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    • 1. 发明授权
    • Apparatus and method for expressing behavior of software robot
    • 用于表达软件机器人行为的装置和方法
    • US08204839B2
    • 2012-06-19
    • US12027631
    • 2008-02-07
    • Kang-Hee LeeKwang-Choon KimJong-Hwan KimYe-Hoon KimSe-Hyoung ChoSeung-Hwan Choi
    • Kang-Hee LeeKwang-Choon KimJong-Hwan KimYe-Hoon KimSe-Hyoung ChoSeung-Hwan Choi
    • G06F15/18
    • G06N3/004
    • Disclosed is a software robot apparatus and a method including detecting environmental information, detecting multiple external events objects, generating a sensor value having an effect on the software robot, changing physical states related to external events and internal events, generating a physical state value, changing a perception state, generating a perception state value corresponding to the changed perception state, changing an emotion state, generating an emotion state value; detecting an episode related to a behavior type, storing a variance related to each state, calculating a representative variance, and when a current perception state or a current emotion state is identified as unstable, detecting an episode capable of changing the unstable state into a normal state, determining a behavior and an object stored in the detected episode as a final behavior object, and expressing an actual behavior of the software robot to the object corresponding to the final behavior object.
    • 公开了一种软件机器人装置和方法,包括检测环境信息,检测多个外部事件对象,生成对软件机器人具有影响的传感器值,改变与外部事件和内部事件相关的物理状态,生成物理状态值,改变 感知状态,产生与改变的感知状态对应的感觉状态值,改变情绪状态,产生情绪状态值; 检测与行为类型相关的情节,存储与每个状态相关的方差,计算代表性方差,以及当当前感知状态或当前情感状态被识别为不稳定时,检测能够将不稳定状态改变为正常的情节 将所检测到的情节中存储的行为和对象确定为最终行为对象,并将软件机器人的实际行为表示到对应于最终行为对象的对象。
    • 2. 发明申请
    • METHOD AND APPARATUS FOR LEARNING BEHAVIOR IN SOFTWARE ROBOT
    • 软件机器人学习行为的方法与装置
    • US20080208776A1
    • 2008-08-28
    • US12026244
    • 2008-02-05
    • Kang-Hee LEEKwang-Choon KimYe-Hoon KimJong-Hwan KimSe-Hyoung ChoSeung-Hwan Cho
    • Kang-Hee LEEKwang-Choon KimYe-Hoon KimJong-Hwan KimSe-Hyoung ChoSeung-Hwan Cho
    • G06F15/18
    • G06N3/004
    • Disclosed is a method and apparatus for learning behavior in a software robot. The method includes detecting a kind of an object in cyberspace related to a kind of presently manifested action, and a kind and the variation of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of one or more objects in the cyberspace, each of one or more emotional states and each of one or more percept states, respectively defined in the software robot, a kind of an object in cyberspace related to the detected kind of the action among multiple episodes for responding a combination of kinds of respective one or more actions and for storing variation related to each state, and a kind of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; using variation stored in response to the found episode and variation generated in response to the manifested action, and calculating a representative variation; and storing the representative variation as a variation of the found episode.
