1 / 50

CHORD Semantics

CHORD Semantics. January , 2007. F-Atoms. User Defined Constraint A::B A[B->C], A[B=>C] A[B(V)->C], A[B(P:T0)=>T1] Built-in Constraint 1 : Integer, “abc” : String Integer :: Double 1[toString()->”1”] False, true, e unification of F-Atoms. Monotonic OO Semantics. General Rules:

geneva
Download Presentation

CHORD Semantics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CHORD Semantics January, 2007

  2. F-Atoms • User Defined Constraint • A::B • A[B->C], A[B=>C] • A[B(V)->C], A[B(P:T0)=>T1] • Built-in Constraint • 1 : Integer, “abc” : String • Integer :: Double • 1[toString()->”1”] • False, true, e unification of F-Atoms • ...

  3. Monotonic OO Semantics General Rules:    X::Y, Y::Z ==> X::Z. sub(X,Y), sub(Y,Z) ==> sub(X,Z)    X::Y, Y[M=>T] ==> X[M=>T].    X[M=>T] ==> X[M->V].    X[M=>T], X[M->V] ==> V::T.    X[M->V1], X[M->V2] ==> V1 = V2. X[M(V)->R], X[M(P:T0)=>T1) ==> V:T0, R:T1. X[M(V)->R]  op1(X, M, V, R) vop1(X,M,V,R), sop1(X,M,P,T0,T1) ==> isa(V,T0), isa(R,T1) Simple Inheritance: X::Y, X::Z ==> Y = Z.

  4. Non-MonotonicOO Semantics(Overriding & Multiple Inheritance)

  5. CHR Semantics x Open World Assumption • Notation • ConstraintStore = Set(Constraint) • Program = Set(Rule) • i = initial constraint store • p = current program

  6. CHR Semantics x Open World Assumption • R : ConstraintStore x Program xConstraintStore • Reachable predicate • R(cs, p) = some constraint store reachable from cs by iteratively applying the rules from p • I : ConstraintStore x Program x Constraint  { t, f, u} • Interpretation function • Computes the “truth-value” of a constraint given some initial constraint store and set of rules • t, the constraint can be proved true • f, the constraint can be proved false • u, the constraint can’t be proved neither true nor false

  7. CHR Semantics x Open World Assumption • cs (c  s  s  R(i,p)  I(c,i,p) = t) • Everything appearing in some reachable state is true • Monotonicity assumption of rules!! • All simplification rules to be interpreted as logical equivalences • If non-monotonic assumption what is the semantics of the constraints of the final store • cs (I(c,i,p) = u  c  s  s  R(i,p)) • Every undefined constraint does not appear in any reachable state • c s (I(c,i,p) = f  c  s  s  R(i,p)  false  R(ic,p)) • Every false constraint causes a failed final state when added to some constraint store

  8. CHR Semantics x Open World Assumption • Remarks • We can’t reason directly about negative or undefined facts in CHR • The set of positive facts is partially observable • We can prove some fact to be false by finding a proof for its negation (Reductio Ad Absurdum)

  9. Clark completion + integrity constraints + Abdennadher(Prolog->CHRD) = cover all usages of NAF in Prolog ??? (at least for stratified programs) • Check if yang’s translation requires recursion through NAF

  10. OO Inheritance in OWA

  11. Closed World Semantics c1 :: c2, c2[m->b] true  c1 :: c2, c2[m->b], c1[m->b] false  c1 :: c3, c3 :: c2 ... undefined 

  12. Open World Semantics c1 :: c2, c2[m->b] true X (c1[m->X]), c1 :: c2, c2[m->b] false  c2 :: c1, c2[m->c1], ... unknown  c1[m->b], c1 :: c3, c3 :: c2, ...

  13. Overriding in OWA (1st Version) X::Y, Y[M->>V] ==> X[M->>V1] • Problems: • Too limited • Unnatural • Solution • Use CWA locally for overriding missing facts • if obtained facts do not contradict known facts • Is this abduction?

