5 Types of AI Agents: Autonomous Functions and Real-World Applications

Explore the five fundamental types of AI agents in this 10-minute IBM video where Martin Keen explains how autonomous systems function in real-world applications. Discover the progression from simple reflex agents that respond to immediate inputs, to model-based agents that maintain internal representations of their environment, goal-based agents that work toward specific objectives, utility-based agents that optimize for maximum value, and learning agents that improve through experience. See practical examples of how these AI architectures enable technologies like package delivery drones to navigate complex environments safely and efficiently. The video breaks down each agent type with clear explanations and real-world use cases, providing a comprehensive introduction to AI agent architectures and their applications in robotics, decision-making, and automation systems.