DEVICE AND METHOD RESPONSIVE TO INFLUENCES OF MIND

• US 20100057653A1
• Filed: 11/19/2007
• Published: 03/04/2010
• Est. Priority Date: 11/22/2006
• Status: Active Grant

• Current Assignee: Psigenics Corporation
• Original Assignee: Psigenics Corporation
• Inventors: Wilber, Scott A.
• Granted Patent: US 9,367,288 B2
• Time in Patent Office: Days
• US Class Current: 706/22
• CPC Class Codes: G06F 7/58 Random or pseudo-random number generators
• CPC Class Codes: G06F 7/588 Random number generators, i.e. based on natural stochastic processes
• CPC Class Codes: G06N 10/00 Quantum computing, i.e. information processing based on quantum-mechanical phenomena
• CPC Class Codes: G06N 3/047 Probabilistic or stochastic networks
• CPC Class Codes: G06N 3/065 Analogue means
• CPC Class Codes: G06N 3/08 Learning methods

Abstract

V An anomalous effect detector (100, 130, 300, 800, 830, 840, 900, 930) responsive to an influence of mind comprises a source of non-deterministic random numbers, SNDRN, (104, 134, 310), a phase-sensitive filter (108, 140, 170, 320), and a results interface (110, 160, 340). In some embodiments, the phase-sensitive filter comprises a complex filter (170). An artificial sensory neuron (802, 810, 820, 906) comprises a SNDRN. Preferably, several artificial sensory neurons (802, 906) are grouped in a small volume. An analog artificial sensory detector (800) comprises a plurality of analog artificial sensory neurons (802), an abstracting processor (804) and a control or feedback unit (806). Some embodiments include an artificial neural network (850). An artificial consciousness network (900) contains a plurality of artificial neural networks (902, 914). One of the artificial neural networks (914) comprises an activation pattern meta-analyzer. An artificial consciousness device comprises a cluster (936) of artificial consciousness networks, a sensory input device (932) to provide sensory input signals (933) to the input of one or more ANNs in ACD (930), and an output device (938).

Claims

1. An anomalous effect detector responsive to an influence of mind, comprising:

a source of non-deterministic random numbers operable to generate source numbers;

an abstracting processor operable to accept source numbers and to produce abstracted numbers;

a phase-sensitive filter operable to accept abstracted numbers from said abstracting processor and to produce filter output numbers; and

a results interface.

2. An anomalous effect detector as in claim 1 wherein:

said source of non-deterministic random numbers is operable to generate digital source numbers;

said abstracting processor is operable to accept digital source numbers and to produce digital abstracted numbers; and

said phase-sensitive filter is operable to accept digital abstracted numbers from said abstracting processor and to produce quasi-continuous digital filter output numbers.

3. An anomalous effect detector responsive to an influence of mind, comprising:

a source of non-deterministic random numbers operable to generate source numbers;

a phase-sensitive filter operable to accept source numbers and to produce filter output numbers;

an abstracting processor operable to accept filter output numbers and to produce abstracted numbers; and

a results interface.

4. An anomalous effect detector as in claim 3 wherein:

said source of non-deterministic random numbers is operable to generate digital source numbers;

said phase-sensitive filter is operable to accept digital source numbers and to produce analog filter output numbers; and

said abstracting processor is operable to accept analog filter output numbers and to produce analog abstracted numbers.

5. An anomalous effect detector as in claim 4 wherein:

said abstracting processor comprises an artificial neural network.

6. An anomalous effect detector as in claim 4 wherein:

said abstracting processor consists essentially of an artificial neural network.

7. An anomalous effect detector as in claim 4 wherein:

said phase-sensitive filter comprises a complex filter, said complex filter being operable to produce real filter output numbers and imaginary filter output numbers.

8. An anomalous effect detector responsive to an influence of mind, comprising:

a plurality of sources of non-deterministic random numbers (SNDRNs), each SNDRN operable to generate source numbers;

a plurality of phase-sensitive filters;

an abstracting processor; and

a results interface;

wherein each of a plurality of said phase-sensitive filters is operable to filter source numbers from one of said SNDRNs and to produce filter output numbers; and

said abstracting processor is operable to receive filter output numbers from a plurality of said phase-sensitive filters and to produce abstracted numbers; and

said results interface is operable to use said abstracted numbers.

9. An anomalous effect detector as in claim 8 wherein:

said abstracting processor comprises an artificial neural network.

10. An anomalous effect detector as in claim 8 wherein:

said abstracting processor consists essentially of an artificial neural network.

11. An anomalous effect detector as in claim 8 wherein:

said abstracting processor is operable to use a majority voting technique.

12. An anomalous effect detector as in claim 8 wherein:

a phase-sensitive filter comprises a complex filter, said complex filter being operable to produce real filter output numbers and imaginary filter output numbers.

