Foundations of Knowledge Representation and Reasoning

Unlock the core principles behind how artificial intelligence systems understand and process information. Dive into the world of symbolic AI and discover how knowledge is structured and used for intelligent decision-making. By mastering knowledge representation and reasoning, you will be equipped to design AI applications that can interpret complex data, solve problems logically, and make explainable decisions. What you'll learn: Understand the fundamental concepts of knowledge representation, including ontologies and semantic networks. Learn various logical formalisms, such as propositional and first-order logic, for encoding knowledge. Apply reasoning techniques to infer new facts and solve problems within knowledge-based systems. Explore the role of knowledge graphs in organizing and querying complex relational data. Practice building simple knowledge models and reasoning queries using symbolic methods. Identify how symbolic AI contributes to building more transparent and explainable AI systems. This course begins with foundational definitions and moves through various representation schemes and reasoning mechanisms, culminating in practical applications. You will progress from abstract concepts to concrete examples, building a solid understanding of how AI makes sense of the world. This course is designed for beginners with no prior experience in artificial intelligence or knowledge representation, providing all necessary foundational concepts. Start your journey into the fascinating field of symbolic AI and intelligent systems today.