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Chaining in First Order Logic

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SUBST(COMPOSE(?1, ?2), p) = SUBST(?2, SUBST(?1, p)) 12. Backward Chaining Example. 13 ... A DFS algorithm. Linear time. Repeated states and incompleteness ... – PowerPoint PPT presentation

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Title: Chaining in First Order Logic


1
Chaining in First Order Logic
  • CS 171/271
  • (Chapter 9, continued)
  • Some text and images in these slides were drawn
    fromRussel Norvigs published material

2
Forward Chaining
  • Forward Chaining in PL extends to FOL
  • A similar restriction applies to the KB
  • Implications
  • Atomic sentences
  • KB can contain quantifiers
  • Apply EI for existentially quantified sentences
  • Allow variables for universally quantified
    sentences (omit quantifier in such sentences)

3
Knowledge Base Example
  • The law says that it is a crime for an American
    to sell weapons to hostile nations. The country
    Nono, an enemy of America, has some missiles, and
    all of its missiles were sold to it by Colonel
    West, who is American.
  • Prove that Colonel West is a criminal

4
Knowledge Base Example
  • ... it is a crime for an American to sell weapons
    to hostile nations
  • American(x) ? Weapon(y) ? Sells(x,y,z) ?
    Hostile(z) ? Criminal(x)
  • Nono has some missiles, i.e., ?x Owns(Nono,x) ?
    Missile(x)
  • Owns(Nono,M1) and Missile(M1)
  • all of its missiles were sold to it by Colonel
    West
  • Missile(x) ? Owns(Nono,x) ? Sells(West,x,Nono)
  • Missiles are weapons
  • Missile(x) ? Weapon(x)
  • An enemy of America counts as "hostile
  • Enemy(x,America) ? Hostile(x)
  • West, who is American
  • American(West)
  • The country Nono, an enemy of America
  • Enemy(Nono,America)

5
Forward Chaining Algorithm
6
Forward Chaining Example
7
Forward Chaining Example
Missile(x) ? Weapon(x)
Enemy(x,America) ? Hostile(x)
Missile(x) ? Owns(Nono,x) ? Sells(West,x,Nono)
8
Forward Chaining Example
  • American(x) ? Weapon(y) ? Sells(x,y,z) ?
    Hostile(z) ? Criminal(x)

9
About Forward Chaining
  • Matching rules against known facts
  • Incremental forward chaining
  • Irrelevant facts

10
Backward Chaining
  • Begin with goal (query)
  • Recursively build a set of substitutions that
    satisfy the premises necessary to conclude goal

11
Backward Chaining Algorithm
  • SUBST(COMPOSE(?1, ?2), p) SUBST(?2, SUBST(?1,
    p))

12
Backward Chaining Example
13
Backward Chaining Example
14
Backward Chaining Example
15
Backward Chaining Example
16
Backward Chaining Example
17
Backward Chaining Example
18
Backward Chaining Example
19
Backward Chaining Example
20
About Backward Chaining
  • Uses composition of substitutions
  • A DFS algorithm
  • Linear time
  • Repeated states and incompleteness
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