Computer architecture for emulating a correlithm object processing system that uses multiple correlithm objects in a distributed node network

A method for emulating a correlithm object processing system in a distributed node network, comprising:

• storing in a first calculation node a plurality of first source correlithm objects of a mapping table, wherein:
• the mapping table comprises a plurality of first source correlithm objects, a plurality of second source correlithm objects, and a corresponding plurality of target correlithm objects;
• each source correlithm object comprises an n-bit digital word of binary values;
• and
• each target correlithm object comprises an n-bit digital word of binary values;
• receiving at the first calculation node a first input correlithm object that comprises an n-bit digital word of binary values;
• determining n-dimensional distances between the first input correlithm object and each of the plurality of first source correlithm objects, wherein the determined n-dimensional distances are based on differences between the binary values representing the first input correlithm object and the binary values representing the plurality of first source correlithm objects;
• transmitting the determined n-dimensional distances associated with the plurality of first source correlithm objects to a resolution node;
• storing in a second calculation node a plurality of second source correlithm objects of the mapping table;
• receiving at the second calculation node a second input correlithm object that comprises an n-bit digital word of binary values;
• determining n-dimensional distances between the second input correlithm object and each of the plurality of second source correlithm objects, wherein the determined n-dimensional distances are based on differences between the binary values representing the second input correlithm object and the binary values representing the plurality of second source correlithm objects;
• transmitting the determined n-dimensional distances associated with the plurality of first source correlithm objects to the resolution node;
• adding at the resolution node the n-dimensional distance determined for each of the first source correlithm objects with the n-dimensional distance determined for a corresponding one of the second source correlithm objects such that each pair of first source correlithm object and second correlithm object has an aggregate n-dimensional distance calculation;
• comparing the aggregate n-dimensional distance calculations for each pair of first and second source correlithm objects to identify the pair of first and second source correlithm objects with the smallest aggregate n-dimensional distance to the input correlithm object;
• identifying the target correlithm object associated with the identified pair of first and second source correlithm objects;
• and
• outputting the identified target correlithm object.

A distributed node network to emulate a correlithm object processing system, comprising:

• a resolution node;
• a first calculation node communicatively coupled to the resolution node and configured to store a plurality of first source correlithm objects of a mapping table, wherein:
• the mapping table comprises a plurality of first source correlithm objects, a plurality of second source correlithm objects, and a corresponding plurality of target correlithm objects;
• each source correlithm object comprises an n-bit digital word of binary values;
• and
• each target correlithm object comprises an n-bit digital word of binary values;
• the first calculation node is further configured to:
• receive a first input correlithm object that comprises an n-bit digital word of binary values;
• determine Hamming distances between the first input correlithm object and each of the plurality of first source correlithm objects, wherein these Hamming distances are based on differences between the binary values representing the first input correlithm object and the binary values representing the plurality of first source correlithm objects;
• transmit the determined Hamming distances associated with the plurality of first source correlithm objects to the resolution node;
• a second calculation node communicatively coupled to the resolution node and configured to store a plurality of second source correlithm objects of the mapping table, wherein:
• the second calculation node is configured to:
• receive a second input correlithm object that comprises an n-bit digital word of binary values;
• determine Hamming distances between the second input correlithm object and each of the plurality of second source correlithm objects, wherein these Hamming distances are based on differences between the binary values representing the second input correlithm object and the binary values representing the plurality of second source correlithm objects;
• transmit the determined Hamming distances associated with the plurality of first source correlithm objects to the resolution node;
• and
• wherein the resolution node is configured to:
• add the Hamming distance determined for each of the first source correlithm objects with the Hamming distance determined for a corresponding one of the second source correlithm objects such that each pair of first source correlithm object and second correlithm object has an aggregate Hamming distance calculation;
• compare the aggregate Hamming distance calculations for each pair of first and second source correlithm objects to identify the pair of first and second source correlithm objects with the smallest aggregate Hamming distance to the input correlithm object;
• identify the target correlithm object associated with the identified pair of first and second source correlithm objects;
• and
• output the identified target correlithm object.