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 obtaining a first identigen selection for a first query word from the first set of identigens. The method further includes interpreting, using identigen pairing rules and based on the first identigen selection, the sets of identigens to produce a query entigen group. The method further includes accessing a knowledge database utilizing the query entigen group to produce a response entigen group. The method further includes generating a response to the query using the response entigen group, where the response includes at least one response word.

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, 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.

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 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.

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 inflection 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 inflection 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. 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.

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, 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.

Abstract: 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.

Abstract: 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.

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, 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.

Abstract: 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.

Abstract: A method performed by a computing device includes obtaining a set of image segment identigens for image segments of an image to produce sets of image segment identigens. A set of image segment identigens is a set of possible interpretations of a first image segment of the image segments. The method further includes identifying a subset of valid image segment identigens of each set of image segment identigens by applying identigen rules to the sets of image segment identigens to produce subsets of valid image segment identigens. Each valid image segment identigen of a subset of valid image segment identigens represents a most likely interpretation of a corresponding image segment. The method further includes generating an image entigen group utilizing the subsets of valid image segment identigens, where the image entigen group represents a most likely interpretation of the image.

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 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.

Abstract: A method performed by a computing device includes identifying a first set of sentiment identigens of a plurality of sets of identigens for a query that includes a string of words, where the first set of sentiment identigens represents different meanings of a first sentiment word of the string of words. The method further includes selecting an entigen group from a knowledge database based on the plurality of sets of identigens, where a first sentiment entigen of the entigen group corresponds to the first set of sentiment identigens. The method further includes generating a response entigen group based on the entigen group, where a response entigen of the response entigen group corresponds to a selected identigen from a set of identigens of the plurality of sets of identigens regarding a word of the string of words.

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 performed by a computing device includes generating a first aptitude level entigen group for a first aptitude level phrase in accordance with identigen rules. The first aptitude level entigen group represents a most likely interpretation of the first aptitude level phrase. The method further includes obtaining a multiple aptitude level entigen group from a knowledge database based on the first aptitude level entigen group. The multiple aptitude level entigen group includes the first aptitude level entigen group. The method further includes generating a second aptitude level entigen group utilizing the multiple aptitude level entigen group. The method further includes generating a second aptitude level phrase based on the second aptitude level entigen group. The second aptitude level entigen group represents a most likely interpretation of the second aptitude level phrase.

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 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.

Abstract: A method includes detecting a defective entigen group within a knowledge database. The defective entigen group includes entigens and one or more entigen relationships between at least some of the entigens. The defective entigen group represents knowledge of a topic. The method further includes obtaining corrective content for the topic based on the defective entigen group and generating a corrective entigen group based on the corrective content. The method further includes updating the defective entigen group utilizing the corrective entigen group to produce a curated entigen group.