entigenlogic LLC

A neuro-symbolic retrieval augmented generation hybrid method includes determining a set of identigens for each word of a query to produce sets of identigens and interpreting the identigens to determine a most likely meaning of the query and produce a query entigen group. The method further includes issuing a prompt to large language model (LLM) artificial intelligence (AI) system utilizing the query entigen group.

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. A set of identigens of the sets of identigens represents one or more different meanings of a query word of the query. The method further includes determining that a first query word is associated with a first query command. When selecting the first query command, the method further includes interpreting remaining sets of identigens to produce a query entigen group that represents a most likely meaning interpretation of remaining query words. The method further includes accessing a knowledge database utilizing the query entigen group to obtain entigen information and outputting a response based on the entigen information and the first query command.

A method performed by a computing device includes interpreting a geographic location selection optimization request to produce a geographic location request entigen group that includes a subset of confirmed geographic location entigens, a subset of confirmed geographic location access timeframe entigens, a subset of unconfirmed geographic location descriptive entigens, and a subset of unconfirmed geographic location access timeframe entigens. The method further includes identifying a set of response entigen groups based on the geographic location request entigen group. The method further includes selecting one response entigen group of the set of response entigen groups to produce a recommendation entigen group as a response to the geographic location selection optimization request.

A method includes determining a symbolic representation of words to produce tokens of a first memory and generating a first equation package that corresponds to a first permutation of interpretation of the tokens based on one or more different meanings of the symbolic representation to produce interim knowledge. The method further includes updating the first equation package that optimizes an interpretation confidence level for the tokens based on clarifying tokens of a second memory to produce a second equation package that includes a sequence of second selected equation elements that corresponds to a second permutation of interpretation of the tokens as updated interim knowledge. The method further includes establishing a single sequence of selected equation elements as curated knowledge representing the words when the updated interim knowledge contains a single sequence of selected equation elements that corresponds to a permutation of interpretation of the tokens.

A method executed by a computing device includes forming tokenized words based on text that includes a query and associating individual tokenized words with information indicative of possible interpretations of the individual tokenized words. The method further includes generating one or more equation packages based on respective permutations of the possible interpretations and selecting a surviving equation package of the one or more equation packages based on at least some of the relationship information described in the one or more equation packages. The method further includes generating, based on the surviving equation package of the one or more equation packages, a response to the query.

A method executed by a computing device includes determining a symbolic representation of words to produce tokens and generating a first equation package for the tokens that corresponds to a first permutation of interpretation of the tokens based on one or more different meanings of the symbolic representations to produce interim knowledge. The method further includes updating the first equation package that optimizes an interpretation confidence level for the tokens based on clarifying tokens—to produce a second equation package that includes a sequence of second selected equation elements that corresponds to a second permutation of interpretation of the tokens as updated interim knowledge. The method further includes establishing a single sequence of selected equation elements as curated knowledge representing the words when the updated interim knowledge contains a single sequence of selected equation elements that corresponds to a permutation of interpretation of the of tokens.

A method executed by a computing device includes forming tokenized words based on text that includes a query and associating individual tokenized words with information indicative of possible interpretations of the individual tokenized words. The method further includes generating one or more equation packages based on respective permutations of the possible interpretations and eliminating at least some of the relationship information described in the one or more equation packages. The method further includes generating, based on a surviving equation package of the one or more equation packages, a response to the query.

A method executed by a computing device includes determining a symbolic representation from a memory for query words to produce a plurality of tokens. The method further includes generating a first equation package for the plurality of tokens to produce interim query knowledge representing the multitude of query words. The method further includes updating the first equation package that optimizes an interpretation confidence level to produce a second equation package as updated interim query knowledge. When the updated interim query knowledge contains a single sequence of selected equation elements that corresponds to an interpretation of the plurality of tokens, the method further includes establishing the single sequence of selected equation elements as curated query knowledge representing the query words.

A method performed by a processor includes identifying a symbolic representation of a query of a topic to produce a plurality of tokens. The method further includes generating a first equation package for the plurality of tokens that corresponds to a first permutation of a plurality of permutations of interpretation of the plurality of tokens based on one or more different meanings of the symbolic representations of the query. The method further includes updating, utilizing a symbolic representation memory, the first equation package for the plurality of tokens that optimizes an interpretation confidence level for the plurality of tokens to produce a second equation package that includes a sequence of second selected equation elements that corresponds to a second permutation of the plurality of permutations of interpretation of the plurality of tokens representing a most likely interpretation of the query.

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. 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. The method further includes generating a comparative response based on the first response entigen group and the second response entigen group.