Recommending a repair step to perform

A method comprising:

• obtaining a first representation of a troubleshooting guide associated with a first issue experienced by a first device,
• wherein the first representation includes a first plurality of nodes and a first plurality of edges,
• wherein a node among the first plurality of nodes indicates a troubleshooting procedure, and an edge among the first plurality of edges indicates a result associated with the troubleshooting procedure,
• wherein the result associated with the troubleshooting procedure indicates a testing step or a repair step;
• determining a subset of the first plurality of edges associated with the repair step;
• converting the subset of the first plurality of edges into multiple repair nodes to obtain a second representation including a second plurality of nodes and a second plurality of edges,
• wherein a repair node among the multiple repair nodes indicates the repair step resolving the first issue experienced by the first device,
• wherein the second plurality of nodes includes the first plurality of nodes and the multiple repair nodes,
• wherein an edge among the second plurality of edges represents a relationship between two nodes in the second plurality of nodes;
• based on the second representation, training an artificial intelligence,
• wherein the artificial intelligence is configured to receive an indication of a second issue experienced by a second device, and to provide a most likely repair step to resolve the second issue without requiring performance of the testing step;
• measuring, by a sensor associated with a second vehicle designed to execute construction tasks, an indication of a third data indicating a third error associated with the second vehicle designed to execute construction tasks;
• providing, by the sensor associated with the second vehicle designed to execute construction tasks, to the artificial intelligence the third data indicating the third error associated with the second vehicle designed to execute construction tasks;
• and
• causing an efficient repair of the third data indicating the third error associated with the second vehicle designed to execute construction tasks by:
• providing the indication of the third data indicating the third error to the artificial intelligence;
• and
• obtaining from the artificial intelligence a predicted value indicating the repair step most likely to resolve the third data indicating the third error, wherein the repair step is most likely to resolve the third data indicating the third error independent of the testing step.

A system comprising:

• at least one hardware processor;
• and
• at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• obtain a first representation of a troubleshooting guide associated with a first issue experienced by a first device,
• wherein the first representation includes a first plurality of nodes and a first plurality of edges,
• wherein a node among the first plurality of nodes indicates a troubleshooting procedure, and an edge among the first plurality of edges indicates a result associated with the troubleshooting procedure,
• wherein the result associated with the troubleshooting procedure indicates a testing step or a repair step;
• determine a subset of the first plurality of edges associated with the repair step;
• convert the subset of the first plurality of edges into multiple repair nodes to obtain a second representation including a second plurality of nodes and a second plurality of edges,
• wherein a repair node among the multiple repair nodes indicates the repair step resolving the first issue experienced by the first device,
• wherein the second plurality of nodes includes the first plurality of nodes and the multiple repair nodes,
• wherein an edge among the second plurality of edges represents a relationship between two nodes in the second plurality of nodes;
• and
• based on the second representation, train an artificial intelligence,
• wherein the artificial intelligence is configured to receive an indication of a second issue experienced by a second device, and to provide a most likely repair step to resolve the second issue without requiring performance of the testing step;
• a sensor associated with a second vehicle designed to execute construction tasks, the sensor configured to:
• measure an indication of a third data indicating a third error associated with the second vehicle designed to execute construction tasks;
• and
• provide to the artificial intelligence the third data indicating the third error associated with the second vehicle designed to execute construction tasks;
• and
• the at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to:
• enable an efficient repair of the third data indicating the third error associated with the second vehicle designed to execute construction tasks by:
• providing the indication of the third data indicating the third error to the artificial intelligence;
• and
• obtaining from the artificial intelligence a predicted value indicating the repair step most likely to resolve the third data indicating the third error, wherein the repair step is most likely to resolve the third data indicating the third error independent of the testing step.