INFORMATION PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:EP4086820A3

    公开(公告)日:2023-02-08

    申请号:EP22184657.9

    申请日:2022-07-13

    IPC分类号: G06N5/02 G06N20/00 G06N5/04

    摘要: The present disclosure provides an information processing method and apparatus, an electronic device, a storage medium, and a computer program product, which relate to the field of artificial intelligence technologies such as big data, knowledge graphs, deep learning and the like. The method includes: determining a first independence relationship according to a plurality of variables and values respectively corresponding to the plurality of variables, wherein the first independence relationship includes: at least two variables of the plurality of variables being relatively independent; determining a first adjustment scheme according to the plurality of variables and the first independence relationship; adjusting the first independence relationship according to the first adjustment scheme, to obtain a second independence relationship; and obtaining a causal relationship information processing result according to the second independence relationship. The embodiments of the present disclosure can improve the accuracy of the causal relationship processing result.

    INFORMATION PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:EP4086820A2

    公开(公告)日:2022-11-09

    申请号:EP22184657.9

    申请日:2022-07-13

    IPC分类号: G06N5/02 G06N20/00 G06N5/04

    摘要: The present disclosure provides an information processing method and apparatus, an electronic device, a storage medium, and a computer program product, which relate to the field of artificial intelligence technologies such as big data, knowledge graphs, deep learning and the like. The method includes: determining a first independence relationship according to a plurality of variables and values respectively corresponding to the plurality of variables, wherein the first independence relationship includes: at least two variables of the plurality of variables being relatively independent; determining a first adjustment scheme according to the plurality of variables and the first independence relationship; adjusting the first independence relationship according to the first adjustment scheme, to obtain a second independence relationship; and obtaining a causal relationship information processing result according to the second independence relationship. The embodiments of the present disclosure can improve the accuracy of the causal relationship processing result.