Invention Grant
- Patent Title: Graph outcome determination in domain-specific execution environment
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Application No.: US16893318Application Date: 2020-06-04
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Publication No.: US10915578B1Publication Date: 2021-02-09
- Inventor: Edward Hunter
- Applicant: Digital Asset Capital, Inc.
- Applicant Address: US MD Gaithersburg
- Assignee: Digital Asset Capital, Inc.
- Current Assignee: Digital Asset Capital, Inc.
- Current Assignee Address: US MD Gaithersburg
- Agency: Pillsbury Winthrop Shaw Pittman, LLP
- Main IPC: G06F16/90
- IPC: G06F16/90 ; G06F16/901 ; G06F17/18 ; G06F9/54 ; G06N3/08

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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