# Glossary * **Adversarial AI Agents:** AI models trained to simulate real-world attack scenarios, probing smart contracts, tokens, and AI agents for vulnerabilities. * **Swarm Intelligence:** The collective behavior of autonomous agents working together to simulate complex and evolving threat landscapes. * **Reinforcement Learning (RL):** A machine learning paradigm where agents learn optimal attack and defense strategies by trial and error, continuously improving based on feedback. * **Onchain Economy:** The ecosystem of blockchain-based assets, smart contracts, tokens, and decentralized applications. * **Agentic Web:** The emerging network of autonomous AI agents interacting within decentralized environments. * **Prompt Injection:** A type of adversarial input manipulation that causes AI agents to perform unintended or harmful actions. * **Rug Pull:** A fraudulent event where project creators drain liquidity or funds, leaving token holders with worthless assets. * **Exit Scam:** Similar to a rug pull, involving a sudden shutdown or disappearance by project operators, leaving users without recourse. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://quillainetwork.gitbook.io/quillai-network/introduction/glossary.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.