Computer architecture for training a node in a correlithm object processing system

A correlithm object processing system training method, comprising:

• receiving, by a trainer engine, a real world input value and a real world output value;
• sending, by the trainer engine, the real world input value to a sensor engine;
• generating, by the sensor engine, a source correlithm object linked with the real world input value in response to receiving the real world input value, wherein a source correlithm object is a point in an n-dimensional space represented by a binary string;
• sending, by the sensor engine, the source correlithm object to the trainer;
• sending, by the trainer engine, a real world output value to an actor engine;
• generating, by the actor engine, a target correlithm object linked with the real world output value in response to receiving the real world output value, wherein a target correlithm object is a point in the n-dimensional space represented by a binary string;
• sending, by the actor engine, the target correlithm object to the trainer;
• generating, by the trainer engine, an entry in a node table linking the source correlithm object with the target correlithm object, wherein the node table identifies:
• a plurality of source correlithm objects;
• and
• a plurality of target correlithm objects, wherein each target correlithm object is linked with a source correlithm object from among the plurality of source correlithm objects.

A computer program product comprising executable instructions stored in a non-transitory computer readable medium such that when executed by a processor causes the processor to emulate a trainer in a correlithm object processing system configured to:

• receive a real world input value and a real world output value;
• send the real world input value to a sensor engine;
• receive a source correlithm object in response to sending the real world value to the sensor engine, wherein a source correlithm object is a point in an n-dimensional space represented by a binary string;
• send a real world output value to an actor engine;
• receive a target correlithm object in response to sending the real world output value to the actor engine, wherein a target correlithm object is a point in the n-dimensional space represented by a binary string;
• generate an entry in a node table linking the source correlithm object with the target correlithm object, wherein the node table identifies:
• a plurality of source correlithm objects;
• and
• a plurality of target correlithm objects, wherein each target correlithm object is linked with a source correlithm object from among the plurality of source correlithm objects.