Entigenlogic LLC

Other

Sbs, Incorporated

Iqintell, Inc.

Frank John Williams

Gary W Grube

Andrew Chu

Jessy Thomas

Karl Olaf Knutson

David Michael Corns, Ii

David Ralph Lazzara

Stephen Emerson Sundberg

Dennis Arlen Roberson

Thomas James MacTavish

Ameeta Vasant Reed

Theodore Mazurkiewicz

Niklas Josiah MacTavish

Stephen Chen

Donald Joseph Wurzel

Ali Fattahian

Kyle Edward Alberth

Ahmad Abdelqader Abunaser

Zachary John McCord

Paige Kristen Thompson

Eric Andrew Faurie

Bannion Frank Allen

Thomas Franklin Shirley, Jr

Walter Edward Williams

Crystal Williams

Gregory William Cox

Neil O'Driscoll

A method includes determining a set of identigens for words of content to produce a sets of identigens and interpreting the sets of identigens to determine a most likely meaning interpretation of the content and produce a baseline entigen group. The method further includes recovering an incomplete entigen group for the topic from a first knowledge database based on a knowledge defect of the incomplete entigen group with regards to the topic. The method further includes obtaining an additive entigen group from a second knowledge database based on the knowledge defect and modifying the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group to provide a beneficial cure for the knowledge defect of the incomplete entigen group.

Creating a superset of knowledge

A method executed by a computing device includes determining a set of identigens for each query word of a query to produce a plurality of sets of identigens. The method further includes interpreting, based on identigen pairing rules of a knowledge database, pairs of sequentially adjacent identigens of adjacent sets of identigens of the plurality of sets of identigens to determine a most likely meaning interpretation of the query and produce a query entigen group. The method further includes identifying a set of entigen variations associated with the query entigen group utilizing the knowledge database to produce an expanded query entigen group. The method further includes obtaining knowledge associated with the first entigen variation of the set of entigen variations.

Utilizing meaning to find a document

A method performed by a computing device includes determining a set of identigens for each word of words of a product-service query to produce sets of identigens. The method further includes interpreting, using identigen pairing rules of a knowledge database, the sets of identigens to determine a most likely meaning interpretation of the product-service query and produce a query entigen group that includes query entigens. The method further includes identifying one or more characteristic entigen categories for a subjective category entigen of the query entigen group. The method further includes recovering a set of response entigens for the product-service query from the knowledge database utilizing the query entigen group and based on the one or more characteristic entigen categories. The set of response entigens provides an answer for the product-service query.

Generating a product-service query response utilizing a knowledge database

A method executed by a computing device includes determining a set of identigens for a phrase to produce sets of identigens. A set of identigens of the sets of identigens represents one or more different meanings of a word of the phrase. The method further includes interpreting, based on identigen pairing rules of a knowledge database, pairs of sequentially adjacent identigens of adjacent sets of identigens of the sets of identigens to determine a first most likely meaning interpretation of the phrase and produce a first phrase entigen group of phrase entigen groups. The method further includes identifying an inconsistency between at least two phrase entigen groups of the phrase entigen groups and obtaining an inconsistency clarification based on the inconsistency. The method further includes selecting one phrase entigen group of the phrase entigen groups based on the inconsistency clarification to produce a final phrase entigen group.

Determination of meaning of a phrase with ambiguity resolution

A method performed by a computing device includes determining a set of identigens for each word of a query of a topic to produce sets of identigens. Each set of identigens represents one or more different meanings of a word of the query. The method further includes interpreting, using identigen pairing rules, the sets of identigens to determine a most likely meaning interpretation of the query and produce an excluding query entigen group with an excluding entigen. The method further includes recovering a response entigen group for the query from a knowledge database utilizing the excluding query entigen group. The response entigen group provides a response to the query.

Image processing utilizing an entigen construct

A method executed by a computing device includes determining a set of identigens for each query word of a query to produce sets of identigens, where a set of identigens represents different meanings of a word of the query. The method further includes interpreting the sets of identigens to produce a query entigen group. The method further includes accessing a knowledge database utilizing the query entigen group to recover a preliminary response entigen group. The method further includes modifying an answer breadth level based on a response to the preliminary response entigen group to produce an updated answer breadth level. The method further includes accessing the knowledge database utilizing the query entigen group to recover a secondary response entigen group the updated answer breadth level.

Determining a response to a query

A method executed by a computing device includes determining a set of identigens for each word of a query to produce sets of identigens, where a set of identigens represents different meanings of a word of the query. The method further includes interpreting, using identigen pairing rules, the sets of identigens to produce a query entigen group that represents a most likely meaning interpretation of the query. The method further includes identifying common associated entigens of a knowledge database utilizing the query entigen group. The method further includes selecting a first common associated entigen of the common associated entigens utilizing the query entigen group and generating a response entigen group based on the first common associated entigen and the query entigen group. The method further includes generating a response to the query utilizing the response entigen group, where the response includes at least one response word.

