7. Tutorial 1: Part II
The chapter provides an in-depth exploration of functionally complete sets of logical operators and their properties. It allows for the representation of any compound proposition using a minimal set of logical operators, demonstrating the transformability of expressions involving implication and conjunction into solely disjunctions and negations. Furthermore, it examines satisfiability of propositions and introduces resolution methods to determine valid arguments and contradictions within logical frameworks.
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What we have learnt
- A set of logical operators is functionally complete if any compound proposition can be represented using that set.
- Implication can be expressed in terms of conjunction and disjunction, enabling the simplification of logical expressions.
- Resolution is a powerful method for demonstrating the validity or invalidity of logical arguments using propositional variables.
Key Concepts
- -- Functionally Complete Set
- A collection of logical operators from which any logical expression can be derived.
- -- Satisfiability
- The property of a logical proposition that determines if there exists an interpretation under which the proposition evaluates to true.
- -- Resolution
- A rule of inference that allows the derivation of conclusions from premises by eliminating variables.
- -- Conjunctive Normal Form (CNF)
- A way of structuring logical propositions as a conjunction of disjunctions.
- -- Tautology
- A logical statement that is true in every possible interpretation.
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