Patent · US Active

Graph expansion and outcome determination for graph-defined program states

US10990879B2 · kind B2 · utility

2Cited by
8References
30Claims
0Family size

Assignee

Inventor

Key dates

Filing dateJun 4, 2020
Grant dateApr 27, 2021
Priority date
Expiry dateJun 4, 2040

Classification

  • Technology area (CPC H)Electricity
  • CPC primaryH04L9/50
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method includes obtaining a symbolic AI model, where the symbolic AI model is configured to produce an outcome state responsive to an input based on events. The method also includes obtaining a first scenario and a second scenario, where the first scenario causes the failure of a condition associated with a norm of the symbolic AI model and the second scenario satisfies the condition associated with the norm of the symbolic AI model. The method also includes obtaining a failure penalty value, determining a first outcome state based on the symbolic AI model, the first scenario, and the failure penalty value. The method also includes determining a second outcome state based on the symbolic AI model and the second scenario. The method also includes determining an outcome score based on the first outcome state and the second outcome state.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.