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

Patent metadata

Field	Value
Publication number	US-11468259-B2
Application number	US-201916521139-A
Country	US
Kind code	B2
Filing date	Jul 24, 2019
Priority date	Jul 24, 2019
Publication date	Oct 11, 2022
Grant date	Oct 11, 2022

Abstract

A system includes a memory and a node. The memory stores first and second log string correlithm objects. The node receives first and second real-world numerical values, and identifies a first sub-string correlithm object from the first log string correlithm object representing the first real-world numerical value and a second sub-string correlithm object from the second log string correlithm object representing the second real-world numerical value. The node aligns the first and second log string correlithm objects such that the first sub-string correlithm object aligns with the second sub-string correlithm object. The node identifies a sub-string correlithm object from the second log string correlithm object representing the logarithmic value of one. The node determines which sub-string correlithm object from the first log string correlithm object aligns with the identified sub-string correlithm object from the second log string correlithm object. The node 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 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 one through nine, 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 nine, 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:
receive a first real-world numerical value and a second real-world numerical value;
identify a first sub-string correlithm object from the first log string correlithm object that corresponds to the first real-world numerical value;
identify a second sub-string correlithm object from the second log string correlithm object that corresponds to the second real-world numerical value;
align in n-dimensional space the first log string correlithm object with the second log string correlithm object such that the first sub-string correlithm object from the first log string correlithm object aligns in n-dimensional space with the second sub-string correlithm object from the second log string correlithm object;
identify 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;
determine which sub-string correlithm object from the first log string correlithm object aligns in n-dimensional space with the identified sub-string correlithm object from the second log string correlithm object; and
output the determined sub-string correlithm object from the first 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 the plurality of sub-string correlithm objects of the first log string correlithm object are separated from each other in n-dimensional space by a distance parameter.

6. The system of claim 5 , wherein the distance parameter corresponds to less than standard deviation of the n-dimensional space.

7. 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.

8. A method for emulating a correlithm object processing system, comprising:
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 one through nine, 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 nine, 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;

receiving a first real-world numerical value and a second real-world numerical value;
identifying a first sub-string correlithm object from the first log string correlithm object that corresponds to the first real-world numerical value;
identifying a second sub-string correlithm object from the second log string correlithm object that corresponds to the second real-world numerical value;
aligning in n-dimensional space the first log string correlithm object with the second log string correlithm object such that the first sub-string correlithm object from the first log string correlithm object aligns in n-dimensional space with the second sub-string correlithm object from the second log string correlithm object;
identifying 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;
determining which sub-string correlithm object from the first log string correlithm object aligns in n-dimensional space with the identified sub-string correlithm object from the second log string correlithm object; and
outputting the determined sub-string correlithm object from the first 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 the plurality of sub-string correlithm objects of the first log string correlithm object are separated from each other in n-dimensional space by a distance parameter.

13. The method of claim 12 , wherein the distance parameter corresponds to less than standard deviation of the n-dimensional space.

14. 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

Assignees

• Bank Of America

Inventors

• Lawrence Patrick N

Classifications

• G06V30/1985

  Syntactic analysis, e.g. using a grammatical approach (syntactic image representation G06V30/18171) · CPC title

• G06V10/96

  Management of image or video recognition tasks · CPC title

• G06N5/022 Primary

  Knowledge engineering; Knowledge acquisition · CPC title

• G06V10/7625

  Hierarchical techniques, i.e. dividing or merging patterns to obtain a tree-like representation; Dendograms · CPC title

• G06V40/172

  Classification, e.g. identification · CPC title