Techniques for modeling environments using local and global models

A system for modeling one or more agents within an environment, the system comprising:

• at least one data storage device storing instructions for modeling one or more agents within an environment;
• and
• at least one processor configured to execute the instructions to perform operations comprising:
• determining, by a local continuous model, one or more local continuous aspects of a local area proximate to the one or more agents;
• constructing, by the local continuous model, a first data packet comprising first data indicative of the one or more local continuous aspects, wherein the first data includes at least one callback indicator to the local continuous model;
• providing the first data packet to a local discrete model;
• determining, by the local discrete model, one or more local discrete aspects of a local area proximate to the one or more agents;
• constructing, by the local discrete model, a second data packet comprising the first data and second data indicative of the one or more local discrete aspects, wherein the second data includes at least one callback indicator to the local discrete model;
• providing the second data packet to a global continuous model;
• determining, by the global continuous model using the second data packet, including the first data having the at least one callback indicator to the local continuous model and the second data including at least one callback indicator to the local discrete model, one or more global continuous aspects of the environment;
• constructing, by the global continuous model, a third data packet including the first data, the second data, and third data indicative of the one or more global continuous aspects;
• providing the third data packet to a modeling system comprising one or more agent models, each of the one or more agent models associated with a respective agent of the one or more agents;
• and
• using the third data packet, determining, via the one or more agent models, one or more behaviors of the one or more agents.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method for modeling one or more agents within an environment, the method comprising:

• determining, by a local continuous model, one or more local continuous aspects of a local area proximate to the one or more agents;
• constructing, by the local continuous model, a first data packet comprising first data indicative of the one or more local continuous aspects, wherein the first data includes at least one callback indicator to the local continuous model;
• providing the first data packet to a local discrete model;
• determining, by the local discrete model, one or more local discrete aspects of a local area proximate to the one or more agents;
• constructing, by the local discrete model, a second data packet comprising the first data and second data indicative of the one or more local discrete aspects, wherein the second data includes at least one callback indicator to the local discrete model;
• providing the second data packet to a global continuous model;
• determining, by the global continuous model using the second data packet, including the first data having the at least one callback indicator to the local continuous model and the second data including at least one callback indicator to the local discrete model, one or more global continuous aspects of the environment;
• constructing, by the global continuous model, a third data packet including the first data, the second data, and third data indicative of the one or more global continuous aspects;
• providing the third data packet to a modeling system comprising one or more agent models, each of the one or more agent models associated with a respective agent of the one or more agents;
• and
• using the third data packet, determining, via the one or more agent models, one or more behaviors of the one or more agents.