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    System of structured argumentation for asynchronous collaboration and machine-based arbitration
    11.
    发明授权
    System of structured argumentation for asynchronous collaboration and machine-based arbitration 有权

    公开(公告)号：US11238470B2

    公开(公告)日：2022-02-01

    申请号：US16724130

    申请日：2019-12-20

    Applicant: HRL Laboratories, LLC

    Inventor： Nigel D. Stepp ,  David J. Huber ,  Tsai-Ching Lu

    IPC: G06Q30/02 ,  G06Q10/04 ,  G06F17/16

    Abstract: A method for collecting and processing user input. In some embodiments the method includes presenting a first user with a prompt for eliciting a first response, the first response including a numerical portion including one or more numbers, and an explanatory portion; receiving, from the first user, the first response; receiving from each of a plurality of other users, a respective response of a plurality of other responses; and displaying, to the first user, an ordered list of other responses. Within the ordered list, a second response, of the plurality of other responses, may be earlier than a third response, of the plurality of other responses, the second response being, according to a measure of distance, more distant, than the third response, from the first response.

    Automated system to identify polarized groups on social media
    13.
    发明授权
    Automated system to identify polarized groups on social media 有权

    公开(公告)号：US11126689B1

    公开(公告)日：2021-09-21

    申请号：US16201924

    申请日：2018-11-27

    Applicant: HRL Laboratories, LLC

    Inventor： Dana Warmsley ,  Jiejun Xu ,  Tsai-Ching Lu

    IPC: G06F16/00 ,  G06F17/16 ,  G06F16/9536 ,  G06F16/28

    Abstract: Described is a system for identifying and communicating with polarized groups in social media platforms. The system generates a tripartite graph from online social network data. The tripartite graph incorporates user data, post data, and tag data obtained from the online social network data. Nonnegative matrix factorization is performed on a decomposed tripartite graph to obtain an optimization function. The optimization function is solved to identify polarized groups in the online social network. Based on the identified polarized groups, the system sends pre-determined communications to members of each group aimed at targeted escalation or de-escalation of polarization in an online social media platform.

    SYSTEM OF STRUCTURED ARGUMENTATION FOR ASYNCHRONOUS COLLABORATION AND MACHINE-BASED ARBITRATION
    14.
    发明申请
    SYSTEM OF STRUCTURED ARGUMENTATION FOR ASYNCHRONOUS COLLABORATION AND MACHINE-BASED ARBITRATION 审中-公开

    公开(公告)号：US20200286108A1

    公开(公告)日：2020-09-10

    申请号：US16724130

    申请日：2019-12-20

    Applicant: HRL Laboratories, LLC

    Inventor： Nigel D. Stepp ,  David J. Huber ,  Tsai-Ching Lu

    IPC: G06Q30/02 ,  G06Q10/04 ,  G06F17/16

    Abstract: A method for collecting and processing user input. In some embodiments the method includes presenting a first user with a prompt for eliciting a first response, the first response including a numerical portion including one or more numbers, and an explanatory portion; receiving, from the first user, the first response; receiving from each of a plurality of other users, a respective response of a plurality of other responses; and displaying, to the first user, an ordered list of other responses. Within the ordered list, a second response, of the plurality of other responses, may be earlier than a third response, of the plurality of other responses, the second response being, according to a measure of distance, more distant, than the third response, from the first response.

    Network-based organization classification
    16.
    发明授权
    Network-based organization classification 有权

    公开(公告)号：US10474963B1

    公开(公告)日：2019-11-12

    申请号：US15006780

    申请日：2016-01-26

    Applicant: HRL Laboratories, LLC

    Inventor： Patrick Park ,  Ryan F. Compton ,  Tsai-Ching Lu

    IPC: G06N20/00 ,  G06Q50/00

    Abstract: Described is a system for discriminating between individual accounts and organization accounts in a social media network. The system processes data from a social media network comprising a set of user accounts. A directed mention network, a bi-directed mention network, and a set of computer-observable network metrics are generated. A classification model is trained using the set of computer-observable network metrics and a set of ground-truth user accounts. The trained classification model is used to classify each user account in the set of user accounts as an individual account or an organization account, resulting in a set of classified user accounts.

    Predicting system trajectories toward critical transitions
    17.
    发明授权
    Predicting system trajectories toward critical transitions 有权

    公开(公告)号：US10460008B2

    公开(公告)日：2019-10-29

    申请号：US14209314

    申请日：2014-03-13

    Applicant: HRL Laboratories, LLC

    Inventor： Kang-Yu Ni ,  Tsai-Ching Lu

    IPC: G06F17/14

    Abstract: Described is a system for predicting system trajectories toward critical transitions. The system transforms a set of multivariate time series of observables of a complex system into a set of symbolic multivariate time series. Then pair-wise time series of a transfer entropy (TE) measure are determined, wherein the TE measure quantifies the amount of information transfer from a source to a destination in the complex system. An associative transfer entropy (ATE) measure is determined which decomposes the pair-wise time series of TE to associative states of asymmetric, directional information flows, wherein the ATE measure is comprised of an ATE+ influence class and a ATE− influence class. The system estimates ATE+, TE, and ATE− trajectories over time, and at least one of the ATE+, TE, and ATE− trajectories is used to predict a critical transition in the complex system.

    PREDICTING SYSTEM TRAJECTORIES TOWARD CRITICAL TRANSITIONS
    20.
    发明申请
    PREDICTING SYSTEM TRAJECTORIES TOWARD CRITICAL TRANSITIONS 审中-公开

    公开(公告)号：US20170308505A1

    公开(公告)日：2017-10-26

    申请号：US14209314

    申请日：2014-03-13

    Applicant: HRL Laboratories, LLC

    Inventor： Kang-Yu Ni ,  Tsai-Ching Lu

    IPC: G06F17/14

    CPC classification number: G06F17/14 ,  G06F17/10

    Abstract: Described is a system for predicting system trajectories toward critical transitions. The system transforms a set of multivariate time series of observables of a complex system into a set of symbolic multivariate time series. Then pair-wise time series of a transfer entropy (TE) measure are determined, wherein the TE measure quantifies the amount of information transfer from a source to a destination in the complex system. An associative transfer entropy (ATE) measure is determined which decomposes the pair-wise time series of TE to associative states of asymmetric, directional information flows, wherein the ATE measure is comprised of an ATE+ influence class and a ATE− influence class. The system estimates ATE+, TE, and ATE− trajectories over time, and at least one of the ATE+, TE, and ATE− trajectories is used to predict a critical transition in the complex system.

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