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11. 发明授权

US07353176B1 Actuation system for an agent oriented architecture 有权
标题翻译：面向代理架构的执行系统
公开(公告)号：US07353176B1
公开(公告)日：2008-04-01
申请号：US10327440
申请日：2002-12-20
申请人： Cristobal H. Baray , Daniel Charles Yuen , Aparna Joshi , Babak Hodjat
发明人： Cristobal H. Baray , Daniel Charles Yuen , Aparna Joshi , Babak Hodjat
IPC分类号： G10L15/00
CPC分类号： G10L15/22
摘要： Roughly described, the invention addresses the above problems by separating an actuation subsystem from the natural language interpretation system. The NLI develops “interpretation result commands” in response to user input, and transmits them to the actuation subsystem using a predefined interpretation result command format that is independent of the requirements of the particular back-end application. The actuation subsystem, which is the only component that is specific to the back-end application, converts the interpretation result command into one or more “application commands” and communicates it (them) to the back-end application in the form required by the specific back-end application. In some embodiments the actuation subsystem also can take results from a back-end application in application-dependent form, and convert it to a common predefined internal format that is application-independent.
摘要翻译：粗略地描述，本发明通过将致动子系统与自然语言解释系统分离来解决上述问题。 NLI响应于用户输入开发“解释结果命令”，并使用独立于特定后端应用程序的要求的预定义解释结果命令格式将其发送到激活子系统。作为后端应用程序特有的唯一组件的致动子系统将解释结果命令转换为一个或多个“应用程序命令”，并将它们（它们）以其所需的形式传送给后端应用程序具体的后端应用。在一些实施例中，致动子系统还可以以应用依赖形式从后端应用获取结果，并将其转换为与应用无关的公共预定内部格式。

12. 发明授权

US07292978B2 Shortcut names for use in a speech recognition system 失效
标题翻译：用于语音识别系统的快捷名称
公开(公告)号：US07292978B2
公开(公告)日：2007-11-06
申请号：US10728600
申请日：2003-12-04
申请人： Norikazu Endo , Benjamin K. Reaves , Babak Hodjat , Kanae Ishii , Makoto Kurahashi , Masahiko Funaki
发明人： Norikazu Endo , Benjamin K. Reaves , Babak Hodjat , Kanae Ishii , Makoto Kurahashi , Masahiko Funaki
IPC分类号： G10L15/00
CPC分类号： G01C21/3608 , G10L15/26
摘要： Shortcut names corresponding to flagged locations or frequently stated destinations, phrases, or sentences are registered, maintained, used, and deregistered in a speech recognition system. If a flagged location or a frequently stated destination, phrase, or sentence is received by the speech recognition system, the user is prompted to provide a shortcut name corresponding to the frequently stated destination, phrase, or sentence in the form of speech, which is then recognized by speech recognition and registered to a personal profile of the user. The shortcut name is also added to a grammar database of the speech recognition system, so that the speech recognition system may recognize the shortcut name itself. The shortcut name may also be deleted, when speech received from a user contains a shortcut name but the user did not intend the shortcut name to mean the corresponding destination, phrase, or sentence.
摘要翻译：对应于标记位置或经常声明的目的地，短语或句子的快捷名称在语音识别系统中被注册，维护，使用和注销。如果由语音识别系统接收到标记位置或经常声明的目的地，短语或句子，则提示用户提供与语音形式的频繁指定的目的地，短语或句子相对应的快捷名称，其为然后通过语音识别识别并注册到用户的个人资料。快捷方式名称也被添加到语音识别系统的语法数据库中，使得语音识别系统可以识别快捷名称本身。快捷方式名称也可以被删除，当从用户接收的语音包含快捷方式名称，但是用户没有想要快捷方式名称来表示对应的目的地，短语或句子。

