Abstract: A method executed by a computing entity includes obtaining, in accordance with a securely passing process, control over a secure first token representing a first pending transaction associated with a transaction item. The method further includes obtaining a selection of a first subset of instant assets of a set of candidate instant assets that may be utilized to subsequently provide conversion of the selected contingent asset to complete the first pending transaction. The method further includes generating an updated secure first token in accordance with the securely passing process to represent the selection of the first subset of instant assets of the set of candidate instant assets to subsequently provide the conversion of the selected contingent asset to complete the first pending transaction.

Abstract: A method executed by a computing entity includes obtaining, in accordance with a securely passing process, control over a secure first token representing a first pending transaction associated with a transaction item. The method further includes obtaining, in accordance with an instant asset selection approach, a selection of a first instant asset of a set of candidate instant assets that may be utilized to subsequently provide conversion of the selected contingent asset to complete the first pending transaction. The method further includes generating an updated secure first token in accordance with the securely passing process to represent the selection of the first instant asset to subsequently provide the conversion of the selected contingent asset to complete the first pending transaction.

Abstract: A method implemented by a computing entity includes obtaining control over a token representing a product component of components that are required for manufacturing of a product. The method further includes evaluating data with regards to an available volume level to produce inventory availability for the product component and subcomponents. When the inventory availability fails to provide the available volume level to facilitate the manufacturing of the product, the method further includes modifying a first set of smart contracts to produce an updated first set of smart contracts that facilitates subsequent inventory availability for the product component and the subcomponents to provide the available volume level to facilitate the manufacturing of the product. The method further includes generating an updated token in accordance with a securely passing process to include the updated first set of smart contracts.

Abstract: A method for execution by a computer generating a virtual reality environment utilizing a group of object representations by identifying an exclusion asset and modifying a set of common illustrative assets to exclude the exclusion asset to produce a redacted set of common illustrative assets. The method further includes rendering a portion of the redacted set of common illustrative asset to produce a redacted set of common illustrative asset video frames and selecting a subset of the redacted set of common illustrative asset video frames to produce a common portion of video frames for the virtual reality environment. The method further includes rendering representations of object representations to produce remaining portions of the video frames for the virtual reality environment. The method further includes linking the common portion and the remaining portions of the video frames to produce the virtual reality environment for interactive consumption.

Abstract: A method includes determining a change to storage parameters associated with storage of data objects in a storage network, where a data segment of the data objects is dispersed storage error encoded into a set of encoded data slices based on dispersed storage error encoding parameters, and where the set of encoded data slices is stored in the set of storage units. The method also includes determining a storage modification process for the set of encoded data slices based on the change to the storage parameters. The method also includes executing the storage modification process such that the set of encoded data slices are stored in the storage network in accordance with the changed storage parameters.

Abstract: A processing system of a storage network operates by: sending, to at least one storage unit of the storage network, at least one read request corresponding to at least a read threshold number of a set of encoded data slices to be retrieved, wherein the set of encoded data slices correspond to a data segment, wherein the data segment is coded in accordance with dispersed error coding parameters that include a write threshold number and the read threshold number, wherein the write threshold number is a number of encoded data slices in the set of encoded data slices and wherein the read threshold number is a number of the set of slices that is required to decode the data segment; receiving, via the at least one processing circuit and from the at least one storage unit, a first subset of encoded data slices of the set of encoded data slices, wherein the first subset of encoded data slices is missing at least one missing encoded data slice that was not received from the at least one storage unit in response to the

Abstract: 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.

Abstract: A method includes receiving a data retrieval request. A plurality of identifiers are determined in accordance with the data retrieval request. Integrity information is generated based on determining the plurality of identifiers by performing a cyclic redundancy check. Stored integrity information corresponding to the data retrieval request is compared with the integrity information, where the stored integrity information was previously generated by performing the cyclic redundancy check. When the stored integrity information compares unfavorably with the integrity information, corruption associated with the plurality of identifiers is determined.

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 executed by a computing entity includes interpreting digital records to produce a first digital record representing a first contingent asset. The method further includes interpreting a first authenticity indicator associated with the first digital record to produce a first contingent asset risk level. When the first contingent asset risk level is greater than a contingency risk threshold level, the method further includes establishing a set of first contingent asset available terms for a corresponding set of portions of the first contingent asset, generating a set of first smart contracts to represent the set of portions to include the set of first contingent asset available terms and a contingent status. The method further includes causing generation of a non-fungible token to represent the set of first smart contracts in an object distributed ledger.

