Rule Based Programming with constraints and strategies
Identifieur interne :
000993 ( PascalFrancis/Corpus );
précédent :
000992;
suivant :
000994
Rule Based Programming with constraints and strategies
Auteurs : H. Dubois ;
H. KirchneiSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2000.
RBID : Pascal:01-0035980
Descripteurs français
- Pascal (Inist)
- Prototype,
Base connaissance,
Système expert,
Intelligence artificielle,
Spécification,
Programmation,
Backtracking,
Planification,
Stratégie,
Satisfaction contrainte,
Contrainte,
0705B,
Rule based Programming,
ELAN language,
Deduction systems,
Finite domains,
Constraint solver.
English descriptors
- KwdEn :
- Artificial intelligence,
Backtracking,
Constraint satisfaction,
Expert systems,
Knowledge base,
Planning,
Programming,
Prototype,
Specifications,
Strategy,
Stresses.
Abstract
We present a framework for Rule Based Programming with Constraints and Strategies. It is implemented in the ELAN language, that provides an environment for specifying and prototyping deduction systems. The existence of strategies provides the user with the possibility to make choices, to act upon them, and to retract if needed using backtracking. To illustrate the framework, we formalise a planning problem, namely a controller for printing tasks, that shows how to combine rules, strategies and constraint solving on finite domains.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
A01 | 01 | 1 | | @0 0302-9743 |
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A05 | | | | @2 1865 |
---|
A08 | 01 | 1 | ENG | @1 Rule Based Programming with constraints and strategies |
---|
A09 | 01 | 1 | ENG | @1 New trends in constraints : Paphos, 25-27 October 1999, selected papers |
---|
A11 | 01 | 1 | | @1 DUBOIS (H.) |
---|
A11 | 02 | 1 | | @1 KIRCHNEI (H.) |
---|
A12 | 01 | 1 | | @1 APT (Krzysztof R.) @9 ed. |
---|
A12 | 02 | 1 | | @1 KAKAS (Antonis C.) @9 ed. |
---|
A12 | 03 | 1 | | @1 MONFROY (Eric) @9 ed. |
---|
A12 | 04 | 1 | | @1 ROSSI (Francesca) @9 ed. |
---|
A14 | 01 | | | @1 LORIA-UHP & CNRS, BP 239 @2 54506 Vandœuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut. |
---|
A20 | | | | @1 274-297 |
---|
A21 | | | | @1 2000 |
---|
A23 | 01 | | | @0 ENG |
---|
A26 | 01 | | | @0 3-540-67885-9 |
---|
A43 | 01 | | | @1 INIST @2 16343 @5 354000090095240140 |
---|
A44 | | | | @0 0000 @1 © 2001 INIST-CNRS. All rights reserved. |
---|
A45 | | | | @0 1 p.3/4 |
---|
A47 | 01 | 1 | | @0 01-0035980 |
---|
A60 | | | | @1 P @2 C |
---|
A61 | | | | @0 A |
---|
A64 | 01 | 1 | | @0 Lecture notes in computer science |
---|
A66 | 01 | | | @0 DEU |
---|
A66 | 02 | | | @0 USA |
---|
C01 | 01 | | ENG | @0 We present a framework for Rule Based Programming with Constraints and Strategies. It is implemented in the ELAN language, that provides an environment for specifying and prototyping deduction systems. The existence of strategies provides the user with the possibility to make choices, to act upon them, and to retract if needed using backtracking. To illustrate the framework, we formalise a planning problem, namely a controller for printing tasks, that shows how to combine rules, strategies and constraint solving on finite domains. |
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C02 | 01 | 3 | | @0 001B00G05B |
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C02 | 02 | X | | @0 001D02A07 |
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C02 | 03 | X | | @0 001D02B02 |
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C02 | 04 | X | | @0 001D01A11 |
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C03 | 01 | X | FRE | @0 Prototype @5 01 |
---|
C03 | 01 | X | ENG | @0 Prototype @5 01 |
---|
C03 | 01 | X | SPA | @0 Prototipo @5 01 |
---|
C03 | 02 | 3 | FRE | @0 Base connaissance @5 02 |
---|
C03 | 02 | 3 | ENG | @0 Knowledge base @5 02 |
---|
C03 | 03 | 3 | FRE | @0 Système expert @5 03 |
---|
C03 | 03 | 3 | ENG | @0 Expert systems @5 03 |
---|
C03 | 04 | 3 | FRE | @0 Intelligence artificielle @5 04 |
---|
C03 | 04 | 3 | ENG | @0 Artificial intelligence @5 04 |
---|
C03 | 05 | 3 | FRE | @0 Spécification @5 09 |
---|
C03 | 05 | 3 | ENG | @0 Specifications @5 09 |
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C03 | 06 | 3 | FRE | @0 Programmation @5 11 |
---|
C03 | 06 | 3 | ENG | @0 Programming @5 11 |
---|
C03 | 07 | 3 | FRE | @0 Backtracking @5 12 |
---|
C03 | 07 | 3 | ENG | @0 Backtracking @5 12 |
---|
C03 | 08 | X | FRE | @0 Planification @5 13 |
---|
C03 | 08 | X | ENG | @0 Planning @5 13 |
---|
C03 | 08 | X | SPA | @0 Planificación @5 13 |
---|
C03 | 09 | X | FRE | @0 Stratégie @5 15 |