  14. Locally Closed OO Semantics for CHORD Default Taxonomy Completion

  15. Local Inheritance Context • Definition: • a :: b, b[m->d] • b[m->d]/a

  16. Local Overriding Inheritance Context • Proposal: • Change the semantics from: • a :: b  b[m->d] (1) • To: • a :: b  b[m->d]  X,Y( a::X  X::b  X[m->Y]) (2) • In this case we can inherit: • a[m->d] (3) • If it comes directly from b • If (2) is consistent with the current constraint store and program rules we say that (1) is a Consistent Overriding Local Inheritance Context

  17. Not all Local Overriding Inheritance Contexts are consistent...

  18. c1[m->a] ==> c1::c3. GOAL: c1::c2, c3::c2, c2[m->a], c3[m->b] c1::c2, c2[m->a] is a local overriding inheritance context! c1[m->a]/c2 is NOT a consistent local overridinginheritance context because X,Y( c1::X  X::c2  X[m->Y]) is false for X = c3, Y = b

  19. Proposal Constraint Store Local Inheritance Contexts The final stores considers just the consistentlocal overriding inheritance contexts Use backtracking to find the consistentlocal inheritance contexts

  20. Important There’s no negation in CHR so: It’s not possible to directly prove anything like: X,Y( a::X  X::b  X[m->Y]) BUT we can look for a counterexample.

  21. Overriding in OWA (2nd Version) /1 X::Y, Y[M->V] ==> X[M->V1], ((V=V1, X[M->V1]/Y) ; true) X[M->V1]/Y = Lc(X,M,V1,Y) 1st option: Suppose I’m consistent and the value of V can be directly inherited 2nd option: Maybe I’m not consistent

  22. iswc2006.semanticweb.org/items/Motik2006bh.pdf

  23. Overriding in OWA (2nd Version) /2 X[M->V]/Y, X::C, C::Y, C[M->Vx] ==> false. Is there any provable counterexample? Backtrack.

  24. http://www.modelsconference.org/ • Abstract submission deadline: May 2, 2008 • CHORD Semantic assumptions for MDA modeling and Semantic Web • Fazer essa idéia em Fluent Calculus ante de se preocupr com traduçãopra CHR

  25. Multiple Inheritance

  26. Local Source Based Multiple Inheritance Context Avoid • Proposal: • Change the semantics from: • a :: b  b[m->d] (1) • To: • a :: b  b[m->d] X,Y,T( b≠X  a::X  b::X  X::b (X[m->Y]X[m=>T])) (2) • Avoid double negation! • In this case we can inherit: • a[m->d] (3) • If no other unrelated superclass defines m (for any value) • If (2) is consistent with the current constraint store and program rules we say that (1) is a Consistent Local Source Based Multiple Inheritance Context

  27. Local Value Based Multiple Inheritance Context • Proposal: • Change the semantics from: • a :: b  b[m->d] (1) • To: • a :: b  b[m->d] X,Y,T( b≠X  a::X  b::X  X::b  X[m->Y]  Y ≠ d) (2) • In this case we can inherit: • a[m->d] (3) • If no other unrelated superclass defines m to be d • If (2) is consistent with the current constraint store and program rules we say that (1) is a Consistent Local Value Based Multiple Inheritance Context

  28. Catalogo das suposições semanticas (motik & colins student • Ver combinações coerentes • Fazer FC semantics de cada combinação • Escolher a combinação que corresdponda (mais perto) UML/OCL e fazer regras de traduçção pra CHR • Verificar com FLUX que a tradução é conforme à semantica

  29. Multiple Inheritance in OWA • We can’t do this change only by the means of extra rules: • We can’t prove negative constraints likeX,Y,T( b≠X  a::X  b::X  X::b (X[m->Y]X[m=>T]))) • We can’t find a counterexample for it • We would need to prove “X::b” • We need to change the default semantics of CHR

  30. Possible Solutions • Adopt a less restrictive multiple inheritance semantics • Extend CHR semantics to handle negation

  31. Less Restrictive Multiple Inheritance Semantics

  32. Proposal • We do not need extra rules to handle multiple inheritance. Ex: a::b, a::c, b[m->2], b[m->3] • This constraint store is false, because we are going to inherit a[m->2] and a[m->3] for a • This is a similar approach to current programming languages supporting multiple inhertance (e. g. C++) • Multiple inheritance conflicts cause compilation or runtime errors.

