Computer architecture for performing inversion using correlithm objects in a correlithm object processing system

Patent metadata

Field	Value
Publication number	US-11301544-B2
Application number	US-201916521444-A
Country	US
Kind code	B2
Filing date	Jul 24, 2019
Priority date	Jul 24, 2019
Publication date	Apr 12, 2022
Grant date	Apr 12, 2022

Abstract

A system includes a memory and a node. The memory stores first and second log string correlithm objects. The node aligns the first and second log string correlithm objects such that a sub-string correlithm object from the first log string correlithm object associated with the logarithmic value of ten aligns with a sub-string correlithm object from the second log string correlithm object representing the logarithmic value of one. The node receives a first real-world numerical value and identifies a first sub-string correlithm object from the first log string correlithm object that corresponds to the first real-world numerical value. The node determines which sub-string correlithm object from the second log string correlithm object aligns in n-dimensional space with the first sub-string correlithm object from the first log string correlithm object, and outputs the determined sub-string correlithm object.

First claim

The invention claimed is:

1. A system configured to emulate a correlithm object processing system, comprising:
a sensor implemented by hardware circuitry and configured to receive a real world numerical value and convert the real world numerical value into an output correlithm object;
a memory configured to store a first log string correlithm object and a second log string correlithm object;
wherein the first log string correlithm object comprises a plurality of sub-string correlithm objects mapped to a corresponding plurality of real-world numerical values that represent the logarithmic values of ten through one, respectively, and each sub-string correlithm object of the first log string correlithm object is adjacent in n-dimensional space to a preceding sub-string correlithm object and a subsequent sub-string correlithm object of the first log string correlithm object; and
wherein the second log string correlithm object comprises a plurality of sub-string correlithm objects mapped to a corresponding plurality of real-world numerical values that represent the logarithmic values of one through ten, respectively, and each sub-string correlithm object of the second log string correlithm object is adjacent in n-dimensional space to a preceding sub-string correlithm object and a subsequent sub-string correlithm object of the second log string correlithm object; and

a node implemented by a processor and communicatively coupled to the memory, the node configured to:
align in n-dimensional space the first log string correlithm object with the second log string correlithm object such that a sub-string correlithm object from the first log string correlithm object associated with the logarithmic value of ten aligns in n-dimensional space with a sub-string correlithm object from the second log string correlithm object that corresponds to a real-world numerical value representing the logarithmic value of one;
identify a first sub-string correlithm object from the first log string correlithm object that corresponds to the output correlithm object;
determine which sub-string correlithm object from the second log string correlithm object aligns in n-dimensional space with the first sub-string correlithm object from the first log string correlithm object; and
output the determined sub-string correlithm object from the second log string correlithm object.

2. The system of claim 1 , wherein the n-dimensional distance between each sub-string of the first log string correlithm object and each adjacent sub-string of the first log correlithm object is proportional to the difference between the real-world numerical values that those sub-string correlithm objects represent.

3. The system of claim 1 , wherein the n-dimensional distance between each sub-string of the second log string correlithm object and each adjacent sub-string of the second log correlithm object is the same is proportional to the difference between the real-world numerical values that those sub-string correlithm objects represent.

4. The system of claim 1 , wherein each sub-string correlithm object of the first log string correlithm object comprises an n-bit digital word.

5. The system of claim 1 , wherein each sub-string correlithm object of the second log string correlithm object comprises an n-bit digital word.

6. The system of claim 1 , wherein when the first log string correlithm object is aligned with the second log string correlithm object, the first log string correlithm object is positioned parallel to the second log string correlithm object in n-dimensional space.

7. The system of claim 1 , wherein the processor is further configured to shift each digit of the determined sub-string correlithm object from the second log string correlithm object to the right by one positional digit.

8. A method for emulating a correlithm object processing system, comprising:
receiving a real world numerical value by a sensor implemented by hardware circuitry;
converting the real world numerical value into an output correlithm object by the sensor;
storing a first log string correlithm object and a second log string correlithm object;
wherein the first log string correlithm object comprises a plurality of sub-string correlithm objects mapped to a corresponding plurality of real-world numerical values that represent the logarithmic values of ten through one, respectively, and each sub-string correlithm object of the first log string correlithm object is adjacent in n-dimensional space to a preceding sub-string correlithm object and a subsequent sub-string correlithm object of the first log string correlithm object; and
wherein the second log string correlithm object comprises a plurality of sub-string correlithm objects mapped to a corresponding plurality of real-world numerical values that represent the logarithmic values of one through ten, respectively, and each sub-string correlithm object of the second log string correlithm object is adjacent in n-dimensional space to a preceding sub-string correlithm object and a subsequent sub-string correlithm object of the second log string correlithm object;

aligning in n-dimensional space the first log string correlithm object with the second log string correlithm object such that a sub-string correlithm object from the first log string correlithm object associated with the logarithmic value of ten aligns in n-dimensional space with a sub-string correlithm object from the second log string correlithm object that corresponds to a real-world numerical value representing the logarithmic value of one;
identifying a first sub-string correlithm object from the first log string correlithm object that corresponds to the output correlithm object;
determining which sub-string correlithm object from the second log string correlithm object aligns in n-dimensional space with the first sub-string correlithm object from the first log string correlithm object; and
outputting the determined sub-string correlithm object from the second log string correlithm object.

9. The method of claim 8 , wherein the n-dimensional distance between each sub-string of the first log string correlithm object and each adjacent sub-string of the first log correlithm object is proportional to the difference between the real-world numerical values that those sub-string correlithm objects represent.

10. The method of claim 8 , wherein the n-dimensional distance between each sub-string of the second log string correlithm object and each adjacent sub-string of the second log correlithm object is the same is proportional to the difference between the real-world numerical values that those sub-string correlithm objects represent.

11. The method of claim 8 , wherein each sub-string correlithm object of the first log string correlithm object comprises an n-bit digital word.

12. The method of claim 8 , wherein each sub-string correlithm object of the second log string correlithm object comprises an n-bit digital word.

13. The method of claim 8 , wherein when the first log string correlithm object is aligned with the second log string correlithm object, the first log string correlithm object is positioned parallel to the second log string correlithm object in n-dimensional space.

14. The method of claim 8 , further comprising shifting each digit of the determined sub-string correlithm object from the second log string correlithm object to the right by one positional digit.

15. A computer program comprising executable instructions stored in a non-transitory computer readable medium such that when executed by a processor causes the processor to emulate a correlithm object process

Assignees

• Bank Of America

Inventors

• Lawrence Patrick N

Classifications

• G06F17/153 Primary

  Multidimensional correlation or convolution · CPC title

• G06F7/57 Primary

  Arithmetic logic units [ALU], i.e. arrangements or devices for performing two or more of the operations covered by groups G06F7/483 – G06F7/556 or for performing logical operations {(G06F7/49, G06F7/491 take precedence)} · CPC title

• G06V10/762

  using clustering, e.g. of similar faces in social networks · CPC title

• G06V10/761

  Proximity, similarity or dissimilarity measures · CPC title

• G06F18/2111

  by using evolutionary computational techniques, e.g. genetic algorithms · CPC title