatic events.

11. The method of claim 9, 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 ha technology-independent value, said technology independent value being represented by specific parameters or emulated neurons.