Invention Grant
- Patent Title: Extensible agents in agent-based generative models
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Application No.: US17240133Application Date: 2021-04-26
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Publication No.: US12106026B2Publication Date: 2024-10-01
- Inventor: Francisco Gutierrez , Matthew Tomaszewicz , Sandeep Narayanaswami , Eiran Shalev
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F30/27
- IPC: G06F30/27 ; G06F7/58 ; G06F17/18

Abstract:
A system, method, and computer-readable medium for generating factual and/or counterfactual data are described. This may have the effect of improving the complexity of data available for training machine learning models. The models may include agent-based models (ABMs) in which the agent definitions are decoupled from the simulation. In one or more aspects, some agents may have attributes and associated behaviors that permit them to be reused in different ABMs to simulate different systems.
Public/Granted literature
- US20220215142A1 Extensible Agents in Agent-Based Generative Models Public/Granted day:2022-07-07
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