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    • 32. 发明授权
    • Query controlled behavior models as components of intelligent agents
    • 查询控制行为模型作为智能代理的组成部分
    • US07636701B2
    • 2009-12-22
    • US11929170
    • 2007-10-30
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • G06N5/00
    • A63F13/67A63F13/10A63F2300/60A63F2300/6027G06N99/005
    • Providing dynamic learning for software agents in a simulation is described. The software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to a player character. A game designer provides program code, from which compile-time steps determine a set of raw features. The code may identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, may be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.
    • 描述了在仿真中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色询问学习者时,它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码,编译时步骤确定一组原始特征。 代码可以识别功能(如计算距离)。 在编译时步骤中,根据脚本语言确定这些原始特征,因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单,更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对(更基础的)学习者,状态机的结果,计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。
    • 33. 发明申请
    • Real Time Context Learning by Software Agents
    • 软件代理的实时上下文学习
    • US20080097948A1
    • 2008-04-24
    • US11929170
    • 2007-10-30
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • G06N5/00
    • A63F13/67A63F13/10A63F2300/60A63F2300/6027G06N99/005
    • Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.
    • 在模拟中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色查询学习者时,它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码,编译时步骤确定一组原始特征。 代码可能会识别一个函数(如计算距离)。 在编译时步骤中,根据脚本语言确定这些原始特征,因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单,更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对(更基础的)学习者,状态机的结果,计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。
    • 34. 发明授权
    • Real time context learning by software agents
    • 软件代理实时上下文学习
    • US07296007B1
    • 2007-11-13
    • US10885495
    • 2004-07-06
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • John FungeRon MusickDaniel DobsonNigel DuffyMichael McNallyXiaoyuan TuIan WrightWei YenBrian Cabral
    • G06F17/00G06N5/00
    • A63F13/67A63F13/10A63F2300/60A63F2300/6027G06N99/005
    • Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.
    • 在模拟中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色查询学习者时,它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码,编译时步骤确定一组原始特征。 代码可能会识别一个函数(如计算距离)。 在编译时步骤中,根据脚本语言确定这些原始特征,因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单,更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对(更基础的)学习者,状态机的结果,计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。
    • 36. 发明授权
    • Hybrid platform for video games
    • 视频游戏混合平台
    • US08073909B2
    • 2011-12-06
    • US12264260
    • 2008-11-04
    • Wei Yen
    • Wei Yen
    • G06F15/16G06F17/00G06F19/00A63F9/24A63F13/00
    • A63F13/235A63F13/02A63F2300/1025A63F2300/203H04L67/38H04N21/4781
    • Techniques for providing a hybrid platform for video games are disclosed. To enjoy the video and audio quality a TV could provide, all game actions with a video game are provided via a TV. However, the video game itself is running on a generic personal computer (PC). In one embodiment, a game hub is provided to receive from a game controller various game actions by a game player with the video game. The game hub provides an (wired or wireless) interface for transferring signals representing the game actions to the PC, in return the PC provides an uncompressed digital stream to the TV for display.
    • 公开了提供用于视频游戏的混合平台的技术。 要享受电视可以提供的视频和音频质量,通过电视提供所有与视频游戏的游戏动作。 然而,视频游戏本身正在一般的个人计算机(PC)上运行。 在一个实施例中,提供游戏中枢以从游戏控制器接收具有视频游戏的游戏玩家的各种游戏动作。 游戏中心提供(有线或无线)接口,用于将表示游戏动作的信号传送到PC,作为回报,PC向TV提供未压缩的数字流以进行显示。
    • 40. 发明授权
    • System and method for generating new licenses
    • 用于生成新许可证的系统和方法
    • US07464058B2
    • 2008-12-09
    • US11203357
    • 2005-08-12
    • Wei YenDavid BlytheJohn PrincenPramila Srinivasan
    • Wei YenDavid BlytheJohn PrincenPramila Srinivasan
    • H04L9/00
    • G06F21/71G06F21/10G06F21/51G06F21/52G06F21/73G06F21/74G06F2221/0773Y10S707/99939
    • Dynamic assignment of rights to content, such as in a closed distribution system. Noting state information generated by an item of current content, and modifying state or rights of new content in response. Preloading or dynamically sending new content to the owner of the current content, with rights being enabled only at a later time, in the playback device, with predetermined conditions. In response to current state information, dynamically sending a license for new content from a server. Conditional or dynamic licenses to new content, including a set of rights associated with a class of possible sets of state information. Assignment of limited rights to a content, with support in a secure player to enforce them; for purposes of rental, bonus content, trials and other business models.
    • 内容权限的动态分配,例如封闭的分发系统。 注意由当前内容的项目生成的状态信息,以及响应地修改新内容的状态或权限。 预先加载或动态地将新内容发送给当前内容的所有者,只有稍后才能在播放设备中以预定条件启用权限。 响应于当前状态信息,从服务器动态地发送新内容的许可证。 对新内容的条件或动态许可证,包括与一组可能的状态信息相关联的一组权限。 赋予内容的有限权利,并在安全的玩家中支持执行; 出租,奖金内容,试用等商业模式。