Applied AI

The document is a lecture on intelligent agents and environments in artificial intelligence, focusing on how agents perceive and interact with their surroundings to achieve goals. It introduces different types of agents (e.g., reflex, goal-based) and environments (e.g., deterministic, stochastic), and explores problem-solving through tree search algorithms like breadth-first and depth-first search. Key concepts include rationality, the PEAS framework, and environment classifications, providing a...