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Home/ Questions/Q 8547943
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Editorial Team
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Editorial Team
Asked: June 11, 20262026-06-11T13:22:47+00:00 2026-06-11T13:22:47+00:00

I haven’t been able to understand what the resolution rule is in propositional logic.

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I haven’t been able to understand what the resolution rule is in propositional logic. Does resolution simply state some rules by which a sentence can be expanded and written in another form?
Following is a simple resolution algorithm for propositional logic. The function returns the set of all possible clauses obtained by resolving it’s 2 input. I can’t understand the working of the algorithm, could someone explain it to me?

  function PL-RESOLUTION(KB,α) returns true or false
     inputs: KB, the knowledge base, a sentence α in propositional logic, the query, a
             sentence in propositional logic 
     clauses <--- the set of clauses in the CNF representation of KB ∧ ¬α
     new <--- {}
     loop do
        for each Ci, Cj in clauses do
            resolvents <----- PL-RESOLVE(Ci, Cj)
            if resolvents contains the empty clause then return true
            new <--- new ∪ resolvents
        if new ⊆ clauses then return false
        clauses <---- clauses  ∪ new                                                                           
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  1. Editorial Team
    Editorial Team
    2026-06-11T13:22:48+00:00Added an answer on June 11, 2026 at 1:22 pm

    It’s a whole topic of discussion but I’ll try to explain you one simple example.

    Input of your algorithm is KB – set of rules to perform resolution. It easy to understand that as set of facts like:

    1. Apple is red
    2. If smth is red Then this smth is sweet

    We introduce two predicates R(x) – (x is red) and S(x) – (x is sweet). Than we can written our facts in formal language:

    1. R('apple')
    2. R(X) -> S(X)

    We can substitute 2nd fact as ¬R v S to be eligible for resolution rule.

    Caluclating resolvents step in your programs delete two opposite facts:

    Examples: 1) a & ¬a -> empty. 2) a('b') & ¬a(x) v s(x) -> S('b')

    Note that in second example variable x substituted with actual value 'b'.

    The goal of our program to determine if sentence apple is sweet is true. We write this sentence also in formal language as S('apple') and ask it in inverted state. Then formal definition of problem is:

    • CLAUSE1 = R('apple')
    • CLAUSE2 = ¬R(X) v S(X)
    • Goal? = ¬S('apple')

    Algorithm works as follows:

    1. Take clause c1 and c2
    2. calculate resolvents for c1 and c2 gives new clause c3 = S('apple')
    3. calculate resolvents for c3 and goal gives us empty set.

    That means our sentence is true. If you can’t get empty set with such resolutions that means sentence is false (but for most cases in practical applications it’s a lack of KB facts).

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