Abstract: A method for utilizing an object distributed ledger executed by a computing entity includes obtaining, in accordance with a securely passing process, control over a secure first pending transaction associated with a transaction item. The method further includes determining a set of candidate contingent assets for the secure first pending transaction based an identity of the transaction item, an identity of a requesting computing entity, and an authenticated value of the transaction item. The method further includes facilitating selection of at least one candidate contingent asset of the set of candidate contingent assets utilizing an asset selection approach to produce a set of selected contingent assets. The method further includes generating a non-fungible token (NFT) in accordance with the securely passing process to represent a corresponding set of smart contracts of the set of selected contingent assets in the object distributed ledger.

Abstract: A method for assessing learning comprehension regarding a topic includes modifying a fundamental illustrative model to illustrate a first set of assessment assets of a first learning object of learning objects to produce a first assessment illustrative model. The fundamental illustrative model is based on illustrative assets of a lesson that includes the learning objects. The method further includes obtaining a first assessment response for the first assessment illustrative model. When the first assessment response is favorable, the method further includes modifying the fundamental illustrative model to illustrate a second set of assessment assets of a second learning object of the learning objects to produce a second assessment illustrative model and obtaining a second assessment response for the second assessment illustrative model.

Abstract: A method for creating an assessment within a multi-disciplined learning tool regarding a topic includes deriving a first set of knowledge test-points for a first learning object regarding the topic based on a first set of knowledge bullet-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes deriving a second set of knowledge test-points for a second learning object regarding the topic based on a second set of knowledge bullet-points, the illustrative asset, and a second descriptive asset of the second learning object. The method further includes generating a knowledge assessment asset based on the first and second knowledge test-points.

Abstract: A method includes determining, by a computing device of a storage network, a pillar width to decode threshold ratio of a dispersed storage error encoding function based on routing path performance information of a set of routing paths with respect to a set of storage units of the storage network. The method further includes dispersed storage error encoding a data object in accordance with the pillar width to decode threshold ratio to produce a plurality of sets of encoded data slices. The method further includes sending the plurality of sets of encoded data slices to the set of storage units via the set of routing paths for storage therein.

Abstract: A method includes generating a content entigen group for content using identigen pairing rules. The method further includes obtaining a contradicting entigen group from a knowledge database based on the content entigen group. The method further includes updating the knowledge database to include the content entigen group. A contradicted entigen of the content entigen group is established to indicate duplication of a contradicted entigen of the contradicting entigen group.

Abstract: A method for improving learning comprehension regarding a lesson includes issuing a first learning illustrative model to a set of learner computing entities. The method further includes obtaining a first comprehension evaluation associated with a first learner computing entity for the first learning illustrative model. The method further includes obtaining a second comprehension evaluation associated with a second learner computing entity for the first learning illustrative model. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object based on at least one of the first and second comprehension evaluations to produce a second learning illustrative model. The method further includes sending the second learning illustrative model to the set of learner computing entities.

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 includes transmitting a solicitation message to target storage units of a plurality of storage units of a storage network, where the solicitation message solicits the target storage units to store encoded data slices of a first data segment of data, and where the message is not sent to other storage units of the plurality of storage units. The method further includes receiving favorable responses from at least some of target storage units, and determining an error coding function based on an amount of the favorable responses and data storage requirements for the first data segment. The method further includes encoding the first data segment in accordance with the error coding function to produce a plurality of encoded data slices. The method further includes outputting the plurality of encoded data slices to storage units of the at least some of the target storage units for storage therein.

Abstract: A network storage system operates by: sending, to at least one storage unit of a storage network, at least one read request corresponding to at least a read threshold number of a set of encoded data slices to be retrieved, wherein the set of encoded data slices correspond to a data segment, wherein the data segment is codable in accordance with dispersed error coding parameters that include a write threshold number and the read threshold number, wherein the write threshold number is a number of encoded data slices in the set of encoded data slices and wherein the read threshold number is a number of the set of slices that is required to decode the data segment; receiving from the at least one storage unit, a first subset of encoded data slices of the set of encoded data slices, wherein the first subset of encoded data slices is missing at least one missing encoded data slice from the number of the set of slices that is required to decode the data segment and that was not received from the at least one storage

Abstract: A method includes a computing entity interpreting digital records representing a multitude of contingent assets to produce a set of contingent asset sale requests. A first contingent asset of a first contingent asset sale request assigns a potential first liability of a first payer to a first seller. The method further includes interpreting a first authenticity indicator associated with the first contingent asset sale request to produce a first contingent asset risk level. When the first contingent asset risk level is greater than a contingency risk threshold level, the method further includes establishing first available terms for the first contingent asset based on the first contingent asset sale request, generating a first smart contract to indicate availability of the first contingent asset to include the first available terms, and causing generation of a non-fungible token to represent the first smart contract in an object distributed ledger.