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Propositional logic in AI fundamentals

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Artificial Intelligence

Lessons no : 2

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What will you learn in this course?
  • Master propositional variables, logical connectives, and construct complex logical expressions in AI contexts
  • Apply laws of logic, including De Morgan's and distributive laws, to simplify and transform AI logical statements
  • Utilize proof techniques like direct proof, contradiction, and induction to validate AI reasoning and problem-solving
  • Implement propositional logic for knowledge representation, automated reasoning, and solving real-world AI problems

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Lessons | 2


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Propositional logic in AI course in hindi, in this course we will learn about Propositional Logic in AI. The course begins with an introduction to the fundamental concepts of propositional logic, focusing on its role in artificial intelligence. We will explore the basics of propositions, propositional variables, and logical connectives such as AND, OR, NOT, IMPLIES, and EQUIVALENT. Through practical examples and exercises, you will learn how to construct and manipulate logical expressions to represent complex facts and rules. The course will cover important laws of logic, including De Morgan's laws and distributive laws, which are essential for simplifying and transforming logical statements. You will also gain hands-on experience with proof techniques like direct proof, proof by contradiction, and proof by induction, which are crucial for validating logical arguments. Additionally, we will delve into the applications of propositional logic in AI, such as knowledge representation, automated reasoning, and problem-solving. By the end of this course, you will have a solid understanding of how to use propositional logic to model and solve real-world problems in artificial intelligence. This course is ideal for students, professionals, and anyone interested in the foundational aspects of AI logic systems, providing a comprehensive foundation in propositional logic as it applies to the field of AI.