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公开(公告)号:US07558698B2
公开(公告)日:2009-07-07
申请号:US11890262
申请日:2007-08-03
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06G7/00
CPC分类号: G06N5/02 , G06N99/005 , Y10S707/99943
摘要: A system including at least specialized elements that are restricted to a particular domain of data analysis or processing and configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.
摘要翻译: 至少包括限于数据分析或处理的特定领域的专门元件的系统,以及允许专门元件被定制到特定应用的可配置数据。 可配置数据将特殊元素的适用性扩展到特定域内的多个应用程序。 供应商可以向开发商提供专门的元素,而不需要具体了解具体应用所使用的结构和内部操作的详细信息。 特定的应用程序可以由开发人员生成,而开发人员不必对专门的元素使用的内部操作有详细的了解。
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公开(公告)号:US20070260567A1
公开(公告)日:2007-11-08
申请号:US10885495
申请日:2004-07-06
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06F17/00
CPC分类号: A63F13/67 , A63F13/10 , A63F2300/60 , A63F2300/6027 , G06N99/005
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US07263462B2
公开(公告)日:2007-08-28
申请号:US11036975
申请日:2005-01-14
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06G7/00
CPC分类号: G06N5/02 , G06N99/005 , Y10S707/99943
摘要: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.
摘要翻译: 包括至少(1)限于数据分析或处理的特定领域的专门元件的系统,以及(2)允许专门元件被定制到特定应用的可配置数据。 可配置数据将特殊元素的适用性扩展到特定域内的多个应用程序。 供应商可以向开发商提供专门的元素,而不需要具体了解具体应用所使用的结构和内部操作的详细信息。 特定的应用程序可以由开发人员生成,而开发人员不必对专门的元素使用的内部操作有详细的了解。
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公开(公告)号:US20060036398A1
公开(公告)日:2006-02-16
申请号:US11036975
申请日:2005-01-14
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06F17/18
CPC分类号: G06N5/02 , G06N99/005 , Y10S707/99943
摘要: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.
摘要翻译: 包括至少(1)限于数据分析或处理的特定领域的专门元件的系统,以及(2)允许专门元件被定制到特定应用的可配置数据。 可配置数据将特殊元素的适用性扩展到特定域内的多个应用程序。 供应商可以向开发商提供专门的元素,而不需要具体了解具体应用所使用的结构和内部操作的详细信息。 特定的应用程序可以由开发人员生成,而开发人员不必对专门的元素使用的内部操作有详细的了解。
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5.
公开(公告)号:US07636701B2
公开(公告)日:2009-12-22
申请号:US11929170
申请日:2007-10-30
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06N5/00
CPC分类号: A63F13/67 , A63F13/10 , A63F2300/60 , A63F2300/6027 , G06N99/005
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US20080097948A1
公开(公告)日:2008-04-24
申请号:US11929170
申请日:2007-10-30
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
IPC分类号: G06N5/00
CPC分类号: A63F13/67 , A63F13/10 , A63F2300/60 , A63F2300/6027 , G06N99/005
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US07296007B1
公开(公告)日:2007-11-13
申请号:US10885495
申请日:2004-07-06
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
CPC分类号: A63F13/67 , A63F13/10 , A63F2300/60 , A63F2300/6027 , G06N99/005
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US20080065353A1
公开(公告)日:2008-03-13
申请号:US11890262
申请日:2007-08-03
申请人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
发明人: John Funge , Ron Musick , Daniel Dobson , Nigel Duffy , Michael McNally , Xiaoyuan Tu , Ian Wright , Wei Yen , Brian Cabral
CPC分类号: G06N5/02 , G06N99/005 , Y10S707/99943
摘要: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.
摘要翻译: 包括至少(1)限于数据分析或处理的特定领域的专门元件的系统,以及(2)允许专门元件被定制到特定应用的可配置数据。 可配置数据将特殊元素的适用性扩展到特定域内的多个应用程序。 供应商可以向开发商提供专门的元素,而不需要具体了解具体应用所使用的结构和内部操作的详细信息。 特定的应用程序可以由开发人员生成,而开发人员不必对专门的元素使用的内部操作有详细的了解。
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