🔹 1. AI Agent
An autonomous system that can perceive its environment, reason, take actions, and learn to achieve specific goals.
🔹 2. Intelligent Agent
A type of AI agent that not only reacts but also plans, adapts, and optimizes its actions based on past experiences and future predictions.
🔹 3. Multi-Agent System (MAS)
A system composed of multiple interacting AI agents that cooperate or compete to solve complex problems.
🔹 4. Perception
The process through which an agent receives data from its environment (e.g., through sensors or APIs).
🔹 5. Action Space
The set of all possible actions an AI agent can take in a given environment.
🔹 6. Reward Function
A mechanism used in reinforcement learning that gives feedback (positive or negative) to guide agent behaviour.
🔹 7. Policy
A strategy that defines how an agent chooses actions based on its observations or state.
🔹 8. Environment
The external context or virtual world in which the AI agent operates and makes decisions.
🔹 9. Autonomous Agent
An agent that can operate independently without direct human intervention.
🔹 10. Reactive Agent
An agent that responds to changes in the environment without internal memory or reasoning.
🔹 11. Deliberative Agent
An agent with internal models of the world, capable of planning and reasoning before acting.
🔹 12. Learning Agent
An AI agent that improves its performance over time by learning from experience or feedback.
🔹 13. Embodied Agent
A physical AI agent, such as a robot, that interacts with the real world through sensors and actuators.
🔹 14. Cognitive Agent
An AI agent designed to mimic human-like thinking and decision-making processes.
🔹 15. Agent Framework
A software platform or architecture for building and deploying AI agents (e.g., LangChain, CrewAI).
🔹 16. Agent Architecture
The design structure of an agent, such as reactive, hybrid, or BDI (Belief-Desire-Intention) architectures.
🔹 17. Task-Oriented Agent
An agent designed to complete specific tasks, such as booking a ticket or summarizing a document.
🔹 18. Tool-Using Agent
An agent that can call external tools (e.g., web search, database queries) to complete its tasks.
🔹 19. LLM-Powered Agent
An agent that uses a large language model (LLM) like GPT for reasoning, conversation, and decision-making.
🔹 20. Agent Memory
A memory system that allows agents to remember past interactions, goals, or context to act more intelligently.