Accessing a knowledge database

A method performed by a computing device includes obtaining impaired content for a topic that includes a series of words, and determining a set of identigens for each word of the series of words to produce sets of identigens. The method further includes interpreting, using identigen pairing rules of a knowledge database, the sets of identigens to determine a most likely meaning interpretation of the impaired content and produce an interim entigen group. The method further includes recovering an improved entigen group for the topic from the knowledge database utilizing the interim entigen group and based on a knowledge defect of the interim entigen group caused by an impairment of the impaired content.

Curing impaired content utilizing a knowledge database of entigens

A method for execution by a computing device includes identifying sets of identigens for words of a phrase. The method further includes selecting, based on identigen pairing rules of a knowledge database, a first identigen of a first set of identigens for a first word that pairs with at least one corresponding sequentially adjacent identigen of a second set of identigens. The method further includes selecting the first identigen of the first set of identigens as a subsequent identigen corresponding to a subsequent occurrence of the first word within the sequence of words. The method further includes interpreting, in accordance with the identigen pairing rules and based on the first identigen selection for the subsequent occurrence of the first word, the sets of identigens to produce an entigen group that represents a most likely meaning interpretation of the phrase.

Interpreting meaning of content

A method includes determining a set of identigens for each word of at least some words of a string of words of a query to produce a plurality of sets of identigens. The method further includes interpreting, based on a first knowledge database, the plurality of sets of identigens to produce a first entigen group and generating a first preliminary query response based on the first entigen group. The method further includes interpreting, based on a second knowledge database, the plurality of sets of identigens to produce a second entigen group and generating a second preliminary query response based on the second entigen group. The method further includes comparing the first and second preliminary query responses and when the first preliminary query response and the second preliminary query response are divergent, resolving inconsistencies between the first and second preliminary query responses to produce a final query response.

Utilizing multiple knowledge bases to form a query response

A method includes detecting an incomplete entigen group within a knowledge database. The incomplete entigen group includes entigens and one or more entigen relationships between at least some of the entigens. The incomplete entigen group represents knowledge of a topic. The method further includes obtaining additive content for the topic based on the incomplete entigen group and generating an additive entigen group based on the additive content. The method further includes updating the incomplete entigen group utilizing the additive entigen group to produce an updated entigen group. The method further includes indicating that the updated entigen group has an un-curated status when the additive entigen group conflicts with the incomplete entigen group.

Curating knowledge of a knowledge database

A method executed by a computing device includes determining a set of identigens for each phrase word of a phrase to produce sets of identigens. A set of identigens of the sets of identigens represents one or more different meanings of a phrase word of the phrase. The method further includes obtaining sensor information for one or more phrase words of the phrase. The method further includes selecting an identigen of a first set of identigens based on the sensor information to produce a first identigen selection for the first set of identigens having a selected meaning of one or more different meanings of the first phrase word. The method further includes interpreting remaining sets of identigens of the sets of identigens to produce an entigen group so that the entigen group represents a most likely meaning interpretation of the phrase.

Utilizing sensor information to select a meaning of a word of a phrase

A method performed by a computing device includes determining a set of identigens for each word of words of a subjective query to produce sets of identigens. The method further includes interpreting, using identigen pairing rules of a knowledge database, the sets of identigens to determine a most likely meaning interpretation of the subjective query and produce a query entigen group that includes query entigens. The method further includes identifying one or more characteristic entigen categories for a subjective category entigen of the query entigen group. The method further includes recovering a set of response entigens for the subjective query from the knowledge database utilizing the query entigen group and based on the one or more characteristic entigen categories. The set of response entigens provides an answer for the subjective query.

Generating a subjective query response utilizing a knowledge database

A method executed by a computing device includes determining whether a set of words are included in a word set. When the set of words are in the word set, the method further includes determining a set of identigens for each word of the word set to produce sets of identigens, where a set of identigens of the sets of identigens represents one or more different meanings of a word of the word set. The method further includes interpreting, using identigen pairing rules, the sets of identigens to produce an entigen set. The method further includes assigning a single new entigen to represent the entigen set, where the single new entigen represents a most likely meaning interpretation of the word set.

Assigning a single new entigen to a word set

A method executed by a computing device includes determining to update an entigen group within a knowledge database, where the entigen group includes a set of linked entigens that represent knowledge associated with an object. The method further includes determining a set of identigens for each word of a phrase associated with the object to produce sets of identigens. The method further includes interpreting the sets of identigens to determine a most likely meaning interpretation of the phrase and produce a new entigen group. The method further includes updating the entigen group utilizing the new entigen group to produce a curated entigen group such that a deficiency of the entigen group is resolved providing more accurate and more complete knowledge of the object.

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Rossmoor, CA, United States of America

Frank John Williams