Entigenlogic LLC

David Ralph Lazzara

Frank John Williams

Andrew Chu

Gary W Grube

Jessy Thomas

Karl Olaf Knutson

David Michael Corns, Ii

Stephen Emerson Sundberg

Theodore Mazurkiewicz

Dennis Arlen Roberson

Stephen Chen

Thomas James MacTavish

Ameeta Vasant Reed

Donald Joseph Wurzel

Niklas Josiah MacTavish

Paige Kristen Thompson

Eric Andrew Faurie

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 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 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 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 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.

Curing a deficiency of a knowledge database

A method for execution by a computing device includes obtaining a set of media element identigens for media elements of media to produce sets of media element identigens. The sets of media element identigens are possible interpretations of a media element. The method further includes generating a set of relationships between media elements. The relationships provide a list of one or more ways in which the media elements are related. The method further includes processing different permutations of the sets of media element identigens using the set of relationships to generate an entigen group. The entigen group represents a most likely interpretation of the media.

Interpreting media

A method performed by a computing device includes generating a comparative query entigen group set based on a comparative query in accordance with identigen rules, where the comparative query entigen group set represents a most likely interpretation of the comparative query. The method further includes obtaining a first response entigen group from a knowledge database based on a first comparative query entigen group of the comparative query entigen group set, where the first response entigen group substantially includes the first comparative query entigen group. The method further includes obtaining a second response entigen group from the knowledge database based on a second comparative query entigen group of the comparative query entigen group set, where the second response entigen group substantially includes the second comparative query entigen group. The method further includes generating a comparative response based on the first response entigen group and the second response entigen group.

Generating comparison information

A method for execution by a computing device includes obtaining a phrase that includes string of words and generating a valid sequence of words utilizing the phrase. The method further includes identifying a set of identigens for each word of the valid sequence of words to produce sets of identigens. The method further includes identifying, for each identigen of the sets of identigens, a word type associated with phrase structure grammar rules to produce sets of identigen-type associations. The method further includes interpreting, utilizing the phrase structure grammar rules, the sets of identigen-type associations to produce an entigen group. The entigen group represents a most likely interpretation of the phrase.

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. The method further includes interpreting the sets of identigens to produce different first and second query entigen groups. The method further includes generating an interim response based on the first and second query entigen groups. The method further includes determining a set of identigens for each updated query word of an updated query to produce updated sets of identigens. The method further includes selecting one of the first or second query entigen group based on the updated sets of identigens to produce a selected query entigen group. The method further includes generating a response entigen group utilizing the selected query entigen group and generating a response to the query utilizing the response entigen group.

Perfecting a query to provide a query response

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

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Huntington Beach, CA, United States of America

David Ralph Lazzara