Abstract: A method includes generating an initial entigen group for a query from existing entigens in a knowledge database and determining whether the initial entigen group provides a reliable response to the query. When the initial entigen group does not provide a reliable response to the query, the method further includes determining a desired entigen to add to the initial entigen group to produce an updated entigen group that leads to the reliable response to the query and creating the desired entigen based on obtained targeted data. The method further includes adding the desired entigen to the initial entigen group to produce the updated entigen group and determining whether the updated entigen group provides the reliable response to the query. When the updated entigen group provides the reliable response to the query, the method further includes outputting the reliable response.

Abstract: A method includes obtaining a set of image segment identigens for each image segment of an image to produce sets of image segment identigens. The sets of image segment identigens are possible interpretations of an image segment. The method further includes generating a set of relationships between image segments. The relationships provide a list of one or more ways in which the image segments are related. The method further includes processing different permutations of the sets of image segment identigens in accordance with the set of relationships to generate an entigen group. The entigen group represents a most likely interpretation of the image.

Abstract: 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.

Abstract: A method includes generating a plurality of entigen groups from a set of phrases of a statement and identifying two plausible entigen groups based on a true meaning interpretation of the statement. The method further includes identifying a related entigen group based on a phrase of the statement and interpreting each of the two plausible entigen groups in light of the related entigen group to determine whether one of the two plausible entigen groups is a more likely interpretation of the statement than the other one of the two plausible entigen groups. When the one of the two plausible entigen groups is the more likely interpretation of the statement, the method further includes updating the one of the two plausible entigen groups using the related entigen group to produce an updated entigen group and adding the statement as the updated entigen group to a knowledge database.

Abstract: A method includes obtaining an initial answer entigen group from a knowledge database based on a query entigen group of a query. The method further includes determining that a reliable and definitive answer for the query is not obtainable from the initial answer entigen group. When an incomplete answer entigen is a cause for the inability to obtain the reliable and definitive answer, the method further includes determining a missing element, obtaining data regarding the missing element, updating the incomplete answer entigen with the data to produce an updated answer entigen, and updating the initial answer entigen group with the updated answer entigen to produce an updated answer entigen group. When the updated answer entigen group produces the reliable and definitive answer, the method further includes outputting the reliable and definitive answer.

Abstract: A method includes interpreting sets of first language identigens to produce an entigen group which represents a most likely meaning of a string of first language words. The method further includes identifying, for each entigen of the entigen group, a corresponding set of second language identigens to identify sets of second language identigens. The method further includes selecting, for each entigen of the entigen group, a selected second language identigen from the corresponding set of second language identigens based on meaning of the entigen to produce an initial string of second language words.

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: Methods, systems and apparatus for providing a notification of a wet floor are provided. A scrubbing robot for scrubbing a floor and having one or more liquid carrying components has a sensor coupled to it positioned for collecting data about an area of the floor proximate to the scrubbing robot and along a path over which the robot has travelled. An application is stored on the computer for determining that liquid is on the floor by analysing the data for a presence of a second set of parameters corresponding to or crossing (from above to below or from below to above) a set of threshold parameters that is indicative of the presence of liquid on the floor. A notification module coupled to the scrubbing robot issues at least one of a human detectable and a computer detectable notification in response to the application determining that liquid is on the floor.

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 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 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 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 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.

Abstract: A method includes identifying a set of identigens for each word of a first phrase of a phrase group to produce a first plurality of sets of identigens and determining whether first and second identigen rules are applicable to the first plurality of sets of identigens. When the first and second identigen rules are applicable to the first plurality of sets of identigens, the method further includes identifying a set of identigens for each word of a second phrase of the phrase group to produce a second plurality of sets of identigens and determining that the first identigen rules are applicable to the second plurality of sets of identigens. The method further includes identifying one valid identigen of each set of identigens of the first plurality of sets of identigens by applying the first identigen rules to the first plurality of sets of identigens to produce a first entigen group.

Abstract: A method includes generating an initial entigen group for a query from existing entigens in a knowledge database and determining whether the initial entigen group provides a reliable response to the query. When the initial entigen group does not provide a reliable response to the query, the method further includes determining a desired entigen to add to the initial entigen group to produce an updated entigen group that leads to the reliable response to the query and creating the desired entigen based on obtained targeted data. The method further includes adding the desired entigen to the initial entigen group to produce the updated entigen group and determining whether the updated entigen group provides the reliable response to the query. When the updated entigen group provides the reliable response to the query, the method further includes outputting the reliable response.

Abstract: A method includes obtaining an initial answer entigen group from a knowledge database based on a query entigen group of a query. The method further includes determining that a reliable and definitive answer for the query is not obtainable from the initial answer entigen group. When an incomplete answer entigen is a cause for the inability to obtain the reliable and definitive answer, the method further includes determining a missing element, obtaining data regarding the missing element, updating the incomplete answer entigen with the data to produce an updated answer entigen, and updating the initial answer entigen group with the updated answer entigen to produce an updated answer entigen group. When the updated answer entigen group produces the reliable and definitive answer, the method further includes outputting the reliable and definitive answer.

Abstract: A method includes obtaining a set of image segment identigens for each image segment of an image to produce sets of image segment identigens. The sets of image segment identigens are possible interpretations of an image segment. The method further includes generating a set of relationships between image segments. The relationships provide a list of one or more ways in which the image segments are related. The method further includes processing different permutations of the sets of image segment identigens in accordance with the set of relationships to generate an entigen group. The entigen group represents a most likely interpretation of the image.

Abstract: A method includes generating a new entigen group regarding trusted new information. The method further includes generating entigen groups from phrases of a document and determining whether an entigen group of the entigen groups has a most likely meaning similar to a most likely meaning of the new entigen group. When the entigen group has a most likely meaning similar to the most likely meaning of the new entigen group, the method further includes updating the entigen group based on the new entigen group. When the entigen groups do not include an entigen group having a most likely meaning similar to the most likely meaning of the new entigen group, the method further includes updating the entigen groups to include the new entigen group.

Abstract: A method 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 retrieving a set of word group identigens for the word group and retrieving sets of word identigens for remaining words of the string of words. The method further includes determining whether a word group identigen of the set of word group identigens and word identigens of the sets of word identigens creates an entigen group that is a valid interpretation of the string of words. When the entigen group is the valid interpretation of the string of words, the method further includes outputting the entigen group.

Abstract: A method includes generating a plurality of entigen groups from a set of phrases of a statement and identifying two plausible entigen groups based on a true meaning interpretation of the statement. The method further includes identifying a related entigen group based on a phrase of the statement and interpreting each of the two plausible entigen groups in light of the related entigen group to determine whether one of the two plausible entigen groups is a more likely interpretation of the statement than the other one of the two plausible entigen groups. When the one of the two plausible entigen groups is the more likely interpretation of the statement, the method further includes updating the one of the two plausible entigen groups using the related entigen group to produce an updated entigen group and adding the statement as the updated entigen group to a knowledge database.