13. An artificial sensory neuron, comprising:

a source of non-deterministic random numbers operable to generate source numbers; and

a filter selected from the group consisting of a phase-sensitive filter, a complex filter, and a low-pass filter.

14. An artificial sensory neuron as in claim 13 wherein:

said filter is operable to convert digital source numbers to analog source numbers.

15. An artificial sensory detector, ASD, responsive to an influence of mind, comprising:

an artificial sensory neuron, said artificial sensory neuron comprising an analog source of non-deterministic random numbers, said artificial sensory neuron being operable to generate analog source numbers; and

an analog ANN processor, said analog ANN processor being operable to abstract analog source numbers from said artificial sensory neuron to produce abstracted numbers indicative of an influence of mind.

16. An artificial sensory detector as in claim 15, further comprising:

a control unit, said control unit being operable to provided a control signal.

17. An artificial sensory detector as in claim 15, further comprising:

a feedback unit, said feedback unit being operable to provide feedback to an operator.

18. An artificial sensory detector as in claim 15, comprising:

a plurality of ASNs.

19. An artificial sensory detector as in claim 15 wherein:

a local cluster of ASNs is contained in a roughly spherical volume having a diameter in a range of about from 0.1 mm to 1.0 mm.

20. An artificial consciousness network, ACN, responsive to an influence of mind, comprising:

an artificial sensory neuron (ASN), said ASN comprising a source of non-deterministic random numbers, said ASN being operable to generate source numbers;

a sensory artificial neural network (sensory ANN), said sensory ANN being operable to process source numbers from an artificial sensory neuron to produce abstracted numbers indicative of an influence of mind; and

a meta-analyzer artificial neural network (meta-analyzer ANN) comprising an activation pattern meta-analyzer, said meta-analyzer ANN being operable to accept abstracted numbers from a sensory ANN and to respond to a number of specific influences of mind operating on said ACN.

21. An artificial consciousness network as in claim 20 wherein:

said ASN further comprises a low-pass filter, said low-pass filter being operable to change digital source numbers to quasi-continuous digital source numbers.

22. An artificial consciousness network as in claim 20, comprising:

a plurality of artificial sensory neurons (ASNs), each ASN comprising a source of non-deterministic random numbers, each artificial sensory neuron being operable to generate source numbers;

a plurality of sensory ANNs, each sensory ANN being operable to process source numbers from an ASN to produce abstracted numbers indicative of an influence of mind, and

a meta-analyzer ANN comprising an activation pattern meta-analyzer, said meta-analyzer ANN being operable to accept abstracted numbers from a sensory ANN and to respond to a number of specific influences of mind operating on said ACN.

23. An artificial consciousness network as in claim 22 wherein:

a local cluster of ASNs is contained in a roughly spherical volume having a diameter in a range of about from 0.1 mm to 1.0 mm.

24. An artificial consciousness network as in claim 22 wherein:

a sensory ANN is operable to accept abstracted numbers from another sensory ANN.

25. An artificial consciousness device (ACD) responsive to an influence of mind, comprising:

a sensory input device, said sensory input device being operable to produce sensory signals;

a cluster of a plurality of artificial consciousness networks (ACNs); and

an output device;

wherein each ACN comprises;

a sensory artificial neural network (sensory ANN), said sensory ANN being operable to accept ASN signals from said ASN and to produce sensory-ANN output numbers indicative of an influence of mind; and

a meta-analyzer artificial neural network comprising an activation pattern meta-analyzer, said meta-analyzer ANN being operable to accept sensory-ANN output numbers from a sensory ANN and to produce an output responsive a number of states associated with consciousness operating on or in said ACN.

26. An artificial consciousness device as in claim 25 wherein:

said SNDRN in said ASN is operable to generate digital source numbers; and

said ASN comprises a low-pass filter operable to accept said digital source numbers and to produce quasi-continuous digital ASN signals.

27. An artificial consciousness device as in claim 25, further comprising:

a signal processor.

28. An artificial consciousness device as in claim 25 further comprising:

an information database and memory.

29. An artificial consciousness device as in claim 25 comprising:

a plurality of sensory input devices;

a plurality of sensory ANNs in said cluster of ACNs, each sensory ANN being operable to process ASN signals from an ASN to produce abstracted numbers indicative of an influence of mind, and

a plurality of meta-analyzer ANNs comprising an activation pattern meta-analyzer, a plurality of said meta-analyzer ANNs being operable to accept abstracted numbers from a plurality of sensory ANNs and to respond to a number of states associated with consciousness operating on or in said ACD.

30. An artificial consciousness network as in claim 25 wherein:

a local cluster of ASNs is contained in a roughly spherical volume having a diameter in a range of about from 0.1 mm to 1.0 mm.

31. An artificial consciousness device as in claim 25 wherein:

a sensory ANN in an ACN is operable to accept abstracted numbers from another sensory ANN in said ACN.

32-52. -52. (canceled)