Architectures, systems and methods for program defined system

Patent metadata

Field	Value
Publication number	US-2023153614-A1
Application number	US-202318099289-A
Country	US
Kind code	A1
Filing date	Jan 20, 2023
Priority date	Feb 3, 2017
Publication date	May 18, 2023
Grant date	—

Abstract

In one aspect, the inventions include a system for control of a software defined computer network state system. First, an application plane layer is adapted to receive instructions regarding operation of the state system. Preferably, the application plane layer is coupled to an application plane layer interface. Second, a control plane layer includes an adaptive control unit, such as a cognitive computing unit, an artificial intelligence unit or a machine-learning unit. Third, a data plane layer includes an input interface to receive data input from one or more data sources. A title transfer network element is provided to transfer digital assets via a blockchain. The system may use domain transformations and difference engines.

First claim

We claim:

1 . A system for control of a computer system, the system including an adaptive control unit that is trained at least in part utilizing a difference engine, comprising:
an application layer, the application layer adapted to receive instructions regarding operation of the computer system, the application layer coupled to an application layer interface, a control layer, the control layer including the adaptive control unit and a difference engine to identify differences between at least a first set of stored data and a second set of stored data and output information of the differences to train the adaptive control unit, the control layer interfacing with the application layer interface to receive information related to the instructions regarding operation of the computer system, the control coupled to a control layer interface, a data layer, the data layer including an output adapted to provide the content to a display, the data layer including an input interface to receive data input from one or more data sources, the data layer being coupled to the control layer interface, the data layer including a graphical user interface generator generating an output, and an system output receiving the output of the graphical user interface generator, adapted to couple to the display.

2 . The system for control of a computer system of claim 1 wherein the control layer includes a cognitive computing unit.

3 . The system for control of a computer system of claim 1 wherein the control layer includes an artificial intelligence unit.

4 . The system for control of a computer system of claim 1 wherein the control layer includes a machine-learning unit.

5 . The system for control of a computer system of claim 1 wherein the data layer further includes a title transfer network element to transfer digital assets via a blockchain via an output port.

6 . The system for control of a computer system of claim 5 wherein the digital asset is an image.

7 . The system for control of a computer system of claim 5 wherein the digital asset is audible content.

8 . The system for control of a computer system of claim 1 wherein the data layer further includes a value transfer element.

9 . The system for control of a computer system of claim 1 further including a parsing engine to parse at least one data set.

10 . The system for control of a computer system of claim 1 wherein the data layer further includes an input port to receive Internet of Things (IoT) data.

11 . The system for control of a computer system further including a behavior detection unit coupled to sensors to process and provide an output to the control layer to train the adaptive control unit.

12 . The system for control of a computer system of claim 11 wherein the display is a virtual reality headset.

13 . The system for control of a computer system of claim 11 wherein the display is an augmented reality device.

14 . The system for control of a computer system of claim 1 wherein the first set of stored data and the second set of stored data are stored at different times.

15 . The system for control of a computer system of claim 1 wherein the first set of stored data and the second set of stored data are images.

16 . The system for control of a computer system of claim 1 wherein the control layer further includes a domain transform unit.

17 . The system for control of a computer system of claim 16 wherein the domain transform unit transforms from the time domain to the frequency domain.

18 . The system for control of a computer system of claim 17 wherein the domain transform unit is a Fourier transform unit.

19 . The system for control of a computer system of claim 16 wherein the domain transform unit includes a digital signal processor.

20 . The system for control of a computer system of claim 16 wherein the domain transform unit includes multivariate analysis.

Assignees

• Milestone Entertainment Llc

Inventors

• Katz Randall M
• Tercek Robert

Classifications

• G06N3/092 Primary

  Reinforcement learning · CPC title

• G06Q20/3678

  e-cash details, e.g. blinded, divisible or detecting double spending · CPC title

• G06N3/0442

  characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06F9/54

  Interprogram communication · CPC title