公开(公告)号：US20080243741A1

公开(公告)日：2008-10-02

申请号：US12136670

申请日：2008-06-10

申请人： THOMAS A. VISEL ,  LUKAS K. WOMACK ,  GENE P. HAMILTON

发明人： THOMAS A. VISEL ,  LUKAS K. WOMACK ,  GENE P. HAMILTON

IPC分类号： G06F15/18

CPC分类号： G06N3/02

摘要： A method for defining a network of nodes is provided, each representing a unique concept, and making connections between individual concepts through unique relationships to other concepts. Each of the nodes is operable to store a unique identifier in the network and information regarding the concept in addition to the unique relationships.

摘要翻译： 提供了一种用于定义节点网络的方法，每个节点都代表一个独特的概念，并通过与其他概念的独特关系来建立个体概念之间的连接。 每个节点可操作以在网络中存储唯一的标识符，以及除了独特关系之外关于概念的信息。

公开(公告)号：US08001067B2

公开(公告)日：2011-08-16

申请号：US11697721

申请日：2007-04-07

申请人： Thomas A. Visel ,  Vijay Divar ,  Lukas K. Womack ,  Matthew Fettig ,  Gene P. Hamilton

发明人： Thomas A. Visel ,  Vijay Divar ,  Lukas K. Womack ,  Matthew Fettig ,  Gene P. Hamilton

IPC分类号： G05B13/02

CPC分类号： G06N3/10

摘要： A method for emulating human behavior and actions in an expert mode to control and execute a defined task. The first step is to define a task based application having a task associated therewith that is operable to receive goals and conditions and which goals define the desired results to be achieved when the task is performed. A brain emulation is represented by a plurality of nodes each representing a concept, and interconnecting relationships between select ones of the concepts, which brain emulation is operable to receive information from the task based application and process such information and capable controlling the task based application with the outcome of such processing to achieve the goal of the task based application. The brain emulation receives information either directly from a external source or from the task based application as to the state of the task based application and processes the received information based on the existing interconnecting relationships to initiate the task associated with the task based application and attempt to achieve the goal associated with the task based application.

摘要翻译： 用于以专家模式模拟人类行为和行为以控制和执行定义的任务的方法。 第一步是定义具有与其相关联的任务的基于任务的应用，其可操作以接收目标和条件，以及哪些目标定义了当执行任务时要实现的期望结果。 大脑仿真由多个节点表示，每个节点表示一个概念，并且互连了选择的概念之间的关系，大脑仿真可操作以从基于任务的应用接收信息并处理这样的信息，并且能够以 这种处理的结果实现了基于任务的应用的目标。 大脑仿真直接从外部源或基于任务的应用程序接收关于基于任务的应用的状态的信息，并且基于现有的互连关系处理接收到的信息，以启动与基于任务的应用相关联的任务，并尝试 实现与基于任务的应用程序相关的目标。

公开(公告)号：US20080228467A1

公开(公告)日：2008-09-18

申请号：US12101904

申请日：2008-04-11

申请人： Lukas K. WOMACK ,  Thomas A. VISEL ,  Matthew FETTIG ,  Hannah LINDSLEY ,  Micah LEDBETTER

发明人： Lukas K. WOMACK ,  Thomas A. VISEL ,  Matthew FETTIG ,  Hannah LINDSLEY ,  Micah LEDBETTER

IPC分类号： G06F17/27

CPC分类号： G06F17/2705 ,  G06F17/271 ,  G06F17/2785 ,  G06F17/28

摘要： A method for parsing the flow of natural human language to convert a flow of machine recognizable language into a conceptual flow includes, first, recognizing the lexical structure and then, a basic semantic grouping is determined for the language flow in the lexical structure. The basic semantic grouping is then determined that denotes the main action, occurrence or state of being for the language flow. The responsibility of the main action, occurrence or state of being for the language flow is then determined within the lexical structure followed by semantically parsing the lexical structure. Thereafter, any ambiguities in the responsibilities are resolved in a recursive manner by applying a predetermined set of rules thereto.

摘要翻译： 用于解析自然人类语言的流程以将机器可识别语言流转换成概念流的方法包括首先识别词汇结构，然后为词汇结构中的语言流确定基本语义分组。 然后确定基本语义分组，其表示语言流的主要动作，出现或状态。 然后在词汇结构中确定主要动作，语言流程的发生或状态的责任，然后在语义上解析词汇结构。 此后，通过对其规定的一组规则来递归地解决责任中的任何歧义。

公开(公告)号：US08725493B2

公开(公告)日：2014-05-13

申请号：US12101904

申请日：2008-04-11

申请人： Lukas K. Womack ,  Thomas A. Visel ,  Matthew Fettig ,  Hannah Lindsley ,  Micah Ledbetter

发明人： Lukas K. Womack ,  Thomas A. Visel ,  Matthew Fettig ,  Hannah Lindsley ,  Micah Ledbetter

IPC分类号： G06F17/27

CPC分类号： G06F17/2705 ,  G06F17/271 ,  G06F17/2785 ,  G06F17/28

摘要： A method for parsing the flow of natural human language to convert a flow of machine recognizable language into a conceptual flow includes, first, recognizing the lexical structure and then, a basic semantic grouping is determined for the language flow in the lexical structure. The basic semantic grouping is then determined that denotes the main action, occurrence or state of being for the language flow. The responsibility of the main action, occurrence or state of being for the language flow is then determined within the lexical structure followed by semantically parsing the lexical structure. Thereafter, any ambiguities in the responsibilities are resolved in a recursive manner by applying a predetermined set of rules thereto.

摘要翻译： 用于解析自然人类语言的流程以将机器可识别语言流转换成概念流的方法包括首先识别词汇结构，然后为词汇结构中的语言流确定基本语义分组。 然后确定基本语义分组，其表示语言流的主要动作，出现或状态。 然后在词汇结构中确定主要动作，语言流程的发生或状态的责任，然后在语义上解析词汇结构。 此后，通过对其规定的一组规则来递归地解决责任中的任何歧义。