IP Library Granted Patent US 10,496,923
Granted Patent B2
US 10,496,923 · App. 16/052,409 · Granted Dec 3, 2019

Architectures, systems and methods for program defined transaction system and decentralized cryptocurrency system

Inventors: Randall M. Katz (Beverly Hills, CA); Robert Tercek (Hollywood, CA)
Assignee: Milestone Entertainment LLC
G06N3/08G06K9/00221G06N3/006G06N3/04G06Q20/065G06Q20/0655G06Q20/12G07F17/329G06N5/04G06Q2220/00
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Quick Facts
Patent No.
US 10,496,923
App. No.
16/052,409
Filed
Aug 1, 2018
Granted
Dec 3, 2019
Kind
B2
Art Unit
2122
USPC
706/25
Abstract

In one aspect, the invention comprises a system for control of a transaction state system utilizing a distributed ledger. First, the system includes an application plane layer adapted to receive instructions regarding operation of the transaction state system. Preferably, the application plane layer is coupled to the application plane layer interface. Second, a control plane layer is provided, the control plane layer including an adaptive control unit, such as a cognitive computing unit, artificial intelligence unit or machine-learning unit. Third, a data plane layer includes an input interface to receive data input from one or more data sources and to provide output coupled to a decentralized distributed ledger, the data plane layer is coupled to the control plane layer. Optionally the decentralized distributed ledger stores data on cryptocurrency.

Claims (28)

1. A system for control of a program defined entertainment state system utilizing a distributed ledger, the system including at least an application plane layer, a control plane layer and a data plane layer, comprising:

an application plane layer, the application layer adapted to receive instructions regarding operation of the transaction state system, the application plane layer coupled to an application plane layer interface, the application plane layer communicating the requirements and desired behavior to the control plane layer via an application controller interface,

a control plane layer, the control plane layer including an adaptive control unit including a cognitive computing unit, the control plane layer interfacing with the application plane layer via the application plane layer interface to receive information related to the instructions regarding operation of the transaction state system, the control plane layer translating the requirements of the application plane layer to the data plane layer, the control plane layer providing capability discovery of the data plane, and

a data plane layer, the data plane layer including an input interface to receive data input from one or more data sources other than the control plane, the input interface including at least one sensor, and to provide output, including at least an image output, coupled to a decentralized distributed ledger, the data plane layer being coupled to the control plane layer.

2. The system for the control of a transaction state system of claim 1 wherein decentralized distributed ledger stores data on cryptocurrency.

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

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

5. The system for control of a transaction state system of claim 1 wherein the control plane layer includes a neural network.

6. The system for control of a transaction state system of claim 5 wherein the neural network is a deep neural network.

7. The system for control of a transaction state system of claim 5 wherein the neural network includes a graphics processing unit (GPU).

8. The system for control of a transaction state system of claim 5 wherein the neural network is trained utilizing user response data.

9. The system for control of a transaction state system of claim 5 wherein the neural network is a vectorized neural network.

10. The system for control of a transaction state system of claim 5 wherein the neural network is a recurrent neural network.

11. The system for control of a transaction state system of claim 1 wherein the control plan layer includes an analytics unit.

12. The system for control of a transaction state system of claim 1 , wherein the control plane layer further includes a processor.

13. The system for control of a transaction state system of claim 1 wherein the application plane layer includes a graphical user interface unit.

14. The system for control of a transaction state system of claim 1 wherein the application play layer further includes a processor.

15. The system for control of a transaction state system of claim 1 wherein the data plane layer includes an input port.

16. The system for control of a transaction state system of claim 1 wherein the input port is coupled to receive external data.

17. The system for control of a transaction state system of claim 16 wherein the external data in Internet of Things (IoT) data.

18. The system for control of a transaction state system of claim 16 wherein the input port is coupled to a processor.

19. The system for control of a transaction state system of claim 1 wherein the data plane layer includes a graphical user interface (GUI) generator.

20. The system for control of a transaction state system of claim 19 wherein the graphical user interface is coupled to an output port.

21. The system for control of a transaction state system of claim 20 wherein the data plane layer includes an output port adapted to couple to a display device.

22. The system for control of a transaction state system of claim 1 wherein the data plane layer further includes a value transfer element.

23. The system for control of a transaction state system of claim 1 wherein the data plane layer further includes a title transfer element.

24. The system for control of a transaction state system of claim 1 wherein the data plane layer further includes a management network element.

25. The system for control of a transaction state system of claim 1 wherein the data plane layer further includes a control network element.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2018
From: KATZ, RANDALL M.; TERCEK, ROBERT
To: MILESTONE ENTERTAINMENT LLC
Reel/Frame 046530/0241 →
Continuity (3)
Continuation 15886432 · Feb 1, 2018
Provisional Application 62454423 · Feb 3, 2017
Related Publication 20180373983A1 · Dec 27, 2018
Cited By (7)
US 12,229,678 US 12,254,435 US 12,261,967 US 12,456,115 US 12,530,339 US 12,567,948 US 12,675,743