System and method for enabling autonomous artificial intelligence-enabled skills exchanges between agents over a network

Patent metadata

Field	Value
Publication number	US-12412173-B2
Application number	US-202418647675-A
Country	US
Kind code	B2
Filing date	Apr 26, 2024
Priority date	Dec 29, 2017
Publication date	Sep 9, 2025
Grant date	Sep 9, 2025

Abstract

An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.

First claim

What is claimed is:

1. A method comprising:
receiving a request for a performance of a first computational skill;
performing, using an artificial intelligence (AI) system of a network comprising a plurality of computational notes, a benchmarking analysis of the first computational skill on each of the plurality of computational nodes based a computational efficiency of each of the plurality of computational nodes when executing the application to perform the first computational skill using the corresponding resources, wherein each of the plurality of computational nodes is configured to execute an application that performs one of more computational skills using corresponding resources;
assigning, by the AI system, a value to the performance of the first computational skill by each of the plurality of computational nodes based on the benchmarking analysis and node availability for each of the plurality of computational nodes, wherein the value is associated with tokens exchanged by the plurality of computational nodes to outsource performances of the one or more computational skills between the plurality of computational nodes;
determining a smart contract between a first one and a second one of the plurality of computational nodes at the value for the performance of the first computational skill by one of the first one or the second one of the plurality of computational nodes; and
performing the first computational skill using the application corresponding to the one of the first one or the second one of the plurality of computational nodes.

2. The method of claim 1 , wherein the performing the first computational skill is by the one of the first one or the second one of the plurality of computational nodes based on the smart contract.

3. The method of claim 2 , further comprising:
executing the smart contract for the value based on the one of the first one or the second one of the plurality of computational nodes that performs the first computation skill.

4. The method of claim 3 , wherein the executing the smart contract comprises exchanging a number of the tokens with at least one of the first one or the second one of the plurality of computational nodes for the performance of the first computational skill.

5. The method of claim 1 , further comprising:
recording the performing the first computational skill at one of the value of the smart contract or a further determined value in a transaction ledger accessible by the plurality of computational nodes.

6. The method of claim 1 , wherein the performing the first computational skill comprises:
selecting, based on the assigning, the first one of the plurality of computational nodes for a first portion of the first computational skill; and
selecting, based on the assigning, the second one of the plurality of computational nodes for a second portion of the first computational skill.

7. The method of claim 1 , wherein the value comprises one of an agreed price, a preset price, or a historically determined price for each of the plurality of computational nodes for the performance of the first computational skill.

8. The method of claim 1 , wherein the computational efficiency is associated with at least one of a hardware rating, a user rating, a throughput speed, a percentage success rate, a compression ratio, or a network transaction queue.

9. A system comprising:
one or more non-transitory memory devices; and
one or more hardware processors configured to execute instructions from the one or more non-transitory memory devices to cause the system to perform operations comprising:
receiving a request for a performance of a first computational skill;
performing, using an artificial intelligence (AI) system of a network comprising a plurality of computational nodes, a benchmarking analysis of the first computational skill on each of the plurality of computational nodes based a computational efficiency of each of the plurality of computational nodes when executing the application to perform the first computational skill using the corresponding resources, wherein each of the plurality of computational nodes is configured to execute an application that performs one of more computational skills using corresponding resources;
assigning, by the AI system, a value to the performance of the first computational skill by each of the plurality of computational nodes based on the benchmarking analysis and node availability for each of the plurality of computational nodes, wherein the value is associated with tokens exchanged by the plurality of computational nodes to outsource performances of the one or more computational skills between the plurality of computational nodes;
determining a smart contract between a first one and a second one of the plurality of computational nodes at the value for the performance of the first computational skill by one of the first one or the second one of the plurality of computational nodes; and
performing the first computational skill using the application corresponding to the one of the first one or the second one of the plurality of computational nodes.

10. The system of claim 9 , wherein the performing the first computational skill is by the one of the first one or the second one of the plurality of computational nodes based on the smart contract.

11. The system of claim 9 , wherein the operations further comprise:
executing the smart contract for the value based on the one of the first one or the second one of the plurality of computational nodes that performs the first computation skill.

12. The system of claim 11 , wherein the executing the smart contract comprises exchanging a number of the tokens with at least one of the first one or the second one of the plurality of computational nodes for the performance of the first computational skill.

13. The system of claim 9 , wherein the operations further comprise:
recording the performing the first computational skill at one of the value of the smart contract or a further determined value in a transaction ledger accessible by the plurality of computational nodes.

14. The system of claim 9 , wherein the performing the first computational skill comprises:
selecting, based on the assigning, the first one of the plurality of computational nodes for a first portion of the first computational skill; and
selecting, based on the assigning, the second one of the plurality of computational nodes for a second portion of the first computational skill.

15. The system of claim 9 , wherein the value comprises one of an agreed price, a preset price, or a historically determined price for each of the plurality of computational nodes for the performance of the first computational skill.

16. The system of claim 9 , wherein the computational efficiency is associated with at least one of a hardware rating, a user rating, a throughput speed, a percentage success rate, a compression ratio, or a network transaction queue.

17. A non-transitory machine-readable medium, on which are stored instructions that when executed cause a machine to perform operations comprising:
receiving a request for a performance of a first computational skill;
performing, using an artificial intelligence (AI) system of a network comprising a plurality of computational notes, a benchmarking analysis of the first computational skill on each of the plurality of computational nodes based a computational efficiency of each of the plurality of computational nodes when executing the application to perform the first computational skill using the corresponding resources, wherein each of the plura

Assignees

• Entefy Inc

Inventors

• Ghafourifar Alston
• Ghafourifar Mehdi

Classifications

• G06Q30/0206 Primary

  Price or cost determination based on market factors · CPC title

• H04L67/1042

  using topology management mechanisms · CPC title

• H04L9/0637

  Modes of operation, e.g. cipher block chaining [CBC], electronic codebook [ECB] or Galois/counter mode [GCM] · CPC title

• G06Q2220/10

  Usage protection of distributed data files · CPC title

• H04W4/70

  Services for machine-to-machine communication [M2M] or machine type communication [MTC] · CPC title