Thing machine systems and methods

A computer-based system comprising:

• a first computer-based machine comprising:
• one or more computer-based processors;
• and
• computer-based memory coupled to the one or computer-based processors, wherein the computer-based memory stores computer-readable instructions that, when executed by the one or more computer-based processors, cause the one or more computer-based processors to:
• organize, in a computer readable memory, a directed graph with nodes and edges, wherein each respective node represents a thing of a plurality of things, and each respective edge represents a mutable relationship between the things, wherein each thing represents a performable action or a thing that a performable action can act upon, and wherein each node that corresponds to a performable action corresponds to performable machine code for performing the performable action;
• and
• performing a runtime machine code action to interact with:
• a first performable machine code action, to set a first thing that is representative of content;
• a second performable machine code action, to parse the content of the first thing as a second thing in the directed graph that is representative of a statement;
• a third performable machine code action, to evaluate the statement of the second thing to compute a third thing in the directed graph that is representative of a performable statement comprising an identifier for identifying a performable thing and a related set of things the performable thing is to act upon;
• and
• a fourth performable machine code action, to access the performable statement, locate the performable thing identified by the identifier of the performable statement, and perform a performable action according to the performable statement to act upon the related set of things to set one or more things that are representative of posterior knowledge,
• wherein the posterior knowledge comprises knowledge that the first computer-based machine possesses only after performing the first, second, third and fourth performable machine code actions.

A method for a first computer-based machine of a first machine to adapt its knowledge to an environment, the method comprising:

• organizing, in memory, a directed graph with nodes and edges, wherein each respective node represents a thing, and each respective edge represents a mutable relationship between the things, wherein each thing represents a performable action or a thing that a performable action can act upon, and wherein each node that corresponds to a performable action corresponds to performable machine code for performing the performable action;
• performing a runtime machine code action to interact with:
• a first performable machine code action to set a first thing representative of a topic representative of content received from the use of an electromagnetic waveform device;
• a second performable machine code action to set a second thing representative of a request for content related to said topic;
• a third performable machine code action to communicate a representation of said request as communicated content intended for a second computer-based machine;
• a fourth performable machine code action to receive a communication representative of the requested content and to set a third thing representative of the received content;
• a fifth performable machine code to parse the received content of the third thing as a fourth thing representative of a statement;
• a sixth performable machine code action to evaluate the statement of the fourth thing to compute a fifth thing that is representative of a performable statement;
• and
• a seventh performable machine code action to perform the performable statement of the fifth thing, and to set a set of things representative of learned knowledge,
• wherein the learned knowledge comprises knowledge that the first computer-based machine possesses only after performing the first, second, third and fourth performable machine code actions.

A computer-implemented method for a first computer-based machine to gain knowledge, the method comprising:

• organizing, in a computer readable memory, a directed graph with nodes and edges, wherein each respective node represents a thing of a plurality of things, and each respective edge represents a mutable relationship between the things, wherein each thing represents a performable action or a thing that a performable action can act upon, and wherein each node that corresponds to a performable action corresponds to performable machine code for performing the performable action;
• and
• performing a runtime machine code action to interact with:
• a first performable machine code action represented in the directed graph to set a first thing that is representative of a statement;
• a second performable machine code action represented in the directed graph to evaluate the statement of the first thing to compute a second thing in the directed graph that is representative of a performable statement comprising an identifier for identifying a performable thing and a related set of things the performable thing is to act upon;
• and
• a third performable machine code action represented in the directed graph to access the performable statement, locate the performable thing identified by the identifier of the performable statement, and perform a performable action according to the performable statement to act upon the related set of things to set one or more things that are representative of posterior knowledge,
• wherein the posterior knowledge comprises knowledge that the first computer-based machine possesses only after performing the performable machine code actions.

A thing machine, comprising:

• a processor and a memory configured to store non-transitory machine code that, when executed by the processor, administers a plurality of units of memory referred to as things, each thing comprising an identifier, the collection of thing identifiers representing a working vocabulary of the thing machine,
• wherein the vocabulary comprises a plurality of verb things and a plurality of noun things, each verb thing referencing machine code representing an algorithmic implementation of a model representing performing a verb action, the processor performing the verb action acts upon a noun thing, and the processor performing the verb action:
• performs a first verb action to generate a performable statement comprising a verb;
• and
• performs the performable statement to change the working vocabulary.