MULTI COMPUTATIONAL AGENT PERFORMANCE OF TASKS

    公开(公告)号:US20230274205A1

    公开(公告)日:2023-08-31

    申请号:US18135579

    申请日:2023-04-17

    Applicant: GOOGLE LLC

    CPC classification number: G06Q10/063112 G10L15/22 G10L2015/223 G06F16/951

    Abstract: An example method includes receiving, by one or more processors, a representation of an utterance spoken at a computing device; identifying, by a first computational agent from a plurality of computational agents and based on the utterance, a multi-element task to be performed, wherein the plurality of computational agents includes one or more first party computational agents and a plurality of third-party computational agents; and performing, by the first computational agent, a first sub-set of elements of the multi-element task, wherein performing the first sub-set of elements comprises selecting a second computational agent from the plurality of computational agents to perform a second sub-set of elements of the multi-element task.

    PLATFORM SELECTION FOR PERFORMING REQUESTED ACTIONS IN AUDIO-BASED COMPUTING ENVIRONMENTS

    公开(公告)号:US20210390956A1

    公开(公告)日:2021-12-16

    申请号:US17461411

    申请日:2021-08-30

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

    Selection of computational agent for task performance

    公开(公告)号:US10853747B2

    公开(公告)日:2020-12-01

    申请号:US15815353

    申请日:2017-11-16

    Applicant: Google LLC

    Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed; determining a capability level of a first party (1P) agent to perform the task; determining capability levels of respective third party (3P) agents of a plurality of 3P agents to perform the task; responsive to determining that the capability level of the 1P agent does not satisfy a threshold capability level, that a capability level of a particular 3P agent of the plurality of 3P agents is a greatest of the determined capability levels, and that the capability level of the particular 3P agent satisfies the threshold capability level, selecting the particular 3P agent to perform the task; and performing one or more actions determined by the selected agent to perform the task.

    Platform selection for performing requested actions in audio-based computing environments

    公开(公告)号:US11605382B2

    公开(公告)日:2023-03-14

    申请号:US17390485

    申请日:2021-07-30

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

    Platform selection for performing requested actions in audio-based computing environments

    公开(公告)号:US11087761B2

    公开(公告)日:2021-08-10

    申请号:US16890639

    申请日:2020-06-02

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

    Platform selection for performing requested actions in audio-based computing environments

    公开(公告)号:US11694688B2

    公开(公告)日:2023-07-04

    申请号:US17461411

    申请日:2021-08-30

    Applicant: GOOGLE LLC

    CPC classification number: G10L15/22 G06F9/4843 G10L15/1822 G10L2015/223

    Abstract: Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

    PLATFORM SELECTION FOR PERFORMING REQUESTED ACTIONS IN AUDIO-BASED COMPUTING ENVIRONMENTS

    公开(公告)号:US20210050008A1

    公开(公告)日:2021-02-18

    申请号:US16466248

    申请日:2019-05-06

    Applicant: Google LLC

    Abstract: Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

    MULTI COMPUTATIONAL AGENT PERFORMANCE OF TASKS

    公开(公告)号:US20180096284A1

    公开(公告)日:2018-04-05

    申请号:US15815368

    申请日:2017-11-16

    Applicant: Google LLC

    Abstract: An example method includes receiving, by one or more processors, a representation of an utterance spoken at a computing device; identifying, by a first computational agent from a plurality of computational agents and based on the utterance, a multi-element task to be performed, wherein the plurality of computational agents includes one or more first party computational agents and a plurality of third-party computational agents; and performing, by the first computational agent, a first sub-set of elements of the multi-element task, wherein performing the first sub-set of elements comprises selecting a second computational agent from the plurality of computational agents to perform a second sub-set of elements of the multi-element task.

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