- 专利标题: Graph outcome determination in domain-specific execution environment
-
申请号: US18357011申请日: 2023-07-21
-
公开(公告)号: US12112146B2公开(公告)日: 2024-10-08
- 发明人: Edward Hunter
- 申请人: Digital Asset Capital, Inc.
- 申请人地址: US MD Gaithersburg
- 专利权人: Digital Asset Capital, Inc
- 当前专利权人: Digital Asset Capital, Inc
- 当前专利权人地址: US MD Gaithersburg
- 代理机构: Pillsbury Winthrop Shaw Pittman, LLP
- 主分类号: G06F16/90
- IPC分类号: G06F16/90 ; G06F8/33 ; G06F8/65 ; G06F9/54 ; G06F16/901 ; G06F17/18 ; G06N3/048 ; G06N3/08 ; G06N3/086 ; H04L9/32 ; H04L67/133 ; H04L9/00
摘要:
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.
公开/授权文献
信息查询