Plugin-BitLife-tee
Overview
Implements on-chain genotype synthesis and evolution based on Conway's Game of Life rules. This plugin enables TEE-enabled computation for genotype evolution and on-chain verification, creating a secure and verifiable environment for AI agent evolution.
Features
- Genotype Synthesis: Create and evolve AI agent genotypes
- TEE-Enabled Evolution: Secure computation of evolutionary processes
- On-Chain Verification: Verifiable evolution results
- Cross-Generation Learning: Inherit traits from successful ancestors
Technical Details
Genotype Structure
- Behavioral traits
- Learning parameters
- Evolution rules
- Fitness metrics
Evolution Process
- Initial population generation
- Fitness evaluation
- Selection and crossover
- Mutation and adaptation
- On-chain verification
Verification Mechanism
- TEE computation proof
- Evolution history tracking
- Fitness validation
- State transitions verification
Security Considerations
Evolution Integrity
- Secure random generation
- Protected mutation process
- Verified fitness calculation
Data Protection
- Genotype encryption
- Secure state transitions
- Access control
Verification Security
- Proof generation
- History immutability
- Replay protection