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1. 发明授权

US09471885B1 Predictor-corrector method for knowledge amplification by structured expert randomization 有权
标题翻译：通过结构化专家随机化进行知识扩增的预测器校正方法
公开(公告)号：US09471885B1
公开(公告)日：2016-10-18
申请号：US14311486
申请日：2014-06-23
申请人： The United States of America as represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N5/025 , G06F9/50 , G06N5/048
摘要： A method involves using a predictor rule base and a corrector rule base to map an acquired context to a rule when the context may not be completely covered by a rule. All involved rules may be non-deterministic. Non-deterministic predictor consequents provide the context for the corrector rule base, while the associated consequent is the correct action to be taken. A minimal of predicates is deleted from every rule in the predictor or corrector base to obtain a contextual covering of at least one rule in the predictor or corrector base. Each produced action may be associated with a possibility metric, which is inversely proportional to the maximum percentage of deleted antecedent predicates produced in matching any single rule in the predictor and corrector bases. The generalized matching capability allows systems to be arranged in a networked system of systems where each system is a domain-specific knowledgebase segment.
摘要翻译：一种方法涉及当上下文可能不被规则完全覆盖时，使用预测器规则库和校正器规则库将所获取的上下文映射到规则。所有涉及的规则可能是非确定性的。非确定性预测因素为校正器规则库提供了上下文，而相关联的结果是正确的操作。从预测器或校正器基中的每个规则中删除最小的谓词，以获得预测器或校正器基础中的至少一个规则的上下文覆盖。每个产生的动作可以与可能性度量相关联，该度量与在预测器和校正器基准中匹配任何单个规则时产生的删除的先行谓词的最大百分比成反比。广义匹配功能允许将系统安排在系统的网络系统中，其中每个系统是特定于领域的知识库部分。

2. 发明授权

US09436912B1 Symmetric schema instantiation method for use in a case-based reasoning system 有权
标题翻译：用于基于案例的推理系统的对称模式实例化方法
公开(公告)号：US09436912B1
公开(公告)日：2016-09-06
申请号：US14058925
申请日：2013-10-21
申请人： The United States of America as represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06N5/02 , G06N5/022
摘要： A method involves providing a parent schema, generating a plurality of distinct and domain-specific instantiations of the parent schema, user-validating at least two of the instantiations of the parent schema, and creating a symmetric schema by combining the user-validated instantiations of the parent schema. The parent schema and the instantiations of the parent schema may be user-provided or iteratively generated. The parent schema contains more than one tractable search spaces. Prior to user-validating the instantiations of the parent schema, they may be optimized using domain-specific knowledge. Additionally, one or more existing Boolean features in one or more cases of a case-based reasoning system may be replaced with the instantiations of the parent schema and non-zero weights for the cases may evolve that include the instantiations of the parent schema. The method may also include generating instantiations of the created symmetric schema.
摘要翻译：一种方法包括提供父模式，生成父模式的多个不同的和域特定的实例化，用户验证父模式的至少两个实例化，以及通过组合用户验证的实例化来创建对称模式父模式。父模式和父模式的实例可以是用户提供的或迭代生成的。父模式包含多个易处理的搜索空间。在用户验证父模式的实例之前，可以使用特定于领域的知识优化它们。另外，基于案例的推理系统的一个或多个情况下的一个或多个现有的布尔特征可以被父模式的实例化所替代，并且对于这些情况的非零权重可以演化，包括父模式的实例化。该方法还可以包括生成所创建的对称模式的实例。

3. 发明授权

US09330358B1 Case-based reasoning system using normalized weight vectors 有权
标题翻译：基于案例的推理系统使用归一化权重向量
公开(公告)号：US09330358B1
公开(公告)日：2016-05-03
申请号：US14037640
申请日：2013-09-26
申请人： The United States of America as represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06F17/00 , G06N5/04
CPC分类号： G06N5/04 , G06N5/022
摘要： A system and method include comparing a context to cases stored in a case base, where the cases include Boolean and non-Boolean independent weight variables and a domain-specific dependency variable. The case and context independent weight variables are normalized and a normalized weight vector is determined for the case base. A match between the received context and each case of the case base is determined using the normalized context and case variables and the normalized weight vector. A skew value is determined for each category of domain specific dependency variables and the category of domain specific dependency variables having the minimal skew value is selected. The dependency variable associated with the selected category is then displayed to a user.
摘要翻译：系统和方法包括将上下文与存储在案例库中的案例进行比较，其中案例包括布尔和非布尔独立权重变量以及特定于域的依赖变量。对情况和上下文无关权重变量进行归一化，并为案例库确定归一化权重向量。使用归一化上下文和病例变量以及归一化权重向量来确定接收到的上下文与病例库的每种情况之间的匹配。针对每个类别的域特定依赖变量确定偏差值，并且选择具有最小偏差值的域特定依赖变量类别。然后将与所选类别相关联的依赖变量显示给用户。

4. 发明授权

US10719661B2 Method, device, and system for computer-based cyber-secure natural language learning 有权
公开(公告)号：US10719661B2
公开(公告)日：2020-07-21
申请号：US15981747
申请日：2018-05-16
申请人： THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY
发明人： Stuart H. Rubin
IPC分类号： G06F17/27 , G06F17/21 , G06F40/30 , G06F16/84 , G06F16/31 , G06F40/40
摘要： A computing device learns a natural language. A mapper included in the computing device non-deterministically maps an input natural language sentential form to a matching semantic that is associated with a computer language function component. A translator included in the computing device translates the matching semantic into a translated natural language sentential form.