---|
C03 | 09 | X | ENG | @0 Strategy @5 15 |
---|
C03 | 09 | X | SPA | @0 Estrategia @5 15 |
---|
C03 | 10 | X | FRE | @0 Satisfaction contrainte @5 16 |
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C03 | 10 | X | ENG | @0 Constraint satisfaction @5 16 |
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C03 | 10 | X | SPA | @0 Satisfaccion restricción @5 16 |
---|
C03 | 11 | 3 | FRE | @0 Contrainte @5 17 |
---|
C03 | 11 | 3 | ENG | @0 Stresses @5 17 |
---|
C03 | 12 | 3 | FRE | @0 0705B @2 PAC @4 INC @5 56 |
---|
C03 | 13 | 3 | FRE | @0 Rule based Programming @4 INC @5 82 |
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C03 | 14 | 3 | FRE | @0 ELAN language @4 INC @5 83 |
---|
C03 | 15 | 3 | FRE | @0 Deduction systems @4 INC @5 84 |
---|
C03 | 16 | 3 | FRE | @0 Finite domains @4 INC @5 85 |
---|
C03 | 17 | 3 | FRE | @0 Constraint solver @4 INC @5 86 |
---|
N21 | | | | @1 022 |
---|
|
pR |
A30 | 01 | 1 | ENG | @1 Joint ERCIM/Compulog net workshop @3 Paphos CYP @4 1999-10-25 |
---|
|
Format Inist (serveur)
NO : | PASCAL 01-0035980 INIST |
ET : | Rule Based Programming with constraints and strategies |
AU : | DUBOIS (H.); KIRCHNEI (H.); APT (Krzysztof R.); KAKAS (Antonis C.); MONFROY (Eric); ROSSI (Francesca) |
AF : | LORIA-UHP & CNRS, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2000; Vol. 1865; Pp. 274-297; Bibl. 1 p.3/4 |
LA : | Anglais |
EA : | We present a framework for Rule Based Programming with Constraints and Strategies. It is implemented in the ELAN language, that provides an environment for specifying and prototyping deduction systems. The existence of strategies provides the user with the possibility to make choices, to act upon them, and to retract if needed using backtracking. To illustrate the framework, we formalise a planning problem, namely a controller for printing tasks, that shows how to combine rules, strategies and constraint solving on finite domains. |
CC : | 001B00G05B; 001D02A07; 001D02B02; 001D01A11 |
FD : | Prototype; Base connaissance; Système expert; Intelligence artificielle; Spécification; Programmation; Backtracking; Planification; Stratégie; Satisfaction contrainte; Contrainte; 0705B; Rule based Programming; ELAN language; Deduction systems; Finite domains; Constraint solver |
ED : | Prototype; Knowledge base; Expert systems; Artificial intelligence; Specifications; Programming; Backtracking; Planning; Strategy; Constraint satisfaction; Stresses |
SD : | Prototipo; Planificación; Estrategia; Satisfaccion restricción |
LO : | INIST-16343.354000090095240140 |
ID : | 01-0035980 |
Links to Exploration step
Pascal:01-0035980
Le document en format XML
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<front><div type="abstract" xml:lang="en">We present a framework for Rule Based Programming with Constraints and Strategies. It is implemented in the ELAN language, that provides an environment for specifying and prototyping deduction systems. The existence of strategies provides the user with the possibility to make choices, to act upon them, and to retract if needed using backtracking. To illustrate the framework, we formalise a planning problem, namely a controller for printing tasks, that shows how to combine rules, strategies and constraint solving on finite domains.</div>
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<ET>Rule Based Programming with constraints and strategies</ET>
<AU>DUBOIS (H.); KIRCHNEI (H.); APT (Krzysztof R.); KAKAS (Antonis C.); MONFROY (Eric); ROSSI (Francesca)</AU>
<AF>LORIA-UHP & CNRS, BP 239/54506 Vandœuvre-lès-Nancy/France (1 aut., 2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2000; Vol. 1865; Pp. 274-297; Bibl. 1 p.3/4</SO>
<LA>Anglais</LA>
<EA>We present a framework for Rule Based Programming with Constraints and Strategies. It is implemented in the ELAN language, that provides an environment for specifying and prototyping deduction systems. The existence of strategies provides the user with the possibility to make choices, to act upon them, and to retract if needed using backtracking. To illustrate the framework, we formalise a planning problem, namely a controller for printing tasks, that shows how to combine rules, strategies and constraint solving on finite domains.</EA>
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<ED>Prototype; Knowledge base; Expert systems; Artificial intelligence; Specifications; Programming; Backtracking; Planning; Strategy; Constraint satisfaction; Stresses</ED>
<SD>Prototipo; Planificación; Estrategia; Satisfaccion restricción</SD>
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