  33. Changing default CHR semantics

  34. Source Based Multiple inheritance in OWA X[M->V]/Y, X::C, C::Y, Y::C, C[M->Vx] ==> YC | false. X[M->V]/Y, X::C, C::Y, Y::C, C[M=>T] ==> YC | false. Is there any provable counterexample? Backtrack.

  35. Value Based Multiple inheritance in OWA X[M->V]/Y, X::C, C::Y, Y::C, C[M->V] ==> YC | false. Is there any provable counterexample? Backtrack.

  36. CHRD¬

  37. Negation as Absense • Extending CHR with negation as Absence [Schrijvers et al 2006] • p \\ q ==> r • If p is present and q is absent, then add r • Conclusion • Lost declarativity • Lost theoretical properties • Non-logical negation • We need logical negation!

  38. Negation in Integrity Constraints + Abduction • An Experimental CLP Platform for Integrity Constraints and Abduction [Abdennadher, 2000] • For each predicate p, generate an abducible predicate p characterized by the integrity constraint: • p, p ==> false

  39. Negation in Integrity Constraints + Abduction • Conclusion • Doesn’t properly handle negation in rule head • p may be true even if there’s no “p” in the constraint store a ==> false p ==> a b, p ==> c d, c ==> t Initial store: b, d “t” is true, however Abdennadher can’t prove it

  40. My Proposal • For each user defined constraint p • allow the constraint p having the same arity • add the following integrity constraint • p(X), p(Y) ==> X = Y | false • Change rule head matching semantics

  41. New rule semantics • p0, ..., pn ==> g | b • If • “p0,...,pk” match some constraint set in the current constraint store • At least one constraint in the rule head must be on the constraint store (avoids trivial non termination) • Adding “(pk+1 ; ... ; pn)” to current constraint store doesn’t lead to a failed state • Guard holds • Then • Add bodyto the current constraint store

  42. Remarks • This approach • adds logical negation to CHR • Generalizes the semantics of CHR rule matching • CHRD: rule fires if there’s a set of matching constraints on the constraint store • CHRD : rule fires if there is a proof for the existence of matching constraints for the rule head • Looking for matching constraints is still proving them • Adding “(r  s)” to current constraint store means: • T  (r  s ) |=  • T |= (r  s )   • T |= (r  s ) • T |= r  s

  43. Example R1 @ p ==> false R2 @ b, p ==> c R3 @ d, c ==> t Initial store: b, d

  44. Example – Extended Program R1 @ p ==> false R2 @ b, p ==> c R3 @ d, c ==> t E1 @ b, b ==> false E2 @ c, c ==> false E3 @ d, d ==> false E4 @ p, p ==> false

  45. Example – Execution R1 @ p ==> false R2 @ b, p ==> c R3 @ d, c ==> t E1 @ b, b ==> false E2 @ c, c ==> false E3 @ d, d ==> false E4 @ p, p ==> false + Store: b, d + Rule try: R3, (trying: c) ++ Store: b, d, c ++ Rule try: R2 (trying: p) +++ Store: b, d, c, p +++ Rule: R1 – failed state, backtrack ++ Store: b, d, c, c ++ Rule: E2 – failed state, backtrack + Store: b, d, t

  46. Example with Variables R1 @ p(2) ==> false. R2 @ q(X), p(X) ==> s(X). Initial store: q(2)

  47. Example with Variables – Extended Program R1 @ p(2) ==> false. R2 @ q(X), p(X) ==> s(X). E1 @ p(X), p(Y) ==> X = Y | false. E2 @ q(X), q(Y) ==> X = Y | false. E3 @ s(X), s(Y) ==> X = Y | false.

  48. Example with Variables – Execution R1 @ p(2) ==> false. R2 @ q(X), p(X) ==> s(X). E1 @ p(X), p(Y) ==> X = Y | false E2 @ q(X), q(Y) ==> X = Y | false E3 @ s(X), s(Y) ==> X = Y | false + Store: q(2) + Rule try: R2 (trying p(2)) ++ Store: q(2), p(2) ++ Rule: R1, failed state, backtrack + Store: q(2), s(2)

  49. Future Work on CHRD¬ • Investigate termination of CHRD¬ programs • Rules may be appliable even with no matching constraint at current constraint store • Investigate variables in rule head • How to deal with not found constraints containing uninstantiated variables?

More Related