Today, we will explore satisfiability and how we can determine if a compound proposition has a truth assignment that makes it true. Can anyone explain what satisfiability means in their own words?

Exactly! So when we check if a proposition is satisfiable, we look for at least one combination of true and false for the variables that satisfies all clauses.

Good question! If no combination satisfies the clauses, we say the expression is unsatisfiable. Now let’s move on to the practical approach we will use for finding satisfiable assignments.

Let’s look at a specific CNF expression. If we have a disjunction like 'r OR ¬p', what would happen if we set r = true?

Correct! Setting r to true allows us to satisfy that clause. It makes understanding the interaction of clauses much simpler. Can anyone give me an example of another clause that could be satisfied by this truth assignment?

Excellent work! By manipulating truth values accordingly, we can find a complete truth assignment satisfying multiple clauses.

Having established some truth values, can anyone think of how we might end up satisfying all the clauses in this proposition?

Great point! That's why we often need to systematically iterate through possible assignments, ensuring that we don’t miss any potential configurations that satisfy all clauses. Let’s practice this with an example.

Absolutely! Using truth tables can provide a visual aid for understanding how combinations of truth values lead to satisfiability.

Now that we've tackled satisfiability, let’s discuss how this leads us toward understanding tautologies. What defines a tautology?

Exactly right! So if we know that the negation of a proposition is unsatisfiable, what can we conclude?

Very well stated! This concept opens up pathways for creating algorithms that could assess whether statements are tautologies based on their satisfiability.