TY - GEN
T1 - Modelling search strategies in Rules2CP
AU - Fages, François
AU - Martin, Julien
PY - 2009/9/10
Y1 - 2009/9/10
N2 - In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modelling languages, Rules2CP adopts a single knowledge representation paradigm based on logical rules without recursion, and a restricted set of data structures based on records and enumerated lists given with iterators. We show that this is sufficient to model constraint satisfaction problems together with search strategies, where search trees are expressed by logical formulae, and heuristic choice criteria are defined by preference orderings on variables and formulae. Rules2CP statements are compiled to constraint programs over finite domains (currently SICStus-prolog and soon Choco-Java) by term rewriting and partial evaluation.
AB - In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modelling languages, Rules2CP adopts a single knowledge representation paradigm based on logical rules without recursion, and a restricted set of data structures based on records and enumerated lists given with iterators. We show that this is sufficient to model constraint satisfaction problems together with search strategies, where search trees are expressed by logical formulae, and heuristic choice criteria are defined by preference orderings on variables and formulae. Rules2CP statements are compiled to constraint programs over finite domains (currently SICStus-prolog and soon Choco-Java) by term rewriting and partial evaluation.
UR - https://www.scopus.com/pages/publications/69849113844
U2 - 10.1007/978-3-642-01929-6_28
DO - 10.1007/978-3-642-01929-6_28
M3 - Conference contribution
AN - SCOPUS:69849113844
SN - 3642019285
SN - 9783642019289
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 321
EP - 322
BT - Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems - 6th International Conference, CPAIOR 2009, Proceedings
T2 - 6th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2009
Y2 - 27 May 2009 through 31 May 2009
ER -