The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 13, 2022

Filed:

Dec. 15, 2020
Applicant:

Digital Asset Capital, Inc., Gaithersburg, MD (US);

Inventor:

Edward Hunter, Gaithersburg, MD (US);

Assignee:

Digital Asset Capital, Inc., Gaithersburg, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/90 (2019.01); G06F 8/33 (2018.01); G06F 8/65 (2018.01); G06F 16/901 (2019.01); G06F 9/54 (2006.01); G06F 17/18 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); H04L 9/32 (2006.01); H04L 67/133 (2022.01); H04L 9/00 (2022.01);
U.S. Cl.
CPC ...
G06F 8/33 (2013.01); G06F 8/65 (2013.01); G06F 9/547 (2013.01); G06F 16/9024 (2019.01); G06F 17/18 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06N 3/086 (2013.01); H04L 9/3263 (2013.01); H04L 67/133 (2022.05); H04L 9/50 (2022.05);
Abstract

A method includes obtaining identifiers of entities and symbolic artificial intelligence (AI) models configured to produce outputs responsive to inputs based on events caused by at least one of the entities. At least some of the entities are associated with outputs of respective symbolic AI models and have respective scores corresponding to the respective outputs of the symbolic AI models. The method may include obtaining scenarios, where each scenario includes simulated inputs corresponding to one or more simulated events, and at least some scenarios include a plurality of simulated inputs. The method may also include determining a population of scores of a given entity among the entities, where respective members of the population of scores correspond to respective outputs of the plurality of symbolic AI models, and where the respective outputs correspond to respective scenarios among the scenarios and storing the population of scores in memory.


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