Abstract: A neuro-symbolic retrieval augmented generation hybrid 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.

Abstract: A method executed by a computing device includes determining a set of identigens for each widely-known 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 word of the query. The method further includes determining another set of identigens for a remaining word to produce an alternate set of identigens. The method further includes selecting an identigen for each set of identigens to produce a query entigen group. The method further includes matching the query entigen group to a set of response entigens to produce a response entigen group as a query response.

Abstract: 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.

Abstract: A method performed by a computing device includes generating a neural network representation of a subjective query and generating a query entigen group as a symbolic architecture representation of the subjective query. 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 generating a symbolic architecture representation of a query response for the subjective query that includes a set of response entigens based on the one or more characteristic entigen categories. The set of response entigens provides an answer for the subjective query.

Abstract: A method executed by a computing device includes determining that a set of words are included in a 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.

Abstract: A method executed by a computing device includes determining to extend knowledge within a knowledge database for an object represented by linked entigens of an entigen group based on a deficiency of the entigen group. 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.

Abstract: A method includes selecting an entigen group from a knowledge database. The entigen group is a most likely meaning of a phrase of a string of words. An entigen of the entigen group corresponds to a selected identigen from a set of identigens regarding a word of the string of words. The set of identigens represent different meanings of the word. The method further includes identifying other entigen groups of alternate phrases having a similar most likely meaning from the knowledge database. The alternate phrases are different permutations of the string of words. The method further includes determining a dominant sentiment the other entigen groups and generating an updated clarifying entigen group based on the sentiment.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 textual descriptions as a proxy for an entigen group. The entigen group represents a most likely interpretation of the media.

Abstract: 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.

Abstract: 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.

Abstract: 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 and determining whether to select the first query command or an identigen of a first set of identigens. 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method executed by a computing device includes determining a set of identigens for 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 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 query and produce a first query entigen group of query entigen groups. The method further includes identifying an inconsistency between at least two query entigen groups of the query entigen groups and obtaining an inconsistency clarification based on the inconsistency. The method further includes selecting one query entigen group of the query entigen groups based on the inconsistency clarification to produce a final query entigen group.