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Modeling Agents Using Local and Global Models

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Summary

USPTO granted Patent US20260099646A1 for a method of modeling agents within an environment using local continuous models, local discrete models, and global continuous models to predict agent behaviors. The patent covers determining local and global continuous aspects alongside local discrete aspects, then using these to determine agent behaviors via modeling systems. Inventors include Leslie Ann Canavera, Lauren Brooke Decker, and Christopher Rex Curry.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

USPTO granted Patent US20260099646A1 for methods of modeling agents using local and global models. The patent covers determining local continuous aspects via a local continuous model, local discrete aspects via a local discrete model, and global continuous aspects via a global continuous model. The combined data enables agent behavior prediction through modeling systems.

Patent holders and practitioners in AI, machine learning, and autonomous systems should review the granted claims to assess freedom-to-operate considerations. The patent may affect development of agent-based simulations, autonomous vehicle systems, and other applications involving environmental and behavioral modeling.

Archived snapshot

Apr 17, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

TECHNIQUES FOR MODELING ENVIRONMENTS USING LOCAL AND GLOBAL MODELS

Application US20260099646A1 Kind: A1 Apr 09, 2026

Inventors

Leslie Ann CANAVERA, Lauren Brooke DECKER, Christopher Rex CURRY

Abstract

A method of modeling one or more agents within an environment may comprise: determining, by a local continuous model, one or more local continuous aspects of a local area proximate to the one or more agents; determining, by a local discrete model, one or more local discrete aspects of a local area proximate to the one or more agents; determining, by a global continuous model, one or more global continuous aspects of the environment; and providing a third data packet 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.

CPC Classifications

G06F 30/27 G06N 5/043

Filing Date

2024-10-07

Application No.

18907718

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Last updated

Classification

Agency
USPTO
Published
April 9th, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Substantive
Document ID
US20260099646A1
Docket
18907718

Who this affects

Applies to
Legal professionals
Industry sector
5112 Software & Technology
Activity scope
Patent examination IP licensing Agent-based modeling
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence

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