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Related lectures (26)

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Covers knowledge representation in AI, logical inference, and applications in various domains.

Covers inference engines based on resolution, Horn clauses, filtering, and unification in artificial intelligence.

Explores rules of inference, quantified statements, and proof methods in logic and mathematics.

Covers translating natural language to propositional logic and proving tautologies.

Explores predicate logic, focusing on quantifiers and normal forms, emphasizing the importance of finding witnesses and counterexamples.

Explores existential quantifiers, truth values, and composite statements in predicate logic.

Covers propositional logic, truth tables, and problem-solving strategies in discrete mathematics.

Covers the translation of natural language sentences into predicate logic and the importance of quantifier order.

Covers the basics of propositional logic, logical connectives, truth tables, and compound propositions.

Explores the importance of soundness and completeness in a propositional proof system.