Скачать или смотреть (Lec-48) Rules of Inference | AI বাংলা টিউটোরিয়াল

Want to prove arguments logically? Learn how to use the Rules of Inference to derive valid conclusions from given premises. This video is your step-by-step guide to understanding how logical reasoning works in mathematics and computer science.

📌 In this tutorial, you’ll learn:

What are Rules of Inference?

Common inference rules:
✔ Modus Ponens
✔ Modus Tollens
✔ Hypothetical Syllogism
✔ Disjunctive Syllogism
✔ Addition & Simplification
✔ Conjunction & Resolution

How to apply these rules in proofs

Real-life and programming logic applications

🎓 Whether you’re studying computer science, mathematics, or philosophy, this video will sharpen your reasoning skills and help you master logical proofs.

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#RulesOfInference #PropositionalLogic #LogicTutorial #ModusPonens #ComputerScienceBasics #MathematicalLogic #Lecturelia #CSProofs #LearnLogic #BanglaTutorials #LogicInAI #ValidArguments


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Inference:
In artificial intelligence, we need intelligent computers which can create new logic from old logic or by evidence, so generating the conclusions from evidence and facts is termed as Inference.

Inference rules:
Inference rules are the templates for generating valid arguments. Inference rules are applied to derive proofs in artificial intelligence, and the proof is a sequence of the conclusion that leads to the desired goal.

In inference rules, the implication among all the connectives plays an important role. Following are some terminologies related to inference rules:

Implication: It is one of the logical connectives which can be represented as P → Q. It is a Boolean expression.
Converse: The converse of implication, which means the right-hand side proposition goes to the left-hand side and vice-versa. It can be written as Q → P.
Contrapositive: The negation of converse is termed as contrapositive, and it can be represented as ¬ Q → ¬ P.
Inverse: The negation of implication is called inverse. It can be represented as ¬ P → ¬ Q.