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

Patent metadata

Field	Value
Publication number	US-11651219-B2
Application number	US-202217947222-A
Country	US
Kind code	B2
Filing date	Sep 19, 2022
Priority date	Feb 3, 2017
Publication date	May 16, 2023
Grant date	May 16, 2023

Abstract

In one aspect, the invention comprises a system and method for control of a transaction state system utilizing a distributed ledger. First, the system and method 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 system and method serve to implement a smart contract on a decentralized distributed ledger.

First claim

We claim:

1. A method for the control of a program defined transaction system utilizing a decentralized distributed ledger, the system including at least an application plane layer, a control plane layer including an adaptive control unit including a cognitive computing unit, and a data plane layer, the data plane layer including an input interface to receive and store data input from one or more data sources other than the control plane layer and a title and value transfer element for storing information regarding cryptocurrency, comprising:
receiving at the application plane layer instructions regarding operation of the program defined transaction system, the application plane layer coupled to an application plane layer interface, the application plane layer communicating the requirements to the control plane layer via an application controller interface,
interfacing the control plane layer with the application plane layer via the application plane layer interface to receive information related to the instructions regarding operation of the program defined transaction system,
the control plane layer including the cognitive computing unit,
the control plane further including a difference engine to identify differences between at least a first set of stored data and a second set of stored data, and

 the control plane layer translating the requirements of the application plane layer to the data plane layer, and
receiving at the input interface of the data plane layer information related to the transfer of cryptocurrency for use in the program defined transaction system, the data plane layer being coupled to the control plane layer.

2. The method for control of the program defined transaction system of claim 1 wherein the decentralized distributed ledger is a blockchain.

3. The method for control of the program defined transaction system of claim 1 further storing the information received at the data plane layer in the title and value transfer element to implement a smart contract via the decentralized distributed ledger.

4. The method for control of the program defined transaction system of claim 3 wherein the smart contract implements a lottery.

5. The method for control of the program defined transaction system of claim 3 wherein the smart contract to implement the lottery includes a time frame in which to receive the cryptocurrency.

6. The method for control of the program defined transaction system of claim 3 wherein the smart contract implements a game mechanic.

7. The method for control of the program defined transaction system of claim 3 wherein the smart contract implements a core loop.

8. The method for control of the program defined transaction system of claim 3 wherein the smart contract implements mandated parameters.

9. The method for control of the program defined transaction system of claim 3 wherein the smart contract implements a player's club.

10. The method for control of the program defined transaction system of claim 3 wherein the smart contract transfers a smart property.

11. The method for control of the program defined transaction system of claim 1 further receiving at the input interface sensor output data used to train the cognitive computing unit.

12. The method for control of the program defined transaction system of claim 1 further including a geolocation limit.

13. The method for control of the program defined transaction system of claim 1 wherein the data plane layer further including permissioned access.

14. The method for control of the program defined transaction system of claim 1 wherein the data plane layer further including permission less access.

15. The method for control of the program defined transaction system of claim 1 wherein the control plan layer includes an analytics unit.

16. The method for control of the program defined transaction system of claim 1 further including receiving at the input interface of the data plane layer information related to Internet of Things (IoT) data.

17. The method for control of the program defined transaction system of claim 1 further storing the information in the title and value transfer element to transfer a digital asset via the decentralized distributed ledger.

18. The method for control of the program defined transaction system of claim 17 wherein the digital asset is an image.

19. The method for control of the program defined transaction system of claim 17 wherein the digital asset is audible content.

20. The method for control of the program defined transaction system of claim 17 wherein the digital asset is a digital document.

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

• G06F21/316

  by observing the pattern of computer usage, e.g. typical user behaviour · CPC title