System and method for embedding emotion in logic systems
    1.
    发明授权
    System and method for embedding emotion in logic systems 有权
    逻辑系统中嵌入情绪的系统和方法

    公开(公告)号:US08095485B2

    公开(公告)日:2012-01-10

    申请号:US12353637

    申请日:2009-01-14

    Inventor: Steven A. Curtis

    CPC classification number: G06N3/004 G06N3/086

    Abstract: A system, method, and computer readable-media for creating a stable synthetic neural system. The method includes training an intellectual choice-driven synthetic neural system (SNS), training an emotional rule-driven SNS by generating emotions from rules, incorporating the rule-driven SNS into the choice-driven SNS through an evolvable interface, and balancing the emotional SNS and the intellectual SNS to achieve stability in a nontrivial autonomous environment with a Stability Algorithm for Neural Entities (SANE). Generating emotions from rules can include coding the rules into the rule-driven SNS in a self-consistent way. Training the emotional rule-driven SNS can occur during a training stage in parallel with training the choice-driven SNS. The training stage can include a self assessment loop which measures performance characteristics of the rule-driven SNS against core genetic code. The method uses a stability threshold to measure stability of the incorporated rule-driven SNS and choice-driven SNS using SANE.

    Abstract translation: 一种用于创建稳定的合成神经系统的系统,方法和计算机可读介质。 该方法包括训练智力选择驱动的合成神经系统(SNS),通过从规则中产生情绪来训练情绪规则驱动的SNS,通过可演化的界面将规则驱动的SNS并入选择驱动的SNS,并平衡情绪 SNS和智力SNS通过神经实体的稳定性算法(SANE)在一个非平凡的自治环境中实现稳定性。 从规则中产生情绪可以包括以自我一致的方式将规则编入规则驱动的SNS。 训练情绪规则驱动的SNS可以在培训阶段与培训选择驱动的SNS并行发生。 培训阶段可以包括一个自我评估循环,该循环衡量规则驱动的SNS对核心遗传密码的性能特征。 该方法使用稳定性阈值来测量使用SANE的并入规则驱动的SNS和选择驱动的SNS的稳定性。

    Methods of determining complete sensor requirements for autonomous mobility
    2.
    发明授权
    Methods of determining complete sensor requirements for autonomous mobility 有权
    确定自主移动性的完整传感器要求的方法

    公开(公告)号:US08160728B2

    公开(公告)日:2012-04-17

    申请号:US12558672

    申请日:2009-09-14

    Inventor: Steven A. Curtis

    CPC classification number: B25J9/161 G05B2219/40616

    Abstract: A method of determining complete sensor requirements for autonomous mobility of an autonomous system includes computing a time variation of each behavior of a set of behaviors of the autonomous system, determining mobility sensitivity to each behavior of the autonomous system, and computing a change in mobility based upon the mobility sensitivity to each behavior and the time variation of each behavior. The method further includes determining the complete sensor requirements of the autonomous system through analysis of the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior, wherein the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior are characteristic of the stability of the autonomous system.

    Abstract translation: 确定自主系统的自主移动性的完整传感器要求的方法包括计算自主系统的一组行为的每个行为的时间变化,确定对自主系统的每个行为的移动灵敏度,以及计算基于移动性的变化 对每个行为的移动敏感性和每个行为的时间变化。 该方法还包括通过分析移动性变化的相对幅度,每个行为的移动灵敏度和每个行为的时间变化来确定自主系统的完整传感器要求,其中移动性的变化的相对大小, 每个行为的移动敏感性和每个行为的时间变化是自主系统稳定性的特征。

    SYSTEM AND METHOD FOR DETERMINING STABILITY OF A NEURAL SYSTEM
    3.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING STABILITY OF A NEURAL SYSTEM 有权
    用于确定神经系统稳定性的系统和方法

    公开(公告)号:US20090083201A1

    公开(公告)日:2009-03-26

    申请号:US11861687

    申请日:2007-09-26

    Inventor: Steven A. Curtis

    CPC classification number: G06N3/02

    Abstract: Disclosed are methods, systems, and computer-readable media for determining stability of a neural system. The method includes tracking a function world line of an N element neural system within at least one behavioral space, determining whether the tracking function world line is approaching a psychological stability surface, and implementing a quantitative solution that corrects instability if the tracked function world line is approaching the psychological stability surface.

