Goal-Based vs Utility-Based Agents: What's the Difference? скачать в хорошем качестве

Goal-Based vs Utility-Based Agents: What's the Difference?

This topic introduces students to the different types of AI agents and how they function in real-world and simulated environments. It covers simple reflex agents, model-based agents, goal-based agents, utility-based agents, and learning agents, explaining how each type perceives its environment and selects actions. Through practical examples such as thermostats, self-driving cars, and recommendation systems, learners understand how agent complexity increases from rule-based responses to intelligent, adaptive behavior. The session builds a strong foundation for designing and analyzing intelligent systems in Artificial Intelligence.