13. 发明授权

US06990670B1 Interpretation phase for adaptive agent oriented software architecture 有权
标题翻译：适应性代理导向软件架构的解释阶段
公开(公告)号：US06990670B1
公开(公告)日：2006-01-24
申请号：US09706948
申请日：2000-11-06
申请人： Babak Hodjat
发明人： Babak Hodjat
IPC分类号： G06F3/00
CPC分类号： G06N5/043 , G06F17/27
摘要： Roughly described, the interpretation phase of a system using an Adaptive Agent-Oriented Software Architecture allows queried agents to respond to queries before they have all their own responses from their own downchain agents. Alternatively or additionally, the originating agent can include a “depth-or-search” indication with each query, thereby preventing propagation of the query through more than the indicated number of agents. In the latter alternative, the originating agent can subsequently make the same query to the same downchain agents, but with an increased depth-or-search indication, if for example the originating agent is not yet satisfied with the claims it received in response to the first query.
摘要翻译：粗略描述，使用面向自适应面向对象的软件体系结构的系统的解释阶段允许查询代理在自己的下行代理程序拥有所有自己的响应之前对查询做出响应。或者或另外，始发代理可以包括每个查询的“深度搜索”指示，从而防止查询超过所指示的代理数量的传播。在后一种替代方案中，始发代理可以随后对相同的下行代理进行相同的查询，但是随着深度或搜索指示的增加，如果例如始发代理还不满足其响应于第一个查询。

14. 发明授权

US09002759B2 Data mining technique with maintenance of fitness history 有权
标题翻译：数据挖掘技术与健康史的维护
公开(公告)号：US09002759B2
公开(公告)日：2015-04-07
申请号：US13358381
申请日：2012-01-25
申请人： Babak Hodjat , Hormoz Shahrzad
发明人： Babak Hodjat , Hormoz Shahrzad
IPC分类号： G06N3/00 , G06N3/12
CPC分类号： G06N3/126
摘要： Roughly described, a data mining system includes a candidate gene database in which each candidate individual has a respective fitness estimate. A gene pool processor tests individuals from the candidate gene pool on training data and updates the fitness estimate of the individuals. A gene harvesting module deploys selected individuals from the gene pool. The gene pool processor includes a competition module which selects individuals for discarding in dependence upon their updated fitness estimate. The system maintains a fitness training history for each of the candidate individuals, identifying the data samples on which the individual has been tested. The historical information can be used to assist in any one or more of the following: competition among the individuals, avoiding re-testing of an individual on the same data sample, removing duplicate test data before merging fitness evaluations, improving gene pool diversity, and selecting individuals for deployment.
摘要翻译：粗略地描述，数据挖掘系统包括候选基因数据库，其中每个候选个体具有相应的适合度估计。基因池处理器对来自候选基因库的个体进行训练数据的测试并更新个体的适应度估计。基因收获模块从基因库中部署选定的个体。基因池处理器包括竞争模块，其根据其更新的适应度估计来选择个人进行丢弃。系统维护每个候选人的健身训练历史，识别个人已经在其上测试的数据样本。历史信息可用于协助以下任何一个或多个：个人之间的竞争，避免在同一数据样本上重新测试个人，在合并健身评估之前删除重复的测试数据，改善基因库多样性，以及选择个人进行部署。

15. 发明授权

US08977581B1 Data mining technique with diversity promotion 有权
标题翻译：数据挖掘技术与多样化推广
公开(公告)号：US08977581B1
公开(公告)日：2015-03-10
申请号：US13540507
申请日：2012-07-02
申请人： Babak Hodjat , Hormoz Shahrzad
发明人： Babak Hodjat , Hormoz Shahrzad
IPC分类号： G06N3/12
CPC分类号： G06N3/126
摘要： Roughly described, a computer-implemented evolutionary data mining system includes a memory storing a candidate gene database in which each candidate individual has a respective fitness estimate; a gene pool processor which tests individuals from the candidate gene pool on training data and updates the fitness estimate associated with the individuals in dependence upon the tests; and a gene harvesting module for deploying selected individuals from the gene pool, wherein the gene pool processor includes a competition module which selects individuals for discarding in dependence upon both their testing experience level and a diversity measure of individuals in the gene pool.
摘要翻译：大致描述，计算机实现的进化数据挖掘系统包括存储候选基因数据库的存储器，其中每个候选个体具有相应的适合度估计; 一个基因池处理器，用于对候选基因库中的个体进行训练数据的测试，并根据测试更新与个体相关的适应性估计; 以及用于从所述基因库中部署选定个体的基因收获模块，其中所述基因库处理器包括竞争模块，所述竞争模块根据其测试经验水平和所述基因库中的个体的多样性度量来选择个体进行丢弃。

