AI agents are autonomous entities that observe their environment, make decisions, and take actions to achieve specific goals.
AI agents are used in various applications such as robotics, virtual assistants, and game playing. They help in automating tasks, providing personalized assistance, and solving complex problems.
The process involves designing an agent that can perceive its environment through sensors, process the information, and take actions using actuators. The agent’s behavior is typically governed by algorithms and models that enable it to learn from its experiences and improve its performance over time.
For example, in a virtual assistant application, an AI Agent might be used to schedule appointments, answer questions, and control smart home devices based on user commands.
AI agents can be classified into different types based on their capabilities, such as reactive agents, deliberative agents, and hybrid agents. Common techniques used in developing AI agents include reinforcement learning, decision trees, and neural networks.
Understanding and implementing AI agents is essential for creating intelligent systems that can operate autonomously and adapt to dynamic environments.
- Related terms
- Autonomous Agents Reinforcement Learning