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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 10810371 B1

PDFFull Text
Date of Patent:
Oct. 20, 2020

Filed:

Apr. 05, 2018

Adaptive, interactive, and cognitive reasoner of an autonomous robotic system

Applicant:

Aibrain Corporation, Seoul, KR;

Inventors:

Hong Shik Shinn, Seoul, KR;

Eunmi Hong, Seoul, KR;

Byoung-Kwon Lim, Seoul, KR;

Cheongan Lee, Seoul, KR;

Assignee:

AIBrain Corporation, , KR;

Attorney:

Van Pelt, Yi & James LLP

Primary Examiner:

Daniel C Washburn

Assistant Examiner:

Oluwadamilola M Ogunbiyi

Int. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06F 40/211 (2020.01); G06F 40/247 (2020.01); G06F 40/289 (2020.01); G06N 5/04 (2006.01); G06N 3/04 (2006.01); G06N 3/00 (2006.01); G06N 5/02 (2006.01); G06N 3/08 (2006.01); G06F 16/901 (2019.01); B25J 9/16 (2006.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); B25J 9/1658 (2013.01); B25J 9/1694 (2013.01); G06F 16/9024 (2019.01); G06F 40/211 (2020.01); G06F 40/247 (2020.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06N 3/008 (2013.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/041 (2013.01);
Abstract

An artificial intelligence problem is solved using an artificial intelligence memory graph data structure and a lexical database to identify supporting knowledge. A natural language input is received and classified into components. A starting node of an artificial intelligence memory graph data structure, which comprises one or more data nodes, is selected to begin a search for one or more supporting knowledge data nodes associated with the classified components. Starting at the starting node, the artificial intelligence memory graph data structure is searched using a lexical database to identify the one or more supporting knowledge data nodes. An artificial intelligence problem is identified and solved using the one or more identified supporting knowledge data nodes of the artificial intelligence memory graph data structure.

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