Abstract: A system and method for performing a desired verb action involves administering units of memory having a set of non-mutable components in a knowledge base. The components are organized as a graph with nodes and edges extending between the nodes. The nodes correspond to the components and are representative of definitional knowledge and procedural knowledge of a model. The model has a component representative of a vocabulary of components including components representative of performable actions and components a performable action can act upon. A verb is located in the vocabulary satisfying a criteria of the desired verb action. The verb action is performed in a context of a domain of discourse. The domain of discourse includes a set of components the performable action can act upon. The domain of discourse includes the vocabulary.

Abstract: A system includes a multiplexed optical identifier and a reader for the optical identifier. The multiplexed optical identifier includes an optical substrate, and a plurality of volume holograms in the optical substrate. The reader includes an illumination source and a camera. The illumination source is configured to direct light into the optical identifier to produce an image of a corresponding one of the volume holograms at the camera, and the camera is configured to capture the image, which is stored in a digital format by the system. The multiplexed optical identifier contains more than one code page, wherein each of the code pages is used for a different purpose.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes an illumination source (e.g., a laser), and a camera. The illumination source is configured to direct light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A computer-implemented method is disclosed for a first computer based machine to gain knowledge. The method includes performing a first performable machine code action to interact with a first performable machine code action to set a first thing that is representative of content, performing a second performable machine code action to interact with the thing to parse the content of the first thing as a second thing that is representative of a statement, performing a third performable machine code action to interact with the thing to evaluate the statement of the second thing to compute a third thing that is representative of a performable statement, and performing a fourth performable machine code action to interact with the thing to perform the performable statement of the third thing, the fourth performable machine code action in performing the performable statement, interacts with the thing to set one or more things that are representative of posterior knowledge.

Abstract: A computer-implemented method is disclosed for a first (P(TM)) to gain knowledge. The method includes: performing a first P(TM(i)) to interact with a P(TM(thing)) to set a first Thing that is representative of content, performing a second P(TM(i)) to interact with the P(TM(thing)) to parse the content of the first Thing as a second Thing that is representative of a statement, performing a third P(TM(i)) to interact with the P(TM(thing)) to evaluate the statement of the second Thing to compute a third Thing that is representative of a performable statement, and performing a fourth P(TM(i)) to interact with the P(TM(thing)) to perform the performable statement of the third Thing, The fourth P(TM(i)), in performing the performable statement, interacts with P(TM(thing)) to set one or more Things that are representative of posterior knowledge.

Abstract: A system and method for securing a resource includes a combination code generator configured to receive a first input sequence and a first panel context and generate a first computed combination code. A second computed combination code is generated from a received second input sequence and a second panel context. A set panels module receives the first computed combination code and the first panel context and re-orders the panels of the first panel context to set the second panel context. a hash key generator converts the received second panel context and the second combination code into a first hash key.

Abstract: A Thing Machine is provided having a processor, non-transitory memory, non-transitory computer readable media, and performable machine code P(TM). The P(TM) is comprised of a first set of performable machine code actions, having one or more performable machine code P(TM(i)) action, wherein each performable machine code P(TM(i)) action is configured as an implementation of an algorithmic procedure of a model, wherein a first P(TM(i)) provides an action of self-configuring a first vocabulary of Things in said non-transitory memory of the Thing Machine, said Things representative of Things that said processor can perform as actions, and the set of Things an action can act upon, and wherein at least one P(TM(i)) machine code action is performed to configure a second vocabulary of Things in the non-transitory memory of the Thing Machine representative of a core vocabulary through which an application can be provided.

Abstract: A Thing Machine is provided having a processor, non-transitory memory, non-transitory computer readable media, and performable machine code P(TM). The P(TM) is comprised of a first set of performable machine code actions, having one or more performable machine code P(TM(i)) action, wherein each performable machine code P(TM(i)) action is configured as an implementation of an algorithmic procedure of a model, wherein a first P(TM(i)) provides an action of self-configuring a first vocabulary of Things in said non-transitory memory of the Thing Machine, said Things representative of Things that said processor can perform as actions, and the set of Things an action can act upon, and wherein at least one P(TM(i)) machine code action is performed to configure a second vocabulary of Things in the non-transitory memory of the Thing Machine representative of a core vocabulary through which an application can be provided.

Abstract: A method for administering a plurality of Things in a knowledge base includes receiving a statement. A first verb action parses the statement into a parsed Thing. A second verb action evaluates the parsed Thing using a vocabulary, and computes and sets a performable statement Thing having a verb in the vocabulary representing a performable action. A third verb action performs the performable action upon a target Thing, wherein the vocabulary encompasses a set of performable action Things and a set of target Things a performable action Thing can act upon.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes a laser, and a camera. The laser is configured to direct laser light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A Thing Machine is provided having a processor, non-transitory memory, non-transitory computer readable media, and performable machine code P(TM). The P(TM) is comprised of a first set of performable machine code actions, having one or more performable machine code P(TM(i)) action, wherein each performable machine code P(TM(i)) action is configured as an implementation of an algorithmic procedure of a model, wherein a first P(TM(i)) provides an action of self-configuring a first vocabulary of Things in said non-transitory memory of the Thing Machine, said Things representative of Things that said processor can perform as actions, and the set of Things an action can act upon, and wherein at least one P(TM(i)) machine code action is performed to configure a second vocabulary of Things in the non-transitory memory of the Thing Machine representative of a core vocabulary through which an application can be provided.

Abstract: A system and method for securing a resource includes a combination code generator configured to receive a first input sequence and a first panel context and generate a first computed combination code. A second computed combination code is generated from a received second input sequence and a second panel context. A set panels module receives the first computed combination code and the first panel context and re-orders the panels of the first panel context to set the second panel context. a hash key generator converts the received second panel context and the second combination code into a first hash key.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes an illumination source (e.g., a laser), and a camera. The illumination source is configured to direct light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes a laser, and a camera. The laser is configured to direct laser light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A Thing Machine is provided having a processor, non-transitory memory, non-transitory computer readable media, and performable machine code P(TM). The P(TM) is comprised of a first set of performable machine code actions, having one or more performable machine code P(TM(i)) action, wherein each performable machine code P(TM(i)) action is configured as an implementation of an algorithmic procedure of a model, wherein a first P(TM(i)) provides an action of self-configuring a first vocabulary of Things in said non-transitory memory of the Thing Machine, said Things representative of Things that said processor can perform as actions, and the set of Things an action can act upon, and wherein at least one P(TM(i)) machine code action is performed to configure a second vocabulary of Things in the non-transitory memory of the Thing Machine representative of a core vocabulary through which an application can be provided.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes an illumination source (e.g., a laser), and a camera. The illumination source is configured to direct light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A system and method for securing a resource includes a combination code generator configured to receive a first input sequence and a first panel context and generate a first computed combination code. A second computed combination code is generated from a received second input sequence and a second panel context. A set panels module receives the first computed combination code and the first panel context and re-orders the panels of the first panel context to set the second panel context. a hash key generator converts the received second panel context and the second combination code into a first hash key.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes a laser, and a camera. The laser is configured to direct laser light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes a laser, and a camera. The laser is configured to direct laser light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.

Abstract: A system includes a plurality of optical identifiers and a reader for the optical identifiers. Each optical identifier has an optical substrate and a volume hologram (e.g., with unique data, such as a code page) in the optical substrate. The reader for the optical identifiers includes a laser, and a camera. The laser is configured to direct laser light into a selected one of the optical identifiers that has been placed into the reader to produce an image of the associated volume holograms at the camera. The camera is configured to capture the image. The captured image may be stored in a digital format by the system.