Blockchain Automated User Matching via Distributed AI
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Solution Overview
Problem
Current match making systems in decentralized peer-to-peer networks face inefficiencies and vulnerabilities due to their reliance on centralized hubs, which limit their ability to handle multiple parties and create a single point of trust, leading to potential unauthorized use and data security issues.
Innovation Solution
A blockchain-based automated user matching system that utilizes artificial intelligence algorithms to match supply and demand side parameters across a decentralized peer-to-peer network, distributing the matching process across multiple computing devices and storing data on a blockchain to enhance security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If match making is performed at a centralized computing hub, then the system can maintain a singular trust relationship, but the system creates a centralized point for unauthorized use and reduces ability to handle multiple parties
Solution Approach 1:
The patent divides the centralized match making function into distributed segments across multiple peer nodes in the network. Each node can independently perform matching operations, eliminating the single point of control and reducing vulnerability to unauthorized access while maintaining trust through cryptographic verification of matching results.
Solution Approach 2:
The patent introduces blockchain technology as an intermediary layer that mediates trust between users without requiring a centralized hub. The blockchain provides immutable recording of matching transactions and cryptographic verification mechanisms, allowing nodes to trust each other directly through the blockchain's consensus protocol rather than through a central authority.
2Device complexity
If match making is performed one-to-one at a computing hub, then the system can maintain simplicity, but the system is unable to handle matching over a plurality of parties
Solution Approach 1:
The patent designs the matching algorithm to be universally applicable to any number of parties. The same distributed matching protocol can handle one-to-one matching, many-to-one matching, or many-to-many matching scenarios, providing multi-functionality without requiring separate systems for different matching types.
Solution Approach 2:
The patent implements a dynamic matching system where the number and configuration of participating parties can change flexibly. Nodes can dynamically join or leave matching groups, and the system adapts to different group sizes and compositions without requiring structural changes, enabling versatile multi-party matching while maintaining operational simplicity.
Data Source
AI summary
Methods, systems, and apparatuses for blockchain-based automated user matching are described herein. In some arrangements, a node within a decentralized peer-to-peer (e.g., P2P) network may receive match parameters from one or more computing devices associated with supply side entities and demand side entities. The node may execute one or more artificial intelligence algorithms to match the supply side entities with the demand side entities based on the received match parameters. In some instances, the artificial intelligence algorithms may be stored in a smart contract on a blockchain and the matching may be performed through execution of the smart contract by nodes of the decentralized P2P network.