computational logic
play

Computational Logic Standardization of Interpretations Damiano - PowerPoint PPT Presentation

Computational Logic Standardization of Interpretations Damiano Zanardini UPM European Master in Computational Logic (EMCL) School of Computer Science Technical University of Madrid damiano@fi.upm.es Academic Year 2009/2010 D. Zanardini (


  1. Computational Logic Standardization of Interpretations Damiano Zanardini UPM European Master in Computational Logic (EMCL) School of Computer Science Technical University of Madrid damiano@fi.upm.es Academic Year 2009/2010 D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 1 / 1

  2. Satisfiability and Interpretationsp The problem F is unsatisfiable iff there is no interpretation I such that I ( F ) = t in order to check this, we should consider all models : if F is propositional with n different propositions, then there are 2 n models in a first order formula, the number of interpretations can be uncountable! it would be useful to have a subset of interpretations of F such that it contains a smaller (finite or countable) number of interpretations analyzing it is enough in order to decide the satisfiability of F such interpretations exist for every formula, and are called Herbrand interpretations D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 2 / 1

  3. Satisfiability and Interpretationsp Jacques Herbrand (Paris, France, February 12, 1908 - La B´ erarde, Is` ere, France, July 27, 1931) PhD at ´ Ecole Normale Superieure, Paris, in 1929 joined the army in October 1929 H. universe , H. base , H. interpretation , H. structure , H. quotient Herbrand’s Theorem : actually, two different results have this name introduced the notion of recursive function worked with John von Neumann and Emmy Noether died falling from a mountain in the Alps while climbing D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 2 / 1

  4. Satisfiability and Interpretationsp Jacques Herbrand (Paris, France, February 12, 1908 - La B´ erarde, Is` ere, France, July 27, 1931) PhD at ´ Ecole Normale Superieure, Paris, in 1929 joined the army in October 1929 H. universe , H. base , H. interpretation , H. structure , H. quotient Herbrand’s Theorem : actually, two different results have this name introduced the notion of recursive function worked with John von Neumann and Emmy Noether died falling from a mountain in the Alps while climbing not exactly like him... D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 2 / 1

  5. Herbrand Universep Herbrand universe H ( F ) of a formula F determines the domain of interpretation of F for Herbrand interpretations consists of all terms which can be formed with the constants and functions occurring in F Herbrand universe: definition Const ( F ) = set of constant symbols in F Fun ( F ) = set of function symbols in F � Const ( F ) if Const ( F ) � = ∅ H 0 = { a } if Const ( F ) = ∅ H i +1 = { f ( t 1 , .., t n ) | t j ∈ ( H 0 ∪ .. ∪ H i ) , f / n ∈ Fun ( F ) } H ( F ) = H 0 ∪ .. ∪ H i ∪ .. is the Herbrand universe D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 3 / 1

  6. Herbrand Universep Herbrand universe: examples F = { p ( x ) , q ( y ) } H 0 = { a } H 1 = H 2 = .. = ∅ H ( F ) = { a } F = { p ( x , a ) , q ( y ) ∨ ¬ r ( b , f ( x )) } H 0 = { a , b } H 1 = { f ( a ) , f ( b ) } H 2 = { f ( f ( a )) , f ( f ( b )) } . . . H ( F ) = { a , b , f ( a ) , f ( b ) , f ( f ( a )) , f ( f ( b )) , f ( f ( f ( a ))) , f ( f ( f ( b ))) , .. } = { f n ( a ) , f n ( b ) } n ≥ 0 D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 3 / 1

  7. Herbrand Basep Herbrand base of F ground atom : an atom which is obtained by applying a predicate symbol of F to terms from the Herbrand universe of F the Herbrand base of F is the set of all the possible ground atoms of F Herbrand base: definition Pred ( F ) is the set of predicate symbols in F HB ( F ) = { p ( t 1 , .., t n ) | t j ∈ H ( F ) , p / n ∈ Pred ( F ) } D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 4 / 1

  8. Herbrand Basep Herbrand base: examples F = { p ( x ) , q ( y ) } H ( F ) = { a } HB ( F ) = { p ( a ) , q ( a ) } F = { p ( a ) , q ( y ) ∨ ¬ p ( f ( x )) } H ( F ) = { a , f ( a ) , f ( f ( a )) , .. } = { f n ( a ) } n ≥ 0 HB ( F ) = { p ( a ) , p ( f ( a )) , p ( f ( f ( a ))) , .., q ( a ) , q ( f ( a )) , q ( f ( f ( a ))) , .. } = ∪ ( {{ p ( t ) , q ( t ) }| t ∈ H ( f ) } ) F = { p ( a ) , q ( y ) ∨ ¬ r ( b , f ( x )) } H ( F ) = { a , b , f ( a ) , f ( b ) , f ( f ( a )) , f ( f ( b )) , .. } = { f n ( a ) , f n ( b ) } n ≥ 0 HB ( F ) = ∪ ( {{ p ( t ) , q ( t ) , r ( t , t ′ ) }| t , t ′ ∈ H ( F ) } ) D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 4 / 1