5. 发明申请

US20190354587A1 METHOD, DEVICE, AND SYSTEM FOR COMPUTER-BASED CYBER-SECURE NATURAL LANGUAGE LEARNING 审中-公开
公开(公告)号：US20190354587A1
公开(公告)日：2019-11-21
申请号：US15981747
申请日：2018-05-16
申请人： The United States of America as Represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06F17/27 , G06F17/28 , G06F17/30
摘要： A computing device learns a natural language. A mapper included in the computing device non-deterministically maps an input natural language sentential form to a matching semantic that is associated with a computer language function component. A translator included in the computing device translates the matching semantic into a translated natural language sentential form.

6. 发明授权

US10217023B1 Image recognition system using a programmable photonic neural network 有权
公开(公告)号：US10217023B1
公开(公告)日：2019-02-26
申请号：US15622463
申请日：2017-06-14
申请人： THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY
发明人： Stuart H. Rubin
IPC分类号： G06K9/62 , G06N3/067 , G06N3/04
摘要： A system uses arrays of spatial light modulators (SLMs) connected to a processor and an image capture device. An image is input into a first array of SLMs. The processor determines if the output of the first array matches an image stored within a database. If a match is found, the processor outputs a stored image to an image processing system. If a match is not found the processor directs the output from the first array into an input of an array of SLMs adjacent to the first array. The determination step is iteratively performed for the remaining arrays of SLMs until a match is found or no arrays remain. If no arrays remain, the processor selects a stored image from the database and obtains user feedback from a user input system. The feedback is then stored in the database and associated with the n−1 array of SLMs.

7. 发明授权

US09299025B1 Case-based reasoning system using case generalization method 有权
标题翻译：基于案例推理的案例泛化方法
公开(公告)号：US09299025B1
公开(公告)日：2016-03-29
申请号：US13734669
申请日：2013-01-04
申请人： The United States of America as represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06N5/02 , G06N5/025
摘要： A method includes comparing a user-specified context having natural language contextual antecedents to cases stored in a case base. Each stored case includes case antecedents and case consequents. A matching case exists and is selected if the case antecedents exactly match the contextual antecedents. If no match exists, a best-matching case is determined and selected. The best-matching case may be determined by generalizing the situational part of a rule and comparing the user-specified context to the stored (generalized) cases. The best-matching case is the case having the highest ratio of matching generalized case antecedents to contextual antecedents and having a matching error ratio that does not exceed an error ratio threshold. The case consequents of the selected matching case or best matching case are then displayed to a user, with case base adjustment performed based upon feedback provided by the user in response to the displayed case consequents.
摘要翻译：一种方法包括将具有自然语言上下文前提的用户指定上下文与存储在案例库中的案例进行比较。每个存储的案例包括案件前提和案件结果。匹配的案例存在，如果案件前提与上下文前提完全匹配，则会选择匹配的案例。如果不存在匹配，则确定并选择最佳匹配的情况。最佳匹配的情况可以通过概括规则的情境部分并将用户指定的上下文与存储的（广义的）情况进行比较来确定。最匹配的情况是匹配广义案例前提与上下文前提的比例最高，并具有不超过错误率阈值的匹配错误率。然后将所选择的匹配情况或最佳匹配情况的情况显示给用户，基于由用户响应于所显示的案例结果提供的反馈执行病例库基准调整。

8. 发明申请

US20210027174A1 RANDOMIZATION OF CASE-BASED KNOWLEDGE TO RULE-BASED KNOWLEDGE 有权
公开(公告)号：US20210027174A1
公开(公告)日：2021-01-28
申请号：US16523026
申请日：2019-07-26
申请人： The United States of America as represented by the Secretary of the Navy
发明人： Stuart H. Rubin
IPC分类号： G06N5/02
摘要： Case-based information is randomized to rule-based information by accessing a case base to obtain a plurality of sets of variables representing case-based input/output constraints associated with corresponding cases. A matching is initiated, of a candidate case with one or more contexts of items included in a knowledge repository storing a plurality of cases and a plurality of rules that are organized in segments according to a plurality of domains and are comingled. At least one of the cases of the plurality of cases is generalized.

9. 发明授权

US10628440B1 Randomization via dynamic representation and informed search 有权
公开(公告)号：US10628440B1
公开(公告)日：2020-04-21
申请号：US15214763
申请日：2016-07-20
申请人： THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY
发明人： Stuart H. Rubin
IPC分类号： G06F16/30 , G06F16/25 , G06N7/00 , G06F16/26
CPC分类号： G06F16/258 , G06F16/26 , G06N7/005
摘要： A method involves providing an information base comprising a plurality of domain-specific segments, each segment comprising a case base having cases therein and a transform base having transforms therein. Each case comprises a case antecedent and a case consequent. One or more cases are associated with one or more of transforms within the respective segment. A contextual situation falling within one of the domain-specific segments is then received and it is determined that the received contextual situation does not match the case antecedent of any of the cases within the particular domain-specific segment. One or more transforms are applied to one or more cases within the segment to create a transformed case. The transformed case has a case antecedent that matches the contextual situation and a case consequent. The case consequent of the transformed case is displayed to a user and the transformed case is stored in the case base.

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