    • 公开了一种用于在软件机器人中学习行为的方法和装置。 该方法包括检测与一种当前表现的动作有关的网络空间中的对象的种类,以及预先设定的感知状态或情绪状态中的至少一种状态的种类和变化,以便相对于动作的种类而改变 ; 分别对应于网络空间中的一个或多个对象中的每一个,分别在软件机器人中定义的一个或多个情绪状态和一个或多个感知状态中的每一个,与检测到的种类有关的网络空间中的对象的种类 用于响应相应的一个或多个动作的种类的组合并且用于存储与每个状态相关的变化的多个事件中的动作,以及预先设定为相对于所述动作变化的感知状态或情绪状态中的至少一种状态的种类 一种行动; 使用响应于所发现的情节而存储的变化和响应于所表现的动作产生的变化,以及计算代表性变化; 并且将代表性变体存储为所发现的剧集的变体。
    • 3. 发明申请
    • APPARATUS AND METHOD FOR EXPRESSING BEHAVIOR OF SOFTWARE ROBOT
    • 用于表示软件机器人行为的装置和方法
    • US20080195566A1
    • 2008-08-14
    • US12027631
    • 2008-02-07
    • Kang-Hee LEEKwang-Choon KimJong-Hwan KimYe-Hoon KimSe-Hyoung ChoSeung-Hwan Choi
    • Kang-Hee LEEKwang-Choon KimJong-Hwan KimYe-Hoon KimSe-Hyoung ChoSeung-Hwan Choi
    • G06F15/18G06F19/00
    • G06N3/004
    • Disclosed is a software robot apparatus and a method including detecting environmental information, detecting multiple external events objects, generating a sensor value having an effect on the software robot, changing physical states related to external events and internal events, generating a physical state value, changing a perception state, generating a perception state value corresponding to the changed perception state, changing an emotion state, generating an emotion state value; detecting an episode related to a behavior type, storing a variance related to each state, calculating a representative variance, and when a current perception state or a current emotion state is identified as unstable, detecting an episode capable of changing the unstable state into a normal state, determining a behavior and an object stored in the detected episode as a final behavior object, and expressing an actual behavior of the software robot to the object corresponding to the final behavior object.
    • 公开了一种软件机器人装置和方法,包括检测环境信息,检测多个外部事件对象,生成对软件机器人具有影响的传感器值,改变与外部事件和内部事件相关的物理状态,生成物理状态值,改变 感知状态,产生与改变的感知状态对应的感觉状态值,改变情绪状态,产生情绪状态值; 检测与行为类型相关的情节,存储与每个状态相关的方差,计算代表性方差,以及当当前感知状态或当前情感状态被识别为不稳定时,检测能够将不稳定状态改变为正常的情节 将所检测到的情节中存储的行为和对象确定为最终行为对象,并将软件机器人的实际行为表示到对应于最终行为对象的对象。
    • 4. 发明授权
    • Method and apparatus for learning behavior in software robot
    • 软件机器人学习行为的方法和装置
    • US07984013B2
    • 2011-07-19
    • US12026244
    • 2008-02-05
    • Kang-Hee LeeKwang-Choon KimYe-Hoon KimJong-Hwan KimSe-Hyoung ChoSeung-Hwan Cho
    • Kang-Hee LeeKwang-Choon KimYe-Hoon KimJong-Hwan KimSe-Hyoung ChoSeung-Hwan Cho
    • G06F15/18
    • G06N3/004
    • Disclosed is a method and apparatus for learning behavior in a software robot. The method includes detecting a kind of an object in cyberspace related to a kind of presently manifested action, and a kind and the variation of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of one or more objects in the cyberspace, each of one or more emotional states and each of one or more percept states, respectively defined in the software robot, a kind of an object in cyberspace related to the detected kind of the action among multiple episodes for responding a combination of kinds of respective one or more actions and for storing variation related to each state, and a kind of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; using variation stored in response to the found episode and variation generated in response to the manifested action, and calculating a representative variation; and storing the representative variation as a variation of the found episode.
    • 公开了一种用于在软件机器人中学习行为的方法和装置。 该方法包括检测与一种当前表现的动作有关的网络空间中的对象的种类,以及预先设定的感知状态或情绪状态中的至少一种状态的种类和变化,以便相对于动作的种类而改变 ; 分别对应于网络空间中的一个或多个对象中的每一个,分别在软件机器人中定义的一个或多个情绪状态和一个或多个感知状态中的每一个,与检测到的种类有关的网络空间中的对象的种类 用于响应相应的一个或多个动作的种类的组合并且用于存储与每个状态相关的变化的多个事件中的动作,以及预先设定为相对于所述动作变化的感知状态或情绪状态中的至少一种状态的种类 一种行动; 使用响应于所发现的情节而存储的变化和响应于所表现的动作产生的变化,以及计算代表性变化; 并且将代表性变体存储为所发现的剧集的变体。