Computer architecture for emulating parallel processing in a correlithm object processing system

A method to quantify a degree of similarity between different data samples having the same or different data types and/or formats using correlithm objects, comprising:

• emulating a synchronous correlithm object processing system by:
• sending, by a primary boss implemented by one or more processors, execute commands to a first secondary boss and a second secondary boss that are implemented by the one or more processors;
• sending, by the first secondary boss, execute commands to a first plurality of nodes identified in a first boss table linked with the first secondary boss in response to receiving an execute command from the primary boss, wherein the first plurality of nodes is implemented by the one or more processors;
• sending, by the second secondary boss, execute commands to a second plurality of nodes identified in a second boss table linked with the second secondary boss in response to receiving an execute command from the primary boss, wherein the second plurality of nodes is implemented by the one or more processors;
• sending, by the primary boss, output commands to the first secondary boss and the second secondary boss;
• sending, by the first secondary boss, output commands the first plurality of nodes identified in the first boss table in response to receiving an output command from the primary boss
• sending, by the second secondary boss, output commands the second plurality of nodes identified in the second boss table in response to receiving an output command from the primary boss;
• wherein:
• commands from the primary boss, the first secondary boss, and the second secondary boss are digital voltage signals;
• each node from the first plurality of nodes and the second plurality of nodes is linked with a node table that identifies:
• a first plurality of correlithm objects, wherein each correlithm object in the first plurality of correlithm objects is a point in a first n-dimensional space represented by a binary string;
• and
• a second plurality of correlithm objects linked with the first plurality of correlithm objects, wherein each correlithm object in the second plurality of correlithm objects is a point in a second n-dimensional space represented by a binary string;
• and
• each node from the first plurality of nodes and the second plurality of nodes is configured to:
• receive a first correlithm object that represents data of a first data type;
• fetch a second correlithm object from among the second plurality of correlithm objects based on the first correlithm object in response to receiving an execute command, wherein the second correlithm object represents data of a second data type;
• and
• output the second correlithm object in response to receiving an output command;
• and
• quantifying a degree of similarity between (a) different data samples having the same or different data types and/or formats, (b) different facial images, or (c) different images of people, by:
• using the results of the emulation performed by each node;
• computing n-dimensional distances between data samples;
• and
• performing non-binary comparisons between data samples using categorical numbers;
• wherein the degree of similarity indicates how similar the different data samples are to each other.

A non-transitory computer readable medium storing a computer program product comprising executable instructions that when executed by a processor causes the processor to quantify a degree of similarity between different data samples having the same or different data types and/or formats using correlithm objects, by emulating a synchronous correlithm object processing system configured to:

• implement a primary secondary boss, a first secondary boss, a second secondary boss, a first plurality of nodes, and a second plurality of nodes;
• send, using the primary boss, execute commands to the first secondary boss and the second secondary boss;
• send, using the first secondary boss, execute commands to a first plurality of nodes identified in a first boss table linked with the first secondary boss in response to receiving an execute command from the primary boss;
• send, using the second secondary boss, execute commands to a second plurality of nodes identified in a second boss table linked with the second secondary boss in response to receiving an execute command from the primary boss;
• send, using the primary boss, output commands to the first secondary boss and the second secondary boss;
• send, using the first secondary boss, output commands the first plurality of nodes identified in the first boss table in response to receiving an output command from the primary boss;
• send, using the second secondary boss, output commands the second plurality of nodes identified in the second boss table in response to receiving an output command from the primary boss;
• wherein:
• commands from the primary boss, the first secondary boss, and the second secondary boss are digital voltage signals;
• each node from the first plurality of nodes and the second plurality of nodes is linked with a node table that identifies:
• a first plurality of correlithm objects, wherein each correlithm object in the first plurality of correlithm objects is a point in a first n-dimensional space represented by a binary string;
• and
• a second plurality of correlithm objects linked with the first plurality of correlithm objects, wherein each correlithm object in the second plurality of correlithm objects is a point in a second n-dimensional space represented by a binary string;
• and
• each node from the first plurality of nodes and the second plurality of nodes is configured to:
• receive a first correlithm object that represents data of a first data type;
• fetch a second correlithm object from among the second plurality of correlithm objects based on the first correlithm object in response to receiving an execute command, wherein the second correlithm object represents data of a second data type;
• and
• output the second correlithm object in response to receiving an output command;
• and
• quantify a degree of similarity between (a) different data samples having the same or different data types and/or formats, (b) different facial images, or (c) different images of people, by:
• using the results of the emulation performed by each node;
• computing n-dimensional distances between data samples;
• and
• performing non-binary comparisons between data samples using categorical numbers;
• wherein the degree of similarity indicates how similar the different data samples are to each other.