Knowledge Representation: Introduction

This lecture introduces the topic of knowledge representation in artificial intelligence, covering the organization of the course, the concept of intelligence, the logical representation of knowledge, and the different types of inference. The instructor discusses the challenges of defining intelligence, the importance of knowledge in AI, and the applications of AI in various domains. The lecture also delves into the logic of predicates, rules of logical equivalence, and the process of logical inference. Examples and practical applications are provided to illustrate the concepts discussed.