Expert Systems in AI Explained | Components, Examples, Advantages & Limitations скачать в хорошем качестве

Expert Systems in AI Explained | Components, Examples, Advantages & Limitations

Welcome to this educational session on Expert Systems in Artificial Intelligence (AI). In this video, we explore one of the earliest and most influential applications of AI – Expert Systems. You will learn: ✅ What are Expert Systems in AI? ✅ How Expert Systems work ✅ Core components: Knowledge Base, Inference Engine, User Interface ✅ Advantages & limitations of Expert Systems ✅ Real-world applications in medicine, business, agriculture, and more ✅ Historical examples like MYCIN and DENDRAL This video is designed for students, educators, researchers, and AI enthusiasts who want to build a strong foundation in Artificial Intelligence concepts. Whether you are preparing for exams, teaching AI, or exploring knowledge-based systems, this session will give you clear and practical insights into how expert systems function and why they are still relevant today. 📌 Disclaimer: This video is created only for educational and knowledge-building purposes. The content is AI-generated, and while we strive for accuracy, some details may be incorrect or outdated. Kindly verify facts from trusted academic and professional sources before using the information. #ExpertSystems #ArtificialIntelligence #AI #KnowledgeBasedSystems #MachineLearning #Education #Learning #Technology #ProfessorRahulJain Expert Systems in AI, components of expert systems, knowledge base in AI, inference engine in AI, user interface in expert systems, AI decision making, MYCIN example, DENDRAL expert system, advantages of expert systems, limitations of expert systems, expert system applications, history of expert systems, knowledge-based systems in AI, Artificial Intelligence tutorial, AI for beginners, AI concepts explained, ProfessorRahulJain