complexity of model checking for cardinality based belief
play

Complexity of Model Checking for Cardinality-based Belief Revision - PowerPoint PPT Presentation

Complexity of Model Checking for Cardinality-based Belief Revision Operators Nadia Creignou 1 Raida Ktari 2 Odile Papini 1 1 Aix-Marseille Universit, CNRS, LIF , LSIS, Marseille, France 2 University of Sfax, ISIMS, Sfax, Tunisia ECSQARU 2017


  1. Complexity of Model Checking for Cardinality-based Belief Revision Operators Nadia Creignou 1 Raida Ktari 2 Odile Papini 1 1 Aix-Marseille Université, CNRS, LIF , LSIS, Marseille, France 2 University of Sfax, ISIMS, Sfax, Tunisia ECSQARU 2017 Complexity of Model Checking July 2017 1 / 20

  2. Introduction Belief revision, principles: ◮ Success ◮ Consistency ◮ Minimality of change Two main approaches for belief revision: ◮ Semantic: models based. ◮ Syntactic: formulas based Given B a belief base (finite set of formulas), µ new information (a formula), B ∗ µ is the revised belief base. based on maximal subbases B consistent with µ . ECSQARU 2017 Complexity of Model Checking July 2017 2 / 20

  3. Main objectives Presentation of different syntactic revision operators within a unified framework Introduction of two new cardinality-based operators Comparative study of the complexity of model checking for these operators, in different fragments of propositional logic. ECSQARU 2017 Complexity of Model Checking July 2017 3 / 20

  4. Overview Definition of syntactic belief revision operators 1 Complexity of Model Checking 2 Conclusion and perspectives 3 ECSQARU 2017 Complexity of Model Checking July 2017 4 / 20

  5. Syntactic Belief Revision operators B ∗ µ stems from W ( B , µ ) the set of maximal subbsases of B consistent with µ . Maximality criteria for consistent belief subbases: ◮ set inclusion/ cardinality. Strategies for exploiting the maximal consistent belief subbases: ◮ (G) : all maximal subbases are equally plausible, ( B ′ ∪ { µ } ) � � B ∗ G µ = B ′ ∈W ( B ,µ ) ◮ (W) : “when in doubt, throw it out” (widtio), keep only beliefs that are not questioned ( B ′ ∪ { µ } ) � � B ∗ W µ = B ′ ∈W ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 5 / 20

  6. Set-inclusion as maximality criterion subbases of B consistent with µ maximal w.r.t. set inclusion W ⊆ ( B , µ ) = { B 1 ⊆ B | � B 1 �| = ¬ µ and for all B 2 such that B 1 ⊂ B 2 ⊆ B , � B 2 | = ¬ µ } Ginsberg operator ∗ G and Widtio operator ∗ wid ( B ′ ∪ { µ } ) � � B ∗ G µ = B ′ ∈W ⊆ ( B ,µ ) ( B ′ ∪ { µ } ) � � B ∗ widtio µ = B ′ ∈W ⊆ ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 6 / 20

  7. Example B = { a → ¬ b , b , b → c , c → ¬ a , b → d , d → ¬ a , ¬ d → c } and µ = a . W ⊆ ( B , µ ) = {{ a → ¬ b , b → c , c → ¬ a , b → d , d → ¬ a } , { a → ¬ b , b → c , c → ¬ a , b → d , ¬ d → c } , { a → ¬ b , b → c , b → d , d → ¬ a , ¬ d → c } , { b , b → c , b → d , ¬ d → c } , { b , c → ¬ a , b → d , ¬ d → c } , { b , b → c , d → ¬ a , ¬ d → c } , { b , c → ¬ a , d → ¬ a }} ( B ′ ∪ { µ } ) ≡ a ∧ ( b → c ) � � B ∗ G µ = B ′ ∈W ⊆ ( B ,µ ) ( B ′ ∪ { µ } ) ≡ a � � B ∗ Widtio µ = B ′ ∈W ⊆ ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 7 / 20

