Reasoning in Uncertain Situations in Artificial Intelligence | MCA Seminar

Hello everyone! 👋 In this video, I present my seminar on Reasoning in Uncertain Situations in Artificial Intelligence. This presentation explains how AI systems make decisions when information is incomplete, unclear, or uncertain. It covers the basic concepts, important reasoning techniques, real-world applications, advantages, limitations, and possible future research areas. 📚 Topics covered: Introduction to Reasoning in Uncertain Situations Certainty and Uncertainty Types of Uncertainty Probability Theory Bayesian Reasoning Certainty Factors Fuzzy Logic Dempster–Shafer Theory Non-Monotonic Reasoning Weather Prediction Example Real-World Applications Advantages and Limitations Possible Research Areas Challenges and Future Research