NFT-Based AI Entity Personality Management via Smart Contracts
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Solution Overview
Problem
Existing technologies lack a comprehensive solution for creating and managing artificially intelligent entities represented by non-fungible tokens (NFTs) on a blockchain, particularly in terms of assigning and evolving personality characteristics over time.
Innovation Solution
The solution involves generating an NFT on a blockchain to represent an artificially intelligent entity, storing a personality dataset separately on the blockchain, and using smart contracts to correlate the NFT with the personality dataset, thereby assigning and updating the entity's personality characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If NFTs are used to represent artificially intelligent entities on a blockchain, then ownership and uniqueness of the entities can be tracked and verified, but the complexity of managing and evolving personality characteristics over time increases
Solution Approach 1:
The patent divides the AI entity representation into separate components: an NFT on the blockchain for ownership verification, and a personality dataset stored separately (e.g., on IPFS) for characteristic management. This segmentation allows the blockchain to maintain simple ownership tracking while the separate dataset handles the complexity of personality evolution.
Solution Approach 2:
The patent introduces a smart contract as an intermediary between the NFT and the personality dataset. The smart contract manages the correlation between the two, handling the complexity of linking and unlinking datasets while maintaining the simplicity of the blockchain-based NFT system.
2Stability of the object's composition
If personality datasets are stored separately from NFTs on the blockchain, then the NFT remains simple and immutable, but the association between NFT and personality characteristics becomes more complex
Solution Approach 1:
The smart contract serves as an intermediary that manages the correlation between the immutable NFT and the changeable personality dataset. It handles the complexity of establishing and maintaining links between these two separate components without compromising the immutability of either.
Solution Approach 2:
The patent creates a dynamic system where the personality dataset can evolve and change over time while the NFT remains static. The smart contract enables dynamic updates to the personality characteristics without affecting the immutable nature of the NFT itself.
3Reliability
If smart contracts are used to correlate NFTs with personality datasets, then automated execution and trust are improved, but the system complexity and computational requirements increase
Solution Approach 1:
The smart contract performs self-service by automatically executing the correlation between NFTs and personality datasets based on predefined conditions. This automation eliminates the need for manual intervention while maintaining system simplicity through code-based logic rather than complex centralized management.
Data Source
AI summary
Some examples of the present disclosure relate to generating artificially intelligent entities represented on a blockchain using a non-fungible token (NFT). In one such example, a system can generate an NFT on a blockchain. The NFT can represent an artificially intelligent entity. The system can also generate a personality dataset on the blockchain, the personality dataset describing personality characteristics of the artificially intelligent entity. The system can then correlate the NFT to the personality dataset, thereby assigning the personality characteristics to the artificially intelligent entity. Once generated, the artificially intelligent entity may reside in a virtual ecosystem in which it can perform tasks and learn over time.