    Abstract translation: 公开了用于确定神经系统的稳定性的方法,系统和计算机可读介质。 该方法包括在至少一个行为空间内跟踪N元素神经系统的功能世界线,确定跟踪功能世界线是否接近心理稳定性表面,以及如果跟踪的功能世界线是 接近心理稳定面。

    SYSTEM AND METHOD FOR EMBEDDING EMOTION IN LOGIC SYSTEMS
    4.
    发明申请
    SYSTEM AND METHOD FOR EMBEDDING EMOTION IN LOGIC SYSTEMS 有权
    用于在逻辑系统中嵌入情感的系统和方法

    公开(公告)号:US20100179671A1

    公开(公告)日:2010-07-15

    申请号:US12353637

    申请日:2009-01-14

    Inventor: Steven A. Curtis

    CPC classification number: G06N3/004 G06N3/086

    Abstract: A system, method, and computer readable-media for creating a stable synthetic neural system. The method includes training an intellectual choice-driven synthetic neural system (SNS), training an emotional rule-driven SNS by generating emotions from rules, incorporating the rule-driven SNS into the choice-driven SNS through an evolvable interface, and balancing the emotional SNS and the intellectual SNS to achieve stability in a nontrivial autonomous environment with a Stability Algorithm for Neural Entities (SANE). Generating emotions from rules can include coding the rules into the rule-driven SNS in a self-consistent way. Training the emotional rule-driven SNS can occur during a training stage in parallel with training the choice-driven SNS. The training stage can include a self assessment loop which measures performance characteristics of the rule-driven SNS against core genetic code. The method uses a stability threshold to measure stability of the incorporated rule-driven SNS and choice-driven SNS using SANE.

    Abstract translation: 一种用于创建稳定的合成神经系统的系统,方法和计算机可读介质。 该方法包括训练智力选择驱动的合成神经系统(SNS),通过从规则中产生情绪来训练情绪规则驱动的SNS,通过可演化界面将规则驱动的SNS纳入选择驱动的SNS,并平衡情绪 SNS和智力SNS通过神经实体的稳定性算法(SANE)在一个非平凡的自治环境中实现稳定性。 从规则中产生情绪可以包括以自我一致的方式将规则编入规则驱动的SNS。 训练情绪规则驱动的SNS可以在培训阶段与培训选择驱动的SNS并行发生。 培训阶段可以包括一个自我评估循环,该循环衡量规则驱动的SNS对核心遗传密码的性能特征。 该方法使用稳定性阈值来测量使用SANE的并入规则驱动的SNS和选择驱动的SNS的稳定性。

    Evolvable synthetic neural system
    5.
    发明授权
    Evolvable synthetic neural system 有权
    可演化的合成神经系统

    公开(公告)号:US07512568B2

    公开(公告)日:2009-03-31

    申请号:US11109400

    申请日:2005-04-08

    Inventor: Steven A. Curtis

    CPC classification number: G06N3/086

    Abstract: An evolvable synthetic neural system includes an evolvable neural interface operably coupled to at least one neural basis function. Each neural basis function includes an evolvable neural interface operably coupled to a heuristic neural system to perform high-level functions and an autonomic neural system to perform low-level functions. In some embodiments, the evolvable synthetic neural system is operably coupled to one or more evolvable synthetic neural systems in a hierarchy.

    Abstract translation: 可演化的合成神经系统包括可操作地耦合到至少一个神经基函数的可演化神经接口。 每个神经基函数包括可操作地耦合到启发式神经系统以执行高级功能的可演化神经接口和执行低级功能的自主神经系统。 在一些实施例中,可演化合成神经系统可操作地耦合到等级中的一个或多个可演化的合成神经系统。

    System and method for determining stability of a neural system
    6.
    发明授权
    System and method for determining stability of a neural system 有权
    用于确定神经系统稳定性的系统和方法

    公开(公告)号:US08041661B2

    公开(公告)日:2011-10-18

    申请号:US11861687

    申请日:2007-09-26

    Inventor: Steven A. Curtis

    CPC classification number: G06N3/02

    Abstract: Disclosed are methods, systems, and computer-readable media for determining stability of a neural system. The method includes tracking a function world line of an N element neural system within at least one behavioral space, determining whether the tracking function world line is approaching a psychological stability surface, and implementing a quantitative solution that corrects instability if the tracked function world line is approaching the psychological stability surface.

