Intelligent Agents in AI 🤖 | PEAS & Types of Environments | Real-Life Examples | Lecture 02

📚 Intelligent Agents in AI | Lecture 02 In this lecture, we will learn Intelligent Agents in Artificial Intelligence with simple explanations and real-life examples. 📌 Topics Covered: 🔹 Intelligent Agent – Definition & Concept 🔹 Agent–Environment Interaction 🔹 Sensors & Actuators 🔹 PEAS Framework – Performance Measure, Environment, Actuators & Sensors 🔹 PEAS Example – Self-Driving Car 🔹 Types of AI Environments 🔹 Observable & Partially Observable 🔹 Deterministic & Stochastic 🔹 Episodic & Sequential 🔹 Static & Dynamic 🔹 Discrete & Continuous 🔹 Single-Agent & Multi-Agent 🎯 Exam Point of View: Important definitions, differences, diagrams and real-life examples are covered to help you prepare for Engineering/AI exams. 📖 Study Material / PPT: The lecture material/PDF can be provided with this video. 👍 Like the video if you find it helpful. 🔔 Subscribe to NextGen Engineer Gs for more Engineering & AI lectures, syllabus-based content and exam-oriented preparation. #ArtificialIntelligence #IntelligentAgents #PEAS #AI #AgentEnvironment #AIEnvironment #EngineeringStudents #AIEducation #Lecture02 #NextGenEngineerGs #ErShubhamKumar