A Comparison of CLP(FD) and ASP Solutions to NP-Complete Problems
Author(s) -
Agostino Dovier,
Andrea Formisano,
Enrico Pontelli
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-29208-X
DOI - 10.1007/11562931_8
Subject(s) - answer set programming , computer science , implementation , programming language , logic programming , constraint programming , set (abstract data type) , theoretical computer science , constraint logic programming , strengths and weaknesses , constraint (computer aided design) , logic program , constraint satisfaction , mathematical optimization , artificial intelligence , mathematics , philosophy , geometry , epistemology , stochastic programming , probabilistic logic
This paper presents experimental comparisons between declarative encodings of various computationally hard problems in both Answer Set Programming (ASP) and Constraint Logic Programming (CLP) over finite domains. The objective is to identify how the solvers in the two domains respond to different problems, highlighting strengths and weaknesses of their implementations and suggesting criteria for choosing one approach versus the other. Ultimately, the work in this paper is expected to lay the ground for transfer of concepts between the two domains (e.g., suggesting ways to use CLP in the execution of ASP)
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