Proof Flashcards

1
Q

Meaning of A ⊨ B

A

A ⊨ B means that B is true in every structure in which A is true.

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2
Q

Meaning of A ⊢ B

A

A ⊢ B means B can be proved using A as the premises.

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3
Q

Soundness

A

If A ⊢ B then A ⊨ B

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4
Q

Completeness

A

If A ⊨ B then A ⊢ B

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5
Q

reductio ad absurdum

A

An assumption is rejected because it leads to a contradiction (an absurdity).

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6
Q

AND introduction

A
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7
Q

AND elimination

A
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8
Q

OR Introduction

A
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9
Q

OR Elimination

A
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10
Q

NOT Introduction

A
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11
Q

NOT Elimination

A
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12
Q

IMPLIES Introduction

A
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13
Q

IMPLIES Elimination

A
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14
Q

Double negation elimination

A
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15
Q

Excluded middle

A

⊢ A ∨ ¬A

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16
Q

Universal Elimination

A
  • We know that for all x the statement p holds.
  • We have a term t that we need to use in our argument.
  • So we know that the statement p holds if we replace x by t everywhere in the statement.
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17
Q

Universal introduction

A
  • We are using x for a completely arbitrary element of the domain, being careful not to assume it has any special properties.
  • We show that x has to have the property stated in the formula p.
  • Because x was arbitrary, we conclude that the formula p must hold for all x.
18
Q

Existential elimination

A
  • We know there is some x with the property stated by p.
  • Let’s introduce a new name, a, for a particular thing with this property.
  • We deduce that some statement, s, (not involving a) must hold by an argument using the assumption that a has propertyp.
  • We conclude that s holds on its own, without the assumption about a having property p.
19
Q

Existential introduction

A
  • We have a statement p about some particular term t.
  • We conclude that there is some x with the property stated by p where we replace t by x.
20
Q

literal

A

A WFF which is either an atom (an atomic proposition) or the negation of an atom.

21
Q

Clause

A

A set of literals.

A clause is used to stand for the disjunction of its elements.
[a, ¬b] refers to both:
- a ∨ ¬b
- ¬b ∨ a

22
Q

Horn clauses

A

Clauses with at most one positive literal.

23
Q

Equivalent clause to false

A

Empty clause
[]

24
Q

Equivalent disjunction to a → b

A

¬a ∨ b

25
Q

Clausal resolution

A

α is an atom
Σ₁ and Σ₂ are clauses

α is called the atom resolved upon.
Σ₁ and Σ₂ is the resolvent.

26
Q

Procedure for reduction to CNF

A
  1. Replace any → by using ¬ A ∨ B instead of A → B
    2.
    - Replace any wff of form ¬¬A by A
    - Replace ¬ ( A ∨ B ) by ¬A ∧ ¬B
    - Replace ¬ ( A ∧ B ) by ¬A ∨ ¬B
    3.
    - Replace A ∨ ( B ∧ C ) by (A ∨ B) ∧ ((A ∨ C)
    - Replace (A ∧ B) ∨ C by (A ∨ C) ∧ ( B ∨ C )
27
Q

Clausal Form

A

We write
( a ∨ b ) ∧ ( c ∨ d ) ∧ ( a ∨ d ∨ e )
in the form
{ [a, b], [c, d], [a, d, e] }

The innermost sets are treated as disjunctions of their elements, the whole is treated as the conjunction of its elements.

28
Q

Equivalent clause to true

A

Empty conjunction
{ }

29
Q

Resolution Refutation Procedure

A

Given a finite set of wffs Δ and a wff f, carry out this procedure:

  1. Convert Δ to CNF, giving a set of clauses, Φ.
  2. Convert the negation of f to CNF giving Ψ.
  3. Let Γ = Φ ∨ Ψ
  4. Iteratively apply resolution to the clauses in Γ adding the resolvents to Γ.

Continue until no more resolution is possible or until the empty clause is a resolvent.

30
Q

Resolution in first-order logic

A
  • Convert knowledge base and negated query to clauses
  • Keep resolving until get empty clause or cannot continue
31
Q

Convert to clausal form: first order case
6 Steps

A
  1. Eliminate
  2. Move ¬ inwards
    - ¬∀x ɑ rewrites to ∃x ¬ɑ
    - ¬∃x ɑ rewrites to ∀x ¬ɑ
  3. Eliminate remaining variables (Skolemization)
  4. Rename variables so v different for each ∀v.
  5. Move s to the front
  6. Distribute ∧ over ∨

Finally, rename variables so different clauses have different variables.

32
Q

Convert to clausal form

Move ¬ inwards

A
  • ¬∀x ɑ rewrites to ∃x ¬ɑ
  • ¬∃x ɑ rewrites to ∀x ¬ɑ
33
Q

Skolemization: idea

for unqualified existential variables

A

Replace ¬∃x P(x) by P(c) where c is a new constant.

∃y ∀x L(x, y) skolemizes to ∀x L(x, c)

34
Q

Skolemization: idea

for qualified existential variables

A

If x₁, ... xₙ are the universally quantified variables with scope including ∃x ɑ, then replace all the occurrences of x in ∃x ɑ by f(x₁, ... xₙ) where f is a new function symbol.

∀x ∃y L(x, y) skolemizes to ∀x L(x, f(x))

35
Q

Does skolemization preserve logical equivalence?

A

No. ∃x P(x) is not logically equivalent to P(c).

Skolemization preserves satisfiability. All we need is to preserve satisfiability for refutation completeness.

36
Q

Substitution

A

A finite set of pairs {x₁/t₁, ... xₙ/tₙ} where the xᵢ are distinct variables ant the tᵢ are arbitrary terms.

If θ is a substitution and is a literal, then θ⍴ is the literal that results from simultaneously replacing each xᵢ in by tᵢ.

37
Q

Instance

A

is an instance of ⍴' if for some θ, we have θ⍴' =

38
Q

Most general unifier

A

θ is an MGU of c₁ and c₂
iff
for any other unifier θ₁ of c₁ and c₂,
then there exists θ₂ such that θ₁=θ₂θ

MGUs are not necessarily unique.

39
Q

MGU algorithm

A

To find MGU of ⍴₁ and ⍴₂

  1. Start with θ={}
  2. Exit if ⍴₁ = ⍴₂
  3. Otherwise get the disagreement set, DS, which is the pair of terms at the first place where the terms disagree.
  4. Find var v∈DS, & term t∈DS not containing v. If not, fail.
  5. Otherwise set θ to {v/t} θ and ⍴ᵢ to {v/t} ⍴ᵢ. Go to step 2.
40
Q

2 Reasons the MGU Algorithm might fail

A
  • Clash. A constant variable cannot be changed by any substitution.
  • Cyclic. Cannot find v, t, ∈ DS where v does not occur in t.
41
Q

Factoring

A

Given c₁ ∪ c₂ where |c₂|>1 and θ is an MGU of c₂.

Infer θ(c₁ ∪ c₂)

From [Likes(sam, x), Likes(y, bananas)] Infer [Likes(sam, bananas)]