AI Measures Net Gain Loss for Uncertain Events Using Monte Carlo Simulations
Summary
The USPTO published patent application US20260099795A1 titled 'System and a Method for Measuring Net Gain and Loss of Alternatives for Uncertain Events.' The application, filed by inventor Ernest Forman on August 31, 2024, discloses an AI system that receives uncertain events, alternatives, objectives, and certain events, then uses Monte Carlo simulations on evaluated likelihoods and consequences to determine expected loss or gain for each alternative. This is a routine USPTO publication of a patent application in the decision-support software field.
What changed
The USPTO published patent application US20260099795A1 on April 9, 2026. The application discloses a system and method for measuring net gain and loss of alternatives dependent on uncertain events using Monte Carlo simulations. The system receives uncertain events, alternatives, objectives, certain events, and performs simulations on evaluated likelihoods and consequences to determine expected loss or gain for each alternative.\n\nThis is a routine USPTO patent application publication that does not create immediate compliance obligations. Entities developing decision-support software, risk analysis tools, or financial modeling systems should monitor this application for potential licensing implications once granted. The CPC classifications G06Q 10/0635 (business performance management) and G06N 7/01 (probabilistic networks) indicate applications in business analytics and simulation-based decision making.
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Apr 16, 2026GovPing 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.
SYSTEM AND A METHOD FOR MEASURING NET GAIN AND LOSS OF ALTERNATIVES FOR UNCERSTAIN EVENTS
Application US20260099795A1 Kind: A1 Apr 09, 2026
Inventors
ERNEST FORMAN
Abstract
Disclosed is a system for measuring net gain and loss of alternatives dependent on uncertain events. The system includes instructions having steps to receive at least one uncertain event, a list of alternatives, a list of objectives, a list of certain events, and followed by a step to select type of ratio scale measures. The instructions receive relation of alternatives and the certain events, and receives evaluation of likelihoods of certain events for at least one alternative, receives rating of consequences of certain events with respect to at least one objective for at least one alternative, and concluding the step to perform the Monte Carlo simulations on the evaluated likelihoods and consequences to display an expected loss or gain of each alternative on the display unit.
CPC Classifications
G06Q 10/0635 G06N 7/01
Filing Date
2024-08-31
Application No.
18822155
Named provisions
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