  8. Cardinality as maximality criterion RSR stands for Removed Sets Revision subbases of B consistent with µ maximal w.r.t. cardinality W card ( B , µ ) = { B 1 ⊆ B | � B 1 �| = ¬ µ and for all B 2 ⊆ B such that | B 1 | < | B 2 | , � B 2 | = ¬ µ } RSRG operator ∗ RSRG and RSRW operator ∗ RSRW ( B ′ ∪ { µ } ) � � B ∗ RSRG µ = B ′ ∈W card ( B ,µ ) ( B ′ ∪ { µ } ) � � B ∗ RSRW µ = B ′ ∈W card ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 8 / 20

  9. Example B = { a → ¬ b , b , b → c , c → ¬ a , b → d , d → ¬ a , ¬ d → c } , and µ = a . W card ( B , µ ) = {{ a → ¬ b , b → c , c → ¬ a , b → d , d → ¬ a } , { a → ¬ b , b → c , c → ¬ a , b → d , ¬ d → c } , { a → ¬ b , b → c , b → d , d → ¬ a , ¬ d → c }} ( B ′ ∪ { µ } ) ≡ a ∧ ¬ b ∧ ( c → ¬ d ) � � B ∗ RSRG µ = B ′ ∈W card ( B ,µ ) ( B ′ ∪ { µ } ) ≡ a ∧ ¬ b � � B ∗ RSRW µ = B ′ ∈W card ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 9 / 20

  10. Extension to stratified belief bases B = ( S 1 , ..., S n ) X ⊆ B , trace ( X , B ) = ( | X ∩ S 1 | , ..., | X ∩ S n | ) . maximality w.r.t. lexicographic order ≤ lex W cardlex ( B , µ ) = { B 1 ⊆ B | � B 1 �| = ¬ µ and for all B 2 ⊆ B s. t. trace ( B 1 , B ) < lex trace ( B 2 , B ) , � B 2 | = ¬ µ } . PRSRG operator ∗ RSRG and PRSRW operator ∗ RSRW ( B ′ ∪ { µ } ) � � B ∗ PRSRG µ = B ′ ∈W cardlex ( B ,µ ) ( B ′ ∪ { µ } ) . � � B ∗ PRSRW µ = B ′ ∈W cardlex ( B ,µ ) ECSQARU 2017 Complexity of Model Checking July 2017 10 / 20

  11. The operators we consider Strategy maximality criterion set inclusion cardinality cardlex G Ginsberg ( ∗ G ) RSRG ( ∗ RSRG ) PRSRG ( ∗ PRSRG ) W Widtio ( ∗ Widtio ) RSRW ( ∗ RSRW ) PRSRW ( ∗ PRSRW ) ECSQARU 2017 Complexity of Model Checking July 2017 11 / 20

  12. The problem of Model Checking Problem : M ODEL -C HECKING ( ∗ ) Instance : B a belief base, µ a formula, m an interpretation Question : m | = B ∗ µ ? The complexity of inference studied by Nebel (1991), Eiter and Gottlob (1992), Nebel (1998), Cayrol et al. (1998). The complexity of Model Checking initiated in Liberatore and Schaerf (2001) , for operators based on a set-inclusion maximality criterion. ECSQARU 2017 Complexity of Model Checking July 2017 12 / 20

  13. Complexity of M ODEL -C HECKING ( ∗ ) for the G -strategy Problem Propositional Logic Horn M ODEL -C HECKING ( ∗ G ) coNP -complete P M ODEL -C HECKING ( ∗ RSRG ) coNP -complete coNP -complete M ODEL -C HECKING ( ∗ PRSRG ) coNP -complete coNP -complete Idea of proof: M AX -I NDEPENDENT -S ET reduces to the complementary of M ODEL -C HECKING ( ∗ RSRG ) ECSQARU 2017 Complexity of Model Checking July 2017 13 / 20

  14. Complexity of M ODEL -C HECKING ( ∗ ) for the W -strategy Problem Propositional Logic Horn M ODEL -C HECKING ( ∗ Widtio ) Σ 2 P -complete NP -complete M ODEL -C HECKING ( ∗ RSRW ) Θ 2 P -complete Θ 2 P -complete M ODEL -C HECKING ( ∗ PRSRW ) in ∆ 2 P , Θ 2 P -hard in ∆ 2 P , Θ 2 P -hard ECSQARU 2017 Complexity of Model Checking July 2017 14 / 20

