Computer architecture for representing positional digits using correlithm objects in a correlithm object processing system

Patent metadata

Field	Value
Publication number	US-11250293-B2
Application number	US-201916520938-A
Country	US
Kind code	B2
Filing date	Jul 24, 2019
Priority date	Jul 24, 2019
Publication date	Feb 15, 2022
Grant date	Feb 15, 2022

Abstract

A system configured to emulate a correlithm object processing system includes an input node, a first output node, and a second output node. The input node receives a real-world numeric value comprising a plurality of numerical digits, and a flag indicating a numeric system associated with the numeric value. The first output node receives a first one of the plurality of numerical digits and generates a first correlithm object associated with the first numerical digit. The second output node receives a second one of the plurality of numerical digits and generates a second correlithm object associated with the second numerical digit. A string correlithm object engine maps the first correlithm object to a first sub-string correlithm object of a string correlithm object, and maps the second correlithm object to a second sub-string correlithm object of the string correlithm object.

First claim

The invention claimed is:

1. A system configured to emulate a correlithm object processing system, comprising:
an input node configured to receive a real-world numeric value comprising a plurality of numerical digits, and a flag indicating a numeric system associated with the numeric value;
a first output node configured to receive a first one of the plurality of numerical digits and generate a first correlithm object associated with the first numerical digit, wherein the first correlithm object comprises an n-bit binary string;
a second output node configured to receive a second one of the plurality of numerical digits and generate a second correlithm object associated with the second numerical digit, wherein the second correlithm object comprises an n-bit binary string; and
a string correlithm object engine implemented in hardware and configured to:
map the first correlithm object to a first sub-string correlithm object of a string correlithm object; and
map the second correlithm object to a second sub-string correlithm object of the string correlithm object;

wherein the first output node and the second output node are arranged in a first cluster associated with a base ten numeric system, and further comprising a second cluster associated with a base two numeric system, the second cluster comprising a third output node and a fourth output node.

2. The system of claim 1 , wherein the numeric system is base ten and the numeric value comprises a first digit in a tens place and a second digit in a ones place.

3. The system of claim 1 , wherein the numeric system is binary and the numeric value comprises a first digit in a twos place and a second digit in a ones place.

4. The system of claim 1 , wherein the numeric system is hexadecimal.

5. The system of claim 1 , wherein the first output node:
stores a table that includes a plurality of real-world numeric values, each real-world numeric value associated with a corresponding correlithm object;
identifies a real-world numeric value based on the first digit; and
outputs a correlithm object that corresponds to the identified real-world numeric value in the table.

6. The system of claim 1 , wherein the second output node:
stores a table that includes a plurality of real-world numeric values, each real-world numeric value associated with a corresponding correlithm object;
identifies a real-world numeric value based on the second digit; and
outputs a correlithm object that corresponds to the identified real-world numeric value in the table.

7. The system of claim 1 , wherein the input node routes the real-world numeric value to the first cluster if the flag indicates a base ten numeric system and to the second cluster if the flag indicates a base two numeric system.

8. The system of claim 1 , wherein the input node routes the real-world numeric value to the first cluster if the flag indicates a first type of numeric system and to the second cluster if the flag indicates a second type of numeric system.

9. The system of claim 1 , wherein the input node, the first output node, and the second output node combine to form a sensor.

10. A system configured to emulate a correlithm object processing system, comprising:
an input node configured to receive a real-world numeric value comprising a plurality of numerical digits, and a flag indicating a numeric system associated with the numeric value, wherein:
the input node routes the real-world numeric value to a first output node and a second output node if the flag indicates a first numeric system; and
the input node routes the real-world numeric value to a third output node and a fourth output node if the flag indicates a second numeric system;

the first output node configured to receive a first one of the plurality of numerical digits and generate a first correlithm object associated with the first numerical digit, wherein the first correlithm object comprises an n-bit binary string;
the second output node configured to receive a second one of the plurality of numerical digits and generate a second correlithm object associated with the second numerical digit, wherein the second correlithm object comprises an n-bit binary string;
the third output node configured to receive a first one of the plurality of numerical digits and generate a third correlithm object associated with the first numerical digit, wherein the third correlithm object comprises an n-bit binary string;
the fourth output node configured to receive a second one of the plurality of numerical digits and generate a fourth correlithm object associated with the second numerical digit, wherein the fourth correlithm object comprises an n-bit binary string; and
a string correlithm object engine implemented in hardware and configured to:
map the first correlithm object to a first sub-string correlithm object of a string correlithm object;
map the second correlithm object to a second sub-string correlithm object of the string correlithm object;
map the third correlithm object to a third sub-string correlithm object of the string correlithm object;
map the fourth correlithm object to a fourth sub-string correlithm object of the string correlithm object.

11. The system of claim 10 , wherein the first output node:
stores a table that includes a plurality of real-world numeric values, each real-world numeric value associated with a corresponding correlithm object;
identifies a real-world numeric value based on the first digit; and
outputs a correlithm object that corresponds to the identified real-world numeric value in the table.

12. The system of claim 10 , wherein the second output node:
stores a table that includes a plurality of real-world numeric values, each real-world numeric value associated with a corresponding correlithm object;
identifies a real-world numeric value based on the second digit; and
outputs a correlithm object that corresponds to the identified real-world numeric value in the table.

13. The system of claim 10 , wherein the input node, the first output node, the second output node, the third output node, and the fourth output node combine to form a sensor.

Assignees

• Bank Of America

Inventors

• Lawrence Patrick N

Classifications

• G06V10/762 Primary

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

• G06F18/2111

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

• G06F18/23

  Clustering techniques · CPC title

• G06F16/90344

  by using string matching techniques · CPC title

• G06F17/11

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title