16. 发明申请

US20120239517A1 DISTRIBUTED NETWORK FOR PERFORMING COMPLEX ALGORITHMS 审中-公开
标题翻译：用于执行复杂算法的分布式网络
公开(公告)号：US20120239517A1
公开(公告)日：2012-09-20
申请号：US13443546
申请日：2012-04-10
申请人： Antoine Blondeau , Adam Cheyer , Babak Hodjat , Peter Harrigan
发明人： Antoine Blondeau , Adam Cheyer , Babak Hodjat , Peter Harrigan
IPC分类号： G06N3/08 , G06Q20/08
CPC分类号： G06F9/5066 , G06F2209/5017 , G06N3/126 , G06Q10/0633 , Y02D10/22 , Y02D10/36
摘要： The cost of performing sophisticated software-based financial trend and pattern analysis is significantly reduced by distributing the processing power required to carry out the analysis and computational task across a large number of networked individual or cluster of computing nodes. To achieve this, the computational task is divided into a number of sub tasks. Each sub task is then executed on one of a number of processing devices to generate a multitude of solutions. The solutions are subsequently combined to generate a result for the computational task. The individuals controlling the processing devices are compensated for use of their associated processing devices. The algorithms are optionally enabled to evolve over time. Thereafter, one or more of the evolved algorithms is selected in accordance with a predefined condition.
摘要翻译：通过分布大量联网的个人或计算节点集群来分析执行分析和计算任务所需的处理能力，大大降低了执行复杂的基于软件的财务趋势和模式分析的成本。为了实现这一点，计算任务分为若干个子任务。然后在多个处理设备中的一个上执行每个子任务以产生大量的解决方案。随后组合解决方案以产生用于计算任务的结果。控制处理装置的个人被补偿使用其相关的处理装置。随着时间的推移，这些算法可选地被启用。此后，根据预定条件选择一个或多个演进算法。

17. 发明申请

US20050125234A1 Shortcut names for use in a speech recognition system 失效
标题翻译：用于语音识别系统的快捷名称
公开(公告)号：US20050125234A1
公开(公告)日：2005-06-09
申请号：US10728600
申请日：2003-12-04
申请人： Norikazu Endo , Benjamin Reaves , Babak Hodjat , Kanae Ishii , Makoto Kurahashi , Masahiko Funaki
发明人： Norikazu Endo , Benjamin Reaves , Babak Hodjat , Kanae Ishii , Makoto Kurahashi , Masahiko Funaki
IPC分类号： G01C21/36 , G10L15/26 , G10L21/00
CPC分类号： G01C21/3608 , G10L15/26
摘要： Shortcut names corresponding to flagged locations or frequently stated destinations, phrases, or sentences are registered, maintained, used, and deregistered in a speech recognition system. If a flagged location or a frequently stated destination, phrase, or sentence is received by the speech recognition system, the user is prompted to provide a shortcut name corresponding to the frequently stated destination, phrase, or sentence in the form of speech, which is then recognized by speech recognition and registered to a personal profile of the user. The shortcut name is also added to a grammar database of the speech recognition system, so that the speech recognition system may recognize the shortcut name itself. The shortcut name may also be deleted, when speech received from a user contains a shortcut name but the user did not intend the shortcut name to mean the corresponding destination, phrase, or sentence.
摘要翻译：对应于标记位置或经常声明的目的地，短语或句子的快捷名称在语音识别系统中被注册，维护，使用和注销。如果由语音识别系统接收到标记位置或经常声明的目的地，短语或句子，则提示用户提供与语音形式的频繁指定的目的地，短语或句子相对应的快捷名称，其为然后通过语音识别识别并注册到用户的个人资料。快捷方式名称也被添加到语音识别系统的语法数据库中，使得语音识别系统可以识别快捷名称本身。快捷方式名称也可以被删除，当从用户接收的语音包含快捷方式名称，但是用户没有想要快捷方式名称来表示对应的目的地，短语或句子。

