Systems, apparatus, and methods of using a self-automated map to automatically generate a query response

A method of automatically generating a query response to a query from a user, the method comprising:

• receiving, at a processor, a representation of a voice command including user data detected via a microphone, the voice command associated with a user;
• in response to the user data, generating, via the processor, a first matrix that correlates a location for a first detector from a plurality of detectors at a first time with at least a portion of the user data;
• receiving, at the processor, a representation of a query from the user, in response to at least one of a voice input or a visual input;
• automatically generating, via the processor and based at least in part on the query, a plurality of prompts, each prompt from the plurality of prompts including one of a voice prompt or a visual prompt;
• causing presentation of the plurality of prompts to the user via at least one of a speaker or a graphical user interface (GUI);
• in response to detecting at least one user response to the plurality of prompts, storing a representation of a relationship between the first matrix and the at least the portion of the user data based at least in part on the at least one user response;
• and
• translating the first matrix, thereby generating a query response to the query from the user.

A method for predicting future interaction between two entities, the method comprising:

• receiving, at a processor, a representation of a voice command or a representation of a visual command including user data, the voice command or visual command associated with a user, the user data including characteristics relating to a first entity;
• in response to the user data, generating, via the processor, a first matrix that correlates a location for a first detector from a plurality of detectors at a first time with at least a portion of the user data including characteristics relating to the first entity;
• calculating first transits of the first detector from the plurality of detectors for a first time period based at least in part on the first matrix, the first transits of the first detector being for the first entity;
• automatically associating the first transits of the first detector for the first entity with second transits of the first detector for a second entity for the first time period, the second entity being associated with a second matrix that correlates the location for the first detector with characteristics relating to the second entity;
• generating an intelligence matrix associating the first transits of the first detector for the first entity with second transits of the first detector for the second entity;
• and
• predicting an interaction between the first entity and the second entity during the first time period based at least in part on the intelligence matrix.