    Abstract translation: 公开了用于确定神经系统的稳定性的方法,系统和计算机可读介质。 该方法包括在至少一个行为空间内跟踪N元素神经系统的功能世界线,确定跟踪功能世界线是否接近心理稳定性表面,以及如果跟踪的功能世界线是 接近心理稳定面。

    Reconfigurable structure
    7.
    发明授权
    Reconfigurable structure 有权
    可重构结构

    公开(公告)号:US07769488B2

    公开(公告)日:2010-08-03

    申请号:US11108627

    申请日:2005-04-08

    Inventor: Steven A. Curtis

    CPC classification number: B25J17/0266 B25J9/0075 B25J9/0078 Y10T74/1852

    Abstract: A reconfigurable structure includes a plurality of selectively extensible and retractable limbs, at least one node pivotably receiving respective ends of at least two limbs, and an actuator associated with each limb for extending and retracting the limb. The structure may further include an addressable module associated with each actuator to control the actuator.

    Abstract translation: 可重构结构包括多个可选择性地伸展和伸缩的肢体,至少一个可枢转地接纳至少两个肢体的端部的节点以及与每个肢体相关联的致动器,用于伸出和缩回肢体。 该结构还可以包括与每个致动器相关联的可寻址模块以控制致动器。

    METHODS OF DETERMINING COMPLETE SENSOR REQUIREMENTS FOR AUTONOMOUS MOBILITY
    8.
    发明申请
    METHODS OF DETERMINING COMPLETE SENSOR REQUIREMENTS FOR AUTONOMOUS MOBILITY 有权
    确定自动移动的完整传感器要求的方法

    公开(公告)号:US20110066284A1

    公开(公告)日:2011-03-17

    申请号:US12558672

    申请日:2009-09-14

    Inventor: Steven A. Curtis

    CPC classification number: B25J9/161 G05B2219/40616

    Abstract: A method of determining complete sensor requirements for autonomous mobility of an autonomous system includes computing a time variation of each behavior of a set of behaviors of the autonomous system, determining mobility sensitivity to each behavior of the autonomous system, and computing a change in mobility based upon the mobility sensitivity to each behavior and the time variation of each behavior. The method further includes determining the complete sensor requirements of the autonomous system through analysis of the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior, wherein the relative magnitude of the change in mobility, the mobility sensitivity to each behavior, and the time variation of each behavior are characteristic of the stability of the autonomous system.

    Abstract translation: 确定自主系统的自主移动性的完整传感器要求的方法包括计算自主系统的一组行为的每个行为的时间变化,确定对自主系统的每个行为的移动灵敏度,以及计算基于移动性的变化 对每个行为的移动敏感性和每个行为的时间变化。 该方法还包括通过分析移动性变化的相对幅度,每个行为的移动灵敏度和每个行为的时间变化来确定自主系统的完整传感器要求,其中移动性的变化的相对大小, 每个行为的移动敏感性和每个行为的时间变化是自主系统稳定性的特征。

    FIELD REACTIVE AMPLIFICATION CONTROLLING TOTAL ADHESION LOADING
    9.
    发明申请
    FIELD REACTIVE AMPLIFICATION CONTROLLING TOTAL ADHESION LOADING 审中-公开
    现场反应放大控制总粘合荷载

    公开(公告)号:US20080169003A1

    公开(公告)日:2008-07-17

    申请号:US11870190

    申请日:2007-10-10

    Inventor: STEVEN A. CURTIS

    CPC classification number: B03C3/68 B03C7/02 B03C2201/10

    Abstract: Systems and methods are provided through which in some embodiments for controlling intermolecular forces between a contact surface and a fabricated microstructure having a base and at least one or more nano-structures. The contact surface and the fabricated microstructure are joined by the interplay of electrostatic and van der Waals forces. The contact surface can be planetary dust with surfaces involved in planetary exploration, as well as synthetic gecko hairs that would allow small robots to climb walls and traverse ceilings. The system and method allow intense electrostatic forces to be applied at variable levels in order to modulate the effectiveness of van der Waals forces as well as external electrostatic forces. This device enables advanced small robot mobility, planetary dust control at all possible ambient pressures, as well as dust sample collection for exploration analysis.

    Abstract translation: 提供了系统和方法,在一些实施方案中,用于控制接触表面和具有碱和至少一种或多种纳米结构的制造的微结构之间的分子间力。 接触表面和制造的微结构通过静电和范德华力的相互作用相结合。 接触表面可以是与行星探测相关的表面的行星尘埃,以及允许小型机器人爬墙和横越天花板的合成壁虎毛。 该系统和方法允许以可变水平施加强烈的静电力,以便调节范德华力和外部静电力的有效性。 该设备可实现先进的小机器人移动性,所有可能的环境压力下的行星式粉尘控制,以及用于勘探分析的灰尘样品收集。

Patent Agency Ranking