  9. Herbrand Interpretationsp An Herbrand interpretation of F is an interpretation I H = ( H ( F ) , I H ) on H ( F ) such that: every constant a ∈ Const ( F ) is assigned to itself: I H ( a ) = a every function symbol f / n ∈ Fun ( F ) is assigned to I H ( f / n ) = F : ( H ( F )) n �→ H ( F ), such that F ( u 1 , .., u n ) = f ( u 1 , .., u n ) ∈ H ( F ) where u i ∈ H ( F ) every predicate symbol p / n ∈ Pred ( F ) is assigned as I H ( p / n ) = P : ( H ( F )) n �→ { t , f } , such that I H ( p ( u 1 , .., u n )) = P ( I H ( u 1 ) , .., I H ( u n )) = P ( u 1 , .., u n ) ∈ { t , f } ☞ every (ground) atom of HB ( F ) has a truth value. Which one? It is not required by the definition, every interpretation decides D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

  10. Herbrand Interpretationsp Herbrand interpretations: notation An Herbrand interpretation can be represented as the set of ground atoms in HB ( F ): positive if they are interpreted as true, negative otherwise { A 1 , A 2 , A 3 , .. } HB ( F ) = I H { A 1 , ¬ A 2 , ¬ A 3 , .. } = if I H ( A 1 ) = t , I H ( A 2 ) = f , I H ( A 3 ) = f , .. Terminology the notions of Herbrand universe, base, and interpretations will often refer to a set of clauses , written as C , which can be actually the result of the standardization of a generic formula F in practice, F will be usually taken to be in clause form because we (computational logicians) are smarter than formal logicians? D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

  11. Herbrand Interpretationsp Herbrand interpretations: examples F = { p ( x ) , q ( y ) } H ( F ) = { a } , HB ( F ) = { p ( a ) , q ( a ) } there are 4 possible Herbrand interpretations: I 1 I 2 = { p ( a ) , q ( a ) } = { p ( a ) , ¬ q ( a ) } H H I 3 I 4 = {¬ p ( a ) , q ( a ) } = {¬ p ( a ) , ¬ q ( a ) } H H F = { p ( a ) , q ( y ) ∨ ¬ p ( f ( x )) } H ( F ) = { f n ( a ) } n ≥ 0 , HB ( F ) = ∪ ( {{ p ( t ) , q ( t ) }| t ∈ H ( F ) } ) there are an infinite (how many?) number of Herbrand interpretations I 1 ∪ ( {{ p ( t ) , q ( t ) } | t ∈ H ( F ) } ) = H I 2 { p ( a ) } ∪ {¬ p ( t ) | t ∈ H ( F ) \ { a }} ∪ { q ( t ) | t ∈ H ( F ) } = H I 3 { p ( t ) | t ∈ H ( F ) } ∪ {¬ q ( t ) | t ∈ H ( F ) } = . . . H D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

  12. Herbrand Interpretationsp Ground instances A ground instance of a clause is a formula, in clause form, which results from replacing the variables of the clause by terms from its Herbrand universe by means of an Herbrand interpretation, it is possible to give a truth value to a formula starting from the truth value of its ground instances Example: F = { p ( a ) , q ( b ) ∨ ¬ p ( x ) } H ( F ) = { a , b } HB ( F ) = { p ( a ) , p ( b ) , q ( a ) , q ( b ) } I H = { p ( a ) , ¬ p ( b ) , q ( a ) , ¬ q ( b ) } the first clause is true since its only instance, p ( a ), is true in I H the second clause is false since one instance, q ( b ) ∨ ¬ p ( b ), is true in I H , but the other, q ( b ) ∨ ¬ p ( a ), is false since F is the conjunction of both clauses, it is false for I H (we’ll see why) D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

  13. Herbrand Interpretationsp I H corresponding to I Given I = ( D , I ), an Herbrand interpretation I H = ( D H , I H ) corresponds to I for F if it satisfies the following condition: I ′ is a total mapping from H ( F ) to D , such that I ′ ( c ) = d if I ( c ) = d (constants) I ′ ( f ( t 1 , .., t n )) = F ( I ′ ( t 1 ) , .., I ′ ( t n )) where I ( f / n ) = F / n for every ground atom p ( t 1 , .., t n ) ∈ HB ( F ), I H ( p ( t 1 , .., t n )) = t (resp., f ) if I ( p )( I ′ ( t 1 ) , .., I ′ ( t n )) = t (resp., f ) ☞ this definition may look overly complicated, but simpler ones can be imprecise... let h 1 , .., h n be elements of H ( F ) let every h i be mapped to some d i ∈ D if p ( d 1 , .., d n ) is assigned t (resp., f ) by I , then p ( h 1 , .., h n ) is also assigned t (resp., f ) by I H [Chang and Lee. Symbolic Logic and Mechanical Theorem Proving] D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

  14. Herbrand Interpretationsp Example: F = { p ( x ) , q ( y , f ( y , a )) } , D = { 1 , 2 } I ( a ) = 2 I ( f / 2) = F / 2: F (1 , 1) = 1 F (1 , 2) = 1 F (2 , 1) = 2 F (2 , 2) = 1 I ( p / 1) = P / 1: P (1) = t P (2) = f I ( q / 2) = Q / 2: Q (1 , 1) = f Q (1 , 2) = t Q (2 , 1) = f Q (2 , 2) = t In this case, I ′ comes to be the same as I (on H ( F )) I H ( p ( a )) = I ( p ( a )) = P ( I ( a )) = P (2) = f I H ( q ( a , a )) = I ( q ( a , a )) = Q ( I ( a ) , I ( a )) = Q (2 , 2) = t I H ( p ( f ( a , a ))) = I ( p ( f ( a , a ))) = P ( F (2 , 2)) = P (1) = t . . . D. Zanardini ( damiano@fi.upm.es ) Computational Logic Ac. Year 2009/2010 5 / 1

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend