Artificial Intelligence: A Modern Approach | Chapter 2 – Artificial Intelligence | Intelligent Agent скачать в хорошем качестве

Artificial Intelligence: A Modern Approach | Chapter 2 – Artificial Intelligence | Intelligent Agent

What is an intelligent agent, and what does it mean for an agent to be rational? In this lesson, we break down agents as systems that perceive an environment through sensors and act through actuators. You’ll learn the ideas of percepts, percept sequences, agent functions vs. agent programs, and how performance measures define “good behavior.” We also introduce the PEAS framework (Performance, Environment, Actuators, Sensors), key environment types (fully vs. partially observable, deterministic vs. stochastic, episodic vs. sequential, static vs. dynamic, discrete vs. continuous, known vs. unknown), and the main agent architectures: simple reflex, model-based, goal-based, utility-based, and learning agents. A clear foundation for understanding how AI systems decide and improve over time. intelligent agent, agents and environments, rational agent, rationality, agent function, agent program, percept sequence, sensors and actuators, performance measure, peas framework, task environment, ai fundamentals, artificial intelligence, simple reflex agent, model based agent, goal based agent, utility based agent, learning agent, uncertainty, partially observable, stochastic environment, multiagent systems, decision making, expected utility, ai lecture, ai textbook, agent architectures