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Proving Properties of Constraint Logic Programs by Eliminating Existential VariablesPowerPoint Presentation

Proving Properties of Constraint Logic Programs by Eliminating Existential Variables

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### Proving Propertiesof Constraint Logic Programsby Eliminating Existential Variables

Alberto Pettorossi (Università di Roma “Tor Vergata”),

Maurizio Proietti (IASI-CNR, Roma),

Valerio Senni (Università di Roma “Tor Vergata”)

CILC2006 – DIB – Università di Bari

26-27 June 2006

1. Outline of the work

- Goal: proving first order properties of
Costraint Logic Programs (CLPs)

- Focus: CLPs on the domain of lists and
real numbers

- Technique: existential quantifiers elimination by means
of program transformation

- Polynomials p ::= a | X | p1 + p2 | a X where a and X Var
- Constraints c ::= p1 = p2 | p1 < p2 | p1 ≤ p2 | c1 c2
- LR-programs
head terms h ::= X | [ ] | [X|L] where X Var and L VarL

body terms b ::= p | L

clauses cl ::= r1(h1,…,hn) c |

r1 (h1,…,hn) c r2 (b1,…,bn) |

r1 (h1,…,hn) c r2 (b1,…,bn)

Goal: given a program P and a property , verify whether or not

M(P)

- start from the pair < P, prop >
- transform the statement prop into a (stratified, finite) set of definitions D1…Dn
- add each of the D1…Dn to the inital program P obtaining at each step a new lr-program without existential variables
- If the transformation process terminates, then the definition of prop
is propositional

(by definition of lr-programs)

- Initial program P
member (X,[Y|L]) X=Y

member (X,[Y|L]) member (X,L)

- Property : L U X ( X L X ≤ U )
we want to show that any list of reals has an upper bound

- Two steps :
- First we transform the statement prop into a set of definitions D1…Dn
- By applying the Unfold/Fold rules we transform D1…Dn P into a
new program T such that the definition of prop ispropositional

q

p

5. Clause-Form Transformation

: L U X ( X L X ≤ U )

prop L U X ( X L X > U )

D4: prop p

D3: p list (L) q (L)

D2: q (L) list (L) r (L,U)

D1: r (L,U) X > U list(L) member (X,L)

Step 1.

- not lr-clauses
- with existential
- variables

Step 2.

The unfold/fold transformation is aimed at transforming the clauses

obtained after the Step 1 into lr-clauses.

D4 : prop p

D3 : p p1

p1 p1

D2 : q ([])

q ([X|T]) q1(X,T)

q1 (X,[Y|T]) X > Y q1 (X , L)

q1 (X,[Y|T]) X ≤ Y q1 (Y , L)

D1 : r ([X|T],U) X > Ulist (L)

r ([X|T],U) r (T,U)

- by repeated applications of the
- unfold,
- fold and
- constraint replacement rules
- we obtain the final program T

T

For each initial predicate we have obtained a new definition, made of lr-clauses.

Possibly with the use of some auxiliary predicate (p1, q1)

Step 2.

The unfold/fold transformation is aimed at transforming the clauses

obtained after the Step 1 into lr-clauses.

D4 : prop p

D3 : p p1

p1 p1

D2 : q ([])

q ([X|T]) q1(X,T)

q1 (X,[Y|T]) X > Y q1 (X , L)

q1 (X,[Y|T]) X ≤ Y q1 (Y , L)

D1 : r ([X|T],U) X > Ulist (L)

r ([X|T],U) r (T,U)

- by repeated applications of the
- unfold,
- fold and
- constraint replacement rules
- we obtain the final program T

T

For each initial predicate we have obtained a new definition, made of lr-clauses.

Possibly with the use of some auxiliary predicate (p1, q1)

Step 2.

The unfold/fold transformation is aimed at transforming the clauses

obtained after the Step 1 into lr-clauses.

D4 : prop p

D3 : p p1

p1 p1

D2 : q ([])

q ([X|T]) q1(X,T)

q1 (X,[Y|T]) X > Y q1 (X , L)

q1 (X,[Y|T]) X ≤ Y q1 (Y , L)

D1 : r ([X|T],U) X > Ulist (L)

r ([X|T],U) r (T,U)

- by repeated applications of the
- unfold,
- fold and
- constraint replacement rules
- we obtain the final program T

T

For each initial predicate we have obtained a new definition, made of lr-clauses.

Possibly with the use of some auxiliary predicate (p1, q1)

Step 2.

The unfold/fold transformation is aimed at transforming the clauses

obtained after the Step 1 into lr-clauses.

D4 : prop p

D3 : p p1

p1 p1

D2 : q ([])

q ([X|T]) q1(X,T)

q1 (X,[Y|T]) X > Y q1 (X , L)

q1 (X,[Y|T]) X ≤ Y q1 (Y , L)

D1 : r ([X|T],U) X > Ulist (L)

r ([X|T],U) r (T,U)

prop

- by repeated applications of the
- unfold,
- fold and
- constraint replacement rules
- we obtain the final program T

T

For each initial predicate we have obtained a new definition, made of lr-clauses.

