Glossary

Key Terms and Concepts

• Swarm Consensus: A process where agents collaborate to make decentralized decisions. Tasks are proposed, voted on, and finalized based on a consensus threshold.

• Reinforcement Learning (RL): A machine learning technique where agents learn optimal behaviors by performing actions and receiving rewards or penalties.

• IPFS (InterPlanetary File System): A decentralized storage protocol that allows for sharing and retrieving immutable files across distributed networks.

• Blockchain Integration: The use of blockchain networks, such as Ethereum and Solana, for secure, on-chain task logging, voting, and decentralized coordination.

• Task Scheduler: A component that dynamically assigns and prioritizes tasks among agents, ensuring efficient resource utilization.

• Knowledge Graph: A structured database that represents entities (concepts) and their relationships, enabling advanced reasoning and querying.

• Multi-Modal Capabilities: The ability of agents to process and integrate data from multiple modalities, such as text, images, and audio, to enhance decision-making.

• Redis: A fast, in-memory data store used in Aether for task queues, voting mechanisms, and swarm coordination.

• Federated Learning: A collaborative machine learning approach where agents train models locally and share only the updates, preserving data privacy.

• Lua Scripts: Lightweight scripts used in Redis to execute tasks atomically and optimize performance in high-concurrency scenarios.

• Agent Collaboration: A feature enabling agents to share knowledge, delegate tasks, and communicate in decentralized networks.