Device and method for responding to influences of mind

Abstract

In the field of direct mind-machine interactions, prior art devices and methods do not provide sufficiently fast and reliable results. Mental influence detectors ( 100, 140, 400, 430 ) and corresponding methods provide fast and reliable results useful for detecting an influence of mind and hidden or classically non-inferable information. An anomalous effect detector ( 100 ) includes a source ( 104 ) of non-deterministic random numbers ( 110 ), a converter ( 114 ) to convert a property of numbers, a processor to accept converter output ( 118 ) and to produce an output signal ( 124 ) representative of an influence of mind. The processor output signal ( 124 ) contains fewer numbers than the input ( 110 ). A quantum computer ( 400 ) includes a physical source of entropy ( 404 ) to generate output numbers ( 405 ); a source ( 406 ) of test numbers ( 407 ); a measurement processor 410 ) to accept output numbers ( 405 ) and to measure a relationship between process numbers and at least one test number to produce an output ( 414 ) representative of an influence of mind.

1. A method of detecting an influence of mind, comprising:
 providing input numbers from a source of non-deterministic random numbers; 
 converting a property of said input numbers into a converter output comprising bias representative of said property, wherein said converting comprises amplifying bias in a bias amplifier, and wherein bias is expressed as the fraction of ones to total bits in a sequence of binary numbers; 
 producing a processor output signal representative of an influence of mind by processing said converter output, wherein said processor output signal contains fewer numbers than said input numbers; and 
 communicating said processor output signal. 
 
     
     
       2. A method of detecting an influence of mind as in  claim 1  wherein said providing said input numbers comprises:
 reducing a statistical defect in said input numbers. 
 
     
     
       3. A method of detecting an influence of mind as in  claim 2  wherein:
 said reducing a statistical defect reduces bias in said input numbers to less than 10 ppm and reduces autocorrelation in said input numbers to less than 10 ppm. 
 
     
     
       4. A method of detecting an influence of mind as in  claim 1  wherein said providing input numbers comprises:
 generating input numbers having a bias less than 10 ppm and an autocorrelation less than 10 ppm. 
 
     
     
       5. A method of detecting an influence of mind as in  claim 1  wherein:
 said converting a property of said input numbers comprises at least one step of converting selected from the group consisting of: converting a cross-correlation to a bias representative of said cross-correlation, converting a mutual bias to a bias representative of said mutual bias, and converting runs to a bias representative of said runs. 
 
     
     
       6. A method of detecting an influence of mind as in  claim 1  wherein said amplifying a bias comprises:
 performing a truth table bias function. 
 
     
     
       7. A method of detecting an influence of mind as in  claim 1  wherein said amplifying a bias comprises:
 performing a bounded random walk. 
 
     
     
       8. A method of detecting an influence of mind as in  claim 1  wherein said converting a property of said input numbers comprises:
 converting autocorrelation in said input numbers into a bias representative of said autocorrelation. 
 
     
     
       9. A method of detecting an influence of mind as in  claim 1 , further comprising:
 providing at least one test number; 
 measuring a relationship between said converter output and said at least one test number to produce a relationship measurement; and 
 abstracting said relationship measurement to provide an enhanced output signal representative of said influence of mind. 
 
     
     
       10. A method of detecting an influence of mind as in  claim 9  wherein said providing said at least one test number comprises:
 providing test numbers having a fixed pattern. 
 
     
     
       11. A method of detecting an influence of mind as in  claim 9 , further comprising:
 initiating a detection of said influence of mind using an initiator; and 
 wherein said providing said at least one test number comprises providing at least one test number before said initiating said detection. 
 
     
     
       12. A method of detecting an influence of mind as in  claim 9 , further comprising:
 initiating a detection of said influence of mind using an initiator; wherein said providing said at least one test number comprises providing at least one test number after said converting a property of said input numbers into a converter output. 
 
     
     
       13. A method of detecting an influence of mind as in  claim 1  wherein said providing said input numbers comprises:
 providing input numbers from a source of non-deterministic random numbers located in a device selected from the group consisting of an FPGA and an ASIC. 
 
     
     
       14. A method of detecting an influence of mind as in  claim 13  wherein said providing input numbers comprises:
 using an independent ring oscillator. 
 
     
     
       15. A method of detecting an influence of mind as in  claim 1 , further comprising:
 initiating a detection of said influence of mind. 
 
     
     
       16. A method of detecting an influence of mind as in  claim 15  comprising:
 receiving a conditioned physiological measurement to initiate a detection. 
 
     
     
       17. A method of detecting an influence of mind as in  claim 15  comprising:
 receiving an output from an influence-of-mind detector to initiate a detection. 
 
     
     
       18. A method of detecting an influence of mind as in  claim 15  wherein said detection is initiated automatically and periodically. 
     
     
       19. A method of detecting an influence of mind as in  claim 1  wherein said communicating said processor output signal comprises using an interface selected from the group consisting of: a cell phone screen and a cell phone speaker. 
     
     
       20. A method of detecting an influence of mind as in  claim 1  wherein said communicating said processor output signal comprises communicating using the internet. 
     
     
       21. A method of detecting an influence of mind as in  claim 1  wherein said providing input numbers from a source of non-deterministic random numbers is performed spatially separated from said communicating said processor output signal. 
     
     
       22. An influence-of-mind detector, comprising:
 a source of non-deterministic random numbers; 
 a converter operable to accept input numbers from said source and to convert a property of said input numbers into a converter output comprising amplified bias representative of said property, wherein bias is expressed as the fraction of ones to total bits in a sequence of binary numbers; 
 a bias amplifier included in said converter; 
 a processor that is operable to accept said converter output and to produce a processor output signal representative of an influence of mind; wherein said processor output signal contains fewer numbers than said input numbers; and 
 an interface that is operable to communicate said processor output signal. 
 
     
     
       23. An influence-of-mind detector as in  claim 22  wherein said source of non-deterministic random numbers comprises:
 a randomness corrector. 
 
     
     
       24. An influence-of-mind detector as in  claim 22  wherein said converter comprises:
 an autocorrelation converter that is operable to convert autocorrelation in said input numbers into a bias that is representative of said autocorrelation. 
 
     
     
       25. An influence-of-mind detector as in  claim 22 , further comprising:
 a source of test numbers; and wherein 
 said processor is operable to measure a relationship between said converter output in said processor and at least one test number to produce a relationship measurement; and 
 said processor is further operable to abstract said relationship measurement to provide an enhanced output signal representative of said influence of mind. 
 
     
     
       26. An influence-of-mind detector as in  claim 22  wherein said source of non-deterministic random numbers is located in a device selected from the group consisting of an FPGA and an ASIC. 
     
     
       27. An influence-of-mind detector as in  claim 26  wherein said source of non-deterministic random numbers comprises:
 an independent ring oscillator. 
 
     
     
       28. An influence-of-mind detector as in  claim 22 , further comprising;
 an initiator that is operable to initiate a detection of an influence of mind. 
 
     
     
       29. An influence-of-mind detector as in  claim 22  wherein said interface is selected from the group consisting of: a cell phone screen and a cell phone speaker. 
     
     
       30. An influence-of-mind detector as in  claim 22  wherein said interface comprises an internet-enabled device. 
     
     
       31. An influence-of-mind detector as in  claim 22  wherein said source of non-deterministic random numbers is spatially separated from said interface.