Distributed Actor-Based Information System and Method

    公开(公告)号:US20230359955A1

    公开(公告)日:2023-11-09

    申请号:US18312917

    申请日:2023-05-05

    CPC classification number: G06Q10/063112

    Abstract: A computer-implemented method, computer program product and computing system for maintaining a group of distributed actors, wherein each of the distributed actors offers at least one skill; receiving a request from a user concerning a unfulfilled need; mapping one or more portions of the request to one or more skills offered by the group of distributed actors, thus defining one or more skill mappings; and assigning one or more distributed actors to address the unfulfilled need based, at least in part, upon the one or more skill mappings, thus defining one or more assigned distributed actors.

    AUTOMATION SYSTEM AND METHOD
    8.
    发明申请

    公开(公告)号:US20220004944A1

    公开(公告)日:2022-01-06

    申请号:US17368465

    申请日:2021-07-06

    Abstract: A computer-implemented method, computer program product and computing system for defining a data description model and a function description model for one or more of a plurality of machine-accessible supply-chain computing platforms; processing a complex supply-chain task to define a plurality of discrete supply-chain tasks each having a discrete goal; and executing the plurality of discrete supply-chain tasks on the plurality of machine-accessible supply-chain computing platforms.

    AUTOMATION SYSTEM AND METHOD
    10.
    发明申请

    公开(公告)号:US20220004576A1

    公开(公告)日:2022-01-06

    申请号:US17368546

    申请日:2021-07-06

    Abstract: A computer-implemented method, computer program product and computing system for normalizing descriptors within a master website dataset; comparing descriptors within a subordinate website dataset to descriptors within the master website dataset to define a similarity score for each descriptor within subordinate website dataset; and normalizing one or more descriptors of the subordinate website dataset if the similarity score is above a similarity threshold.

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