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    • 1. 发明授权
    • Method and system for rapid evaluation of logical expressions
    • 逻辑表达式快速评估的方法和系统
    • US07917455B1
    • 2011-03-29
    • US12622907
    • 2009-11-20
    • Daniel DobsonJohn FungeCharles Musick, Jr.Stuart ReynoldsXiaoyuan TuIan WrightWei Yen
    • Daniel DobsonJohn FungeCharles Musick, Jr.Stuart ReynoldsXiaoyuan TuIan WrightWei Yen
    • G06F15/18
    • G06N99/005
    • Methods and systems capable of determining which subset of a set of logical expressions are true with relatively few evaluations of the primitives that together with any standard logical connectives, make up the logical expressions. A plurality of directed acyclic graphs, each graph including at least one root node, at least one leaf node, and at least one non-leaf node associated with a leaf node. Each node is associated with a, possibly empty, subset of presumed to be true logical expressions. Each non-leaf node is associated with one of the primitives mentioned in any of the logical expressions. Edges are defined between two of the nodes, each edge being associated with a possible value, or range of possible values, of the primitive associated with the node at the tail of the edge. Paths are defined through each of the directed acyclic graphs from a root node to a leaf node by recursively following each edge corresponding to the current value of the primitive at a selected non-leaf node. Lastly, subsets of logical expressions associated with the nodes on the defined paths are collated to yield a subset of logical expressions that are true.
    • 方法和系统能够确定一组逻辑表达式的哪个子集是真实的,而对于与任何标准逻辑连接符一起构成逻辑表达式的基元的相对较少的评估。 多个有向无环图,每个图包括至少一个根节点,至少一个叶节点和与叶节点相关联的至少一个非叶节点。 每个节点与假设为真逻辑表达式的可能为空的子集相关联。 每个非叶节点与任何逻辑表达式中提到的原语之一相关联。 在两个节点之间定义边缘,每个边缘与与边缘尾部的节点相关联的基元的可能值或可能值的范围相关联。 通过在选定的非叶节点处递归地跟随对应于原语的当前值的每个边缘,通过从根节点到叶节点的每个有向无环图来定义路径。 最后,与定义的路径上的节点相关联的逻辑表达式的子集进行整理,以产生真实的逻辑表达式的子集。
    • 3. 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。
    • 7. 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。
    • 8. 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。
    • 10. 发明授权
    • Process for traversing through large rest data graph
    • 遍历大休息数据图的过程
    • US09184980B1
    • 2015-11-10
    • US13558157
    • 2012-07-25
    • Robert Matthew AmanDaniel Dobson
    • Robert Matthew AmanDaniel Dobson
    • G06F13/00H04L29/08
    • H04L67/02G06F17/30958H04L29/08072
    • A method for data discovery and retrieval is provided. A REST API client library provides a discovery document for a data graph. The discovery document is structured data containing: (1) a list of data graph endpoints and (2) the format of the information each endpoint returns. The client library uses the REST API to query the server for a data object, wrapping the data object in a new data object. The new data object contains: (1) fixed data from the server-returned data object and (2) a function for each graph node that is directly connected to the requested data object. When these functions execute, the next data objects in the data graph can be retrieved, allowing for quick graph navigation. Given a discovery document and the ability to generate closures based on the document, a query object can be constructed that traverses several layers of the API at once.
    • 提供了一种用于数据发现和检索的方法。 REST API客户端库为数据图提供了一个发现文档。 发现文档是包含以下内容的结构化数据:(1)数据图表端点列表和(2)每个端点返回的信息的格式。 客户端库使用REST API来查询服务器的数据对象,将数据对象包装在一个新的数据对象中。 新的数据对象包含:(1)来自服务器返回的数据对象的固定数据;(2)直接连接到请求的数据对象的每个图形节点的函数。 当这些功能执行时,可以检索数据图中的下一个数据对象,以便快速图形导航。 给定一个发现文档和基于文档生成闭包的能力,可以构建一个遍历该API几层的查询对象。