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1. 发明授权

US4982340A Plural processor inferencing system and method 失效
标题翻译：多处理器参考系统和方法
公开(公告)号：US4982340A
公开(公告)日：1991-01-01
申请号：US212490
申请日：1988-06-28
申请人： Shigeru Oyanagi , Sumikazu Fujita , Sadao Nakamura , Takashi Suzuoka
发明人： Shigeru Oyanagi , Sumikazu Fujita , Sadao Nakamura , Takashi Suzuoka
IPC分类号： G06F9/44 , G06N5/04
CPC分类号： G06N5/047 , G06F8/45
摘要： An inference processing system comprises a plurality of processors assigned for nodes of a semantic network respectively to carry out parallel processing. Each of the processors stores tables and linking information. The tables are made by arranging rules and prepared for goals respectively. Each table contains the names of links to follow when a certain goal is given and markers for specifying the kinds of the links. In the table, the link names and markers are set as outputs with respect to the given goal as an input. The linking information contains information of links connected to a node for which a corresponding one of the processors is assigned. When the goal and a marker are inputted to any one of the processors, the processor finds an output marker and output links in the tables and linking information and outputs the output marker to the output links, thus achieving an inference process.
摘要翻译：推理处理系统包括分配给语义网络的节点的多个处理器，以执行并行处理。每个处理器存储表和链接信息。这些表分别是通过安排规则和为目标做好准备的。每个表包含指定某个目标时要遵循的链接的名称以及用于指定链接种类的标记。在表中，将链接名称和标记设置为相对于给定目标的输出作为输入。链接信息包含连接到分配有对应的一个处理器的节点的链接的信息。当目标和标记被输入到任何一个处理器时，处理器找到输出标记并输出表中的链接和链接信息，并将输出标记输出到输出链接，从而实现推理过程。

2. 发明授权

US5095522A Object-oriented parallel processing system, including concept objects and instance objects for messages exchanging between objects 失效
标题翻译：面向对象的并行处理系统，包括用于对象之间交换的消息的概念对象和实例对象
公开(公告)号：US5095522A
公开(公告)日：1992-03-10
申请号：US213115
申请日：1988-06-28
申请人： Sumikazu Fujita , Shigeru Oyanagi , Takashi Suzuoka , Sadao Nakamura
发明人： Sumikazu Fujita , Shigeru Oyanagi , Takashi Suzuoka , Sadao Nakamura
IPC分类号： G06F9/44 , G06F9/46
CPC分类号： G06F9/465
摘要： An object-oriented system comprises concept and instance objects allocated to a plurality of processors to form a network. Each of the processors comprises a transmission-reception portion for transmitting and receiving messages, an object control portion for managing concept and instance objects, an inheritance retrieval portion for recording and retrieving information inherited from upper concept objects, a message pattern retrieval portion for retrieving message patterns, a message procedure storage portion for storing procedures corresponding to the message patterns, and an instance object storage portion for storing instance variables that hold internal states of the instance objects.
摘要翻译：面向对象的系统包括分配给多个处理器以形成网络的概念和实例对象。每个处理器包括用于发送和接收消息的发送 - 接收部分，用于管理概念和实例对象的对象控制部分，用于记录和检索从上层概念对象继承的信息的继承检索部分，用于检索消息的消息模式检索部分模式，用于存储对应于消息模式的过程的消息过程存储部分，以及用于存储保存实例对象的内部状态的实例变量的实例对象存储部分。

3. 发明授权

US4815005A Semantic network machine for artificial intelligence computer 失效
标题翻译：人工智能计算机语义网络机
公开(公告)号：US4815005A
公开(公告)日：1989-03-21
申请号：US122446
申请日：1987-11-19
申请人： Shigeru Oyanagi , Sumikazu Fujita , Sadao Nakamura
发明人： Shigeru Oyanagi , Sumikazu Fujita , Sadao Nakamura
IPC分类号： G06F12/00 , G06F9/44 , G06F17/30 , G06N5/02 , G06N5/04 , G06F15/18
CPC分类号： G06N5/02
摘要： A semantic network machine is applied to an artificial intelligence computer for performing inferential retrieval with respect to a knowledge base. A main associative memory stores the knowledge base consisting of knowledge data arranged to form a semantic network. Each knowledge data consists of a set of an object, an attribute, and a value. A sub associative memory is connected in parallel with the main memory and stores specific knowledge data including "is-a" attributes of the knowledge data. In an inferential retrieval mode, when a question associated with a given object is input, an initial retrieval condition for retrieving, from the knowledge base, knowledge data necessary for answering the question is defined. While the main memory is accessed using the initial retrieval condition, the sub memory is also accessed simultaneously to read out data representing another object concept associated with the object concept included in the question by the "is-a" attribute from the sub memory in a parallel manner. The readout data is temporarily stored in a buffer memory. When retrieval in the main memory fails, the initial retrieval condition is updated using the data stored in the buffer memory to generate a secondary initial retrieval condition supplied to the main memory, which is then successively accessed using the updated condition.
摘要翻译：将语义网络机器应用于人造智能计算机，以便相对于知识库进行推理检索。主要关联存储器存储由布置成形成语义网络的知识数据组成的知识库。每个知识数据由一组对象，一个属性和一个值组成。子关联存储器与主存储器并行连接，并存储包括知识数据的“is-a”属性的特定知识数据。在推理检索模式中，当输入与给定对象相关联的问题时，定义从知识库检索用于回答问题所需的知识数据的初始检索条件。虽然使用初始检索条件访问主存储器，但是也可以同时访问子存储器，以从a存储器中的“is-a”属性读出表示与包含在问题中的对象概念相关联的另一对象概念的数据并行方式读出的数据被临时存储在缓冲存储器中。当在主存储器中的检索失败时，使用存储在缓冲存储器中的数据来更新初始检索条件，以产生提供给主存储器的辅助初始检索条件，然后使用更新的条件连续访问。

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