  15. M ODEL -C HECKING ( ∗ Widtio ) is NP -complete in the Horn fragment Membership: to prove that m | = B ∗ Widtio µ , for every α ∈ B such = α , guess B ′ α ⊆ B such that B ′ that m �| α ∪ { µ } is consistent and B ′ α ∪ { µ } ∪ { α } is inconsistent. Hardness: Problem : PQ-A BDUCTION Instance : a Horn formula ϕ , a set of variables A = { x 1 , ..., x n } such that A ⊆ Var ( ϕ ) and a variable q ∈ Var ( ϕ ) \ A . Does there exist a set E ⊆ Lit ( A ) such that ϕ ∧ � E Question : is satisfiable and ϕ ∧ � E ∧ ¬ q is unsatisfiable? ◮ PQ-A BDUCTION is NP -complete (Creignou and Zanuttini, 2006) ◮ PQ-A BDUCTION ≤ M ODEL -C HECKING ( ∗ Widtio ) when restricted to Horn formulas ECSQARU 2017 Complexity of Model Checking July 2017 15 / 20

  16. Complexity of M ODEL -C HECKING ( ∗ ) for the W -strategy Problem Propositional Logic Horn M ODEL -C HECKING ( ∗ Widtio ) Σ 2 P -complete NP -complete M ODEL -C HECKING ( ∗ RSRW ) Θ 2 P -complete Θ 2 P -complete M ODEL -C HECKING ( ∗ PRSRW ) in ∆ 2 P , Θ 2 P -hard in ∆ 2 P , Θ 2 P -hard ECSQARU 2017 Complexity of Model Checking July 2017 16 / 20

  17. M ODEL -C HECKING ( ∗ RSRW ) is Θ 2 P-complete Idea of proof: Membership kmax : the maximal cardinality of subsets of B consistent with µ . ◮ Check that m | = µ ⋆ else, we have m �| = B ∗ RSRW µ . ◮ Compute kmax (logarithmic number of calls to an NP-oracle). ◮ For every α ∈ B such that m �| = α , does there exist B ′ α ⊆ B \ { α } consistent with µ such that | B ′ α | = kmax ? ⋆ if yes, m | = B ∗ RSRW µ . ⋆ else, m �| = B ∗ RSRW µ . Hardness: C ARD M IN S AT ≤ M ODEL -C HECKING ( ∗ RSRW ). ECSQARU 2017 Complexity of Model Checking July 2017 17 / 20

  18. Summary of the results Operator Propositional logic Horn Ginsberg coNP -complete P Σ 2 P -complete Widtio NP -complete RSRG coNP -complete coNP -complete RSRW Θ 2 P -complete Θ 2 P -complete PRSRG coNP -complete coNP -complete PRSRW in ∆ 2 P , Θ 2 P -hard in ∆ 2 P , Θ 2 P -hard ECSQARU 2017 Complexity of Model Checking July 2017 18 / 20

  19. Contribution and future work Syntactic belief revision operators presented within a unified framework Introduction of new operators based on maximal cardinality, ∗ RSRG , ∗ RSRW , ∗ PRSRG , ∗ PRSRW . Comparative study of the complexity of Model Checking in PL, as well as in Horn. Extend this study to other belief base revision strategies. Study the complexity of the inference problem for ∗ RSRG , ∗ RSRW , ∗ PRSRG , ∗ PRSRW . ECSQARU 2017 Complexity of Model Checking July 2017 19 / 20

  20. Contribution and future work Syntactic belief revision operators presented within a unified framework Introduction of new operators based on maximal cardinality, ∗ RSRG , ∗ RSRW , ∗ PRSRG , ∗ PRSRW . Comparative study of the complexity of Model Checking in PL, as well as in Horn. Extend this study to other belief base revision strategies. Study the complexity of the inference problem for ∗ RSRG , ∗ RSRW , ∗ PRSRG , ∗ PRSRW . ECSQARU 2017 Complexity of Model Checking July 2017 19 / 20

  21. Thank you for your attention! ECSQARU 2017 Complexity of Model Checking July 2017 20 / 20

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