Possibly with the use of some auxiliary predicate (p1, q1)

A general Unfold/Fold strategy

Input: an lr-program P and a hierarchy <D1,...,Dn> of clauses

Output: an lr-program T

for all D1,...,Dn :

Di

unfold+

replace-constraints*

no

yes

i > n

T

define-fold*

the final

program

yes

no

i := i + 1

NewDefs =

8. The Unfold-Fold Strategy at work

start from clause D1 :

r (L,U) X > U list(L) member (X,L)

Unfold : r ([X|T],U) X > U list(T)

r ([X|T],U) Y > U list(T) member (Y,T)

Fold : 1. r ([X|T],U) X > U list(T)

2. r ([X|T],U) r (T,U)

8. The Unfold-Fold Strategy at work

start from clause D1 :

r (L,U) X > U list(L) member (X,L)

Unfold : r ([X|T],U) X > U list(T)

r ([X|T],U) Y > U list(T) member (Y,T)

Fold : 1. r ([X|T],U) X > U list(T)

2. r ([X|T],U) r (T,U)

We go on with the following definitions D2, D3, and D4

- lr-clauses
- without existential
- variables

9. Introduction of new Definitions

clause D2 :

q (L) list (L) r (L,U)

Unfold : q ([ ])

q ([X|T]) X ≤ U list (T) r (T,U)

we cannot fold

9. Introduction of new Definitions

clause D2 :

q (L) list (L) r (L,U)

Unfold : q ([ ])

q ([X|T]) X ≤ U list (T) r (T,U)

Define : q1(X,T) X ≤ U list (T) r (T,U)

Fold : 3. q ([ ])

4. q ([X|T]) q1(X,T)

Continue to apply the transformation rules to the new definition

Unfold : q1(X,[ ])

q1(X,[Y|T]) X ≤ U Y ≤ U list (T) r (T,U)

we cannot fold

definitions

9. Introduction of new Definitions

clause D2 :

q (L) list (L) r (L,U)

Unfold : q ([ ])

q ([X|T]) X ≤ U list (T) r (T,U)

Define : q1(X,T) X ≤ U list (T) r (T,U)

Fold : 3. q ([ ])

4. q ([X|T]) q1(X,T)

Continue to apply the transformation rules to the new definition

Unfold : q1(X,[ ])

q1(X,[Y|T]) X ≤ U Y ≤ U list (T) r (T,U)

we cannot fold

reduce the

occurrences of existential variables

U

U

X

Y

X > Y X ≤ U X ≤ Y Y ≤ U

X

Y

X ≤ U Y ≤ U

X

Y

10. Constraint Replacement

: q1 (X,[Y|T]) X ≤ U Y ≤ U list (T) r (T,U)

U

U

X

Y

X > Y X ≤ U X ≤ Y Y ≤ U

X

Y

X ≤ U Y ≤ U

X

Y

10. Constraint Replacement

- : q1 (X,[Y|T]) X ≤ U Y ≤ U list (T) r (T,U)
- We substitute the clause for and
- : q1 (X,[Y|T]) X > Y X ≤ U list (T) r (T,U)
- : q1 (X,[Y|T]) X ≤ Y Y ≤ U list (T) r (T,U)

U

U

X

Y

X > Y X ≤ U X ≤ Y Y ≤ U

X

Y

X ≤ U Y ≤ U

X

Y

10. Constraint Replacement

- : q1 (X,[Y|T]) X ≤ U Y ≤ U list (T) r (T,U)
- We substitute the clause for and
- : q1 (X,[Y|T]) X > Y X ≤ U list (T) r (T,U)
- : q1 (X,[Y|T]) X ≤ Y Y ≤ U list (T) r (T,U)
- after folding we obtain :
- 5. q1 (X,[Y|T]) X > Y q1 (X,T)
- 6. q1 (X,[Y|T]) X ≤ Y q1 (Y,T)

which allow

for folding

11. Last part of the Trasformation

clause D3 : p list (L) q (L)

Unfold : p list(T) q1 (X,T)

Define : p1list(T) q1 (X,T)

Fold : 7. p p1

Unfold : p1 X > Y list(T) q1 (X,T)

p1X ≤ Y list(T) q1 (Y,T)

Constraint

Replace : p1 list(T) q1 (Y,T)

Fold : 8. p1 p1

project these

constraints out

At the end of the transformation we obtain the following program:

1. r ([X|T],U) X > U list(T)

2. r ([X|T],U) r (T,U)

3. q ([ ])

4. q ([X|T]) newp1(X,T)

5. q1 (X,[Y|T]) X > Y q1 (X,T)

6. q1 (X,[Y|T]) X ≤ Y q1 (Y,T)

7. p p1

8. p1 p1

9. prop p

T :

By simple inspection of the program T we can decide that the property prop is true

A brief note on termination:

for all D1,...,Dn :

Di

unfold+

replace-constraints*

no

yes

i > n

T

define-fold*

the final

program

yes

no

i := i + 1

NewDefs =

A brief note on termination:

The only source for nontermination is the possible

introduction of infinitely many new definitions

for all D1,...,Dn :

Di

unfold+

replace-constraints*

no

yes

i > n

T

define-fold*

the final

program

yes

no

i := i + 1

NewDefs =

We have run some experiments on the MAP system that implements

the Unfold/Fold transformation strategy.

- constraints handling: clp(r) module of SICStus prolog
(implementing a variant of the Fourier-Motzkin algorithm for

existential variables elimination)

- theorems in the theory of linear orders, lists, and sum

- identify some theories of interest for which this strategy succeeds
- experiment on different data structures (e.g. trees) and
domains with a linear order and closed under projection

- investigate phenomena that lead to nontermination
- generalization techniques that allow for folding

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