18. 发明授权

US08909570B1 Data mining technique with experience-layered gene pool 有权
标题翻译：数据挖掘技术与经验分层的基因库
公开(公告)号：US08909570B1
公开(公告)日：2014-12-09
申请号：US13184307
申请日：2011-07-15
申请人： Babak Hodjat , Hormoz Shahrzad , Greg S. Hornby
发明人： Babak Hodjat , Hormoz Shahrzad , Greg S. Hornby
IPC分类号： G06N3/12
CPC分类号： G06F17/30539 , G06N3/126 , G06N99/005
摘要： Roughly described, a computer-implemented evolutionary data mining system includes a memory storing a candidate gene database in which each candidate individual has a respective fitness estimate; a gene pool processor which tests individuals from the candidate gene pool on training data and updates the fitness estimate associated with the individuals in dependence upon the tests; and a gene harvesting module providing for deployment selected ones of the individuals from the gene pool, wherein the gene pool processor includes a competition module which selects individuals for discarding from the gene pool in dependence upon both their updated fitness estimate and their testing experience level. Preferably the gene database has an elitist pool containing multiple experience layers, and the competition module causes individuals to compete only with other individuals in their same experience layer.
摘要翻译：大致描述，计算机实现的进化数据挖掘系统包括存储候选基因数据库的存储器，其中每个候选个体具有相应的适合度估计; 一个基因池处理器，用于对候选基因库中的个体进行训练数据的测试，并根据测试更新与个体相关的适应性估计; 以及基因收集模块，用于从所述基因库中部署选定的个体，其中所述基因库处理器包括竞争模块，所述竞争模块根据其更新的适应度估计和其测试经验水平从所述基因库中选择要丢弃的个体。优选地，基因数据库具有包含多个经验层的精英池，并且竞赛模块使个人仅与其相同经验层中的其他个体进行竞争。

19. 发明申请

US20100274742A1 DISTRIBUTED EVOLUTIONARY ALGORITHM FOR ASSET MANAGEMENT AND TRADING 有权
标题翻译：资产管理和交易的分布式演化算法
公开(公告)号：US20100274742A1
公开(公告)日：2010-10-28
申请号：US12769589
申请日：2010-04-28
申请人： Babak Hodjat , Hormoz Shahrzad
发明人： Babak Hodjat , Hormoz Shahrzad
IPC分类号： G06N3/12
CPC分类号： G06N3/086 , G06N3/12 , G06N3/126 , G06N99/005 , G06Q30/02
摘要： A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application running on the client computers. Each client computer continues to periodically receive data associated with the genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options, and the data associated with the genes may be historical trading data.
摘要翻译：服务器计算机和多个客户端计算机构成网络计算系统，其可扩展并且适于继续评估使用在客户端计算机上运行的软件应用程序生成的许多基因的性能特征。每个客户端计算机继续周期性地接收与存储在其存储器中的基因相关联的数据。使用这些数据，客户端计算机通过将基因提供的解决方案与与该基因相关联的定期接收的数据进行比较来评估其基因的性能特征。因此，可以利用每个周期性接收的数据来更新和变化每个基因的性能特征。基因的表现特征定义其适应性。这些基因可能是推荐交易期权的虚拟资产交易者，与基因相关的数据可能是历史交易数据。

20. 发明申请

US20090125370A1 DISTRIBUTED NETWORK FOR PERFORMING COMPLEX ALGORITHMS 审中-公开
标题翻译：用于执行复杂算法的分布式网络
公开(公告)号：US20090125370A1
公开(公告)日：2009-05-14
申请号：US12267287
申请日：2008-11-07
申请人： Antoine Blondeau , Adam Cheyer , Babak Hodjat , Peter Harrigan
发明人： Antoine Blondeau , Adam Cheyer , Babak Hodjat , Peter Harrigan
IPC分类号： G06Q10/00 , G06F15/18
CPC分类号： G06F9/5066 , G06F2209/5017 , G06N3/126 , G06Q10/0633 , Y02D10/22 , Y02D10/36
摘要： The cost of performing sophisticated software-based financial trend and pattern analysis is significantly reduced by distributing the processing power required to carry out the analysis and computational task across a large number of networked individual or cluster of computing nodes. To achieve this, the computational task is divided into a number of sub tasks. Each sub task is then executed on one of a number of processing devices to generate a multitude of solutions. The solutions are subsequently combined to generate a result for the computational task. The individuals controlling the processing devices are compensated for use of their associated processing devices. The algorithms are optionally enabled to evolve over time. Thereafter, one or more of the evolved algorithms is selected in accordance with a predefined condition.
摘要翻译：通过分布大量联网的个人或计算节点集群来分析执行分析和计算任务所需的处理能力，大大降低了执行复杂的基于软件的财务趋势和模式分析的成本。为了实现这一点，计算任务分为若干个子任务。然后在多个处理设备中的一个上执行每个子任务以产生大量的解决方案。随后组合解决方案以产生计算任务的结果。控制处理装置的个人被补偿使用其相关的处理装置。随着时间的推移，这些算法可选地被启用。此后，根据预定条件选择一个或多个演进算法。

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