COGNITIVE AUTOMATION FOR NETWORKING, SECURITY, IoT, AND COLLABORATION

    公开(公告)号:US20210279615A1

    公开(公告)日:2021-09-09

    申请号:US17173380

    申请日:2021-02-11

    Abstract: In one embodiment, a device maintains a metamodel that describes a monitored system. The metamodel comprises a plurality of layers ranging from a sub-symbolic space to a symbolic space. The device tracks updates to the metamodel over time. The device updates the metamodel based in part on sub-symbolic time series data generated by the monitored system. The device receives, from a learning agent, a request for the updates to a particular layer of the metamodel associated with a specified time period. The device provides, to the learning agent, data indicative of one or more updates to the particular layer of the metamodel associated with the specified time period.

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