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

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

• storing a first portion of each source correlithm object of a mapping table at a first calculation node, wherein:
• the mapping table comprises a plurality of 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 portion of each source correlithm object comprises a first subset of the binary values in that source correlithm object;
• receiving at the first calculation node at least a portion of an input correlithm object that comprises an n-bit digital word of binary values;
• determining n-dimensional distances between the input correlithm object and the first portion of each source correlithm object, wherein the determined n-dimensional distances are based on differences between the binary values representing the input correlithm object and the binary values representing the first portion of each source correlithm object;
• transmitting the determined n-dimensional distances associated with the source correlithm objects to a resolution node;
• storing a second portion of each source correlithm object of the mapping table at a second calculation node, wherein the second portion of each source correlithm object comprises a second subset of the binary values in that source correlithm object;
• receiving at the second calculation node at least a portion of the input correlithm object;
• determining n-dimensional distances between the input correlithm object and the second portion of each source correlithm object, wherein the determined n-dimensional distances are based on differences between the binary values representing the input correlithm object and the binary values representing the second portion of each source correlithm object;
• transmitting the determined n-dimensional distances associated with the source correlithm objects to the resolution node;
• receiving at the resolution node the n-dimensional distances determined by the first calculation node and the second calculation node;
• adding the n-dimensional distance determined for the first portion of each source correlithm object with the n-dimensional distance determined for the second portion of each source correlithm object;
• comparing the determined n-dimensional distances to identify the source correlithm object with the smallest n-dimensional distance to the input correlithm object;
• identifying the target correlithm object associated with the identified source correlithm object;
• 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 first portion of each source correlithm object of a mapping table, wherein:
• the mapping table comprises a plurality of 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 portion of each source correlithm object comprises a first subset of the binary values in that source correlithm object;
• the first calculation node is further configured to:
• receive at least a portion of an input correlithm object that comprises an n-bit digital word of binary values;
• determine Hamming distances between the input correlithm object and the first portion of each source correlithm object, wherein the determined Hamming distances are based on differences between the binary values representing the input correlithm object and the binary values representing the first portion of each source correlithm object;
• transmit the determined Hamming distances associated with the source correlithm objects to the resolution node;
• a second calculation node communicatively coupled to the resolution node and configured to store a second portion of each source correlithm object of the mapping table, wherein:
• the second portion of each source correlithm object comprises a second subset of the binary values in that source correlithm object;
• and
• the second calculation node is configured to:
• receive at least a portion of the input correlithm object;
• determine Hamming distances between the input correlithm object and the second portion of each source correlithm object, wherein the determined Hamming distances are based on differences between the binary values representing the input correlithm object and the binary values representing the second portion of each source correlithm object;
• transmit the determined n-dimensional distances associated with the source correlithm objects to the resolution node;
• and
• wherein the resolution node is configured to:
• add the Hamming distance determined for the first portion of each source correlithm object with the Hamming distance determined for the second portion of each source correlithm object;
• compare the determined Hamming distances for the source correlithm objects to each other to identify the source correlithm object with the smallest Hamming distance to the input correlithm object;
• identify the target correlithm object that corresponds to the identified source correlithm object;
• and
• output the identified target correlithm object.