Integrating answer set programming and constraint logic programming

We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, , for computing answer sets of programs. The algorithm does not require full grounding of a program and combines “classical” ASP solving...

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Published in:	Annals of mathematics and artificial intelligence Vol. 53; no. 1-4; pp. 251 - 287
Main Authors:	Mellarkod, Veena S., Gelfond, Michael, Zhang, Yuanlin
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.08.2008 Springer Nature B.V
Subjects:	Abduction Algorithms Artificial Intelligence Chromium Complex Systems Computer Science Declarative programming Expert systems Knowledge representation Logic programming Mathematical analysis Mathematical programming Mathematics Programming Prolog Semantics Solvers 68T20 68T27 03B70 Answer set programming 68T35 Constraint logic programming Knowledge representation and reasoning 68T30
ISSN:	1012-2443, 1573-7470
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Abstract	We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, , for computing answer sets of programs. The algorithm does not require full grounding of a program and combines “classical” ASP solving methods with constraint logic programming techniques and CR-Prolog based abduction. The based approach often allows to solve problems which are impossible to solve by more traditional ASP solving techniques. We believe that further investigation of the language and development of more efficient and reliable solvers for its programs can help to substantially expand the domain of applicability of the answer set programming paradigm.
AbstractList	We introduce a knowledge representation language AC(C)() extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, ACsolversolver , for computing answer sets of AC(C)() programs. The algorithm does not require full grounding of a program and combines 'classical' ASP solving methods with constraint logic programming techniques and CR-Prolog based abduction. The AC(C)() based approach often allows to solve problems which are impossible to solve by more traditional ASP solving techniques. We believe that further investigation of the language and development of more efficient and reliable solvers for its programs can help to substantially expand the domain of applicability of the answer set programming paradigm. We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, , for computing answer sets of programs. The algorithm does not require full grounding of a program and combines “classical” ASP solving methods with constraint logic programming techniques and CR-Prolog based abduction. The based approach often allows to solve problems which are impossible to solve by more traditional ASP solving techniques. We believe that further investigation of the language and development of more efficient and reliable solvers for its programs can help to substantially expand the domain of applicability of the answer set programming paradigm. We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, , for computing answer sets of programs. The algorithm does not require full grounding of a program and combines “classical” ASP solving methods with constraint logic programming techniques and CR-Prolog based abduction. The based approach often allows to solve problems which are impossible to solve by more traditional ASP solving techniques. We believe that further investigation of the language and development of more efficient and reliable solvers for its programs can help to substantially expand the domain of applicability of the answer set programming paradigm.
Author	Zhang, Yuanlin Mellarkod, Veena S. Gelfond, Michael
Author_xml	– sequence: 1 givenname: Veena S. surname: Mellarkod fullname: Mellarkod, Veena S. organization: Texas Tech University – sequence: 2 givenname: Michael surname: Gelfond fullname: Gelfond, Michael email: mgelfond@cs.ttu.edu organization: Texas Tech University – sequence: 3 givenname: Yuanlin surname: Zhang fullname: Zhang, Yuanlin organization: Texas Tech University
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Snippet	We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an... We introduce a knowledge representation language extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an... We introduce a knowledge representation language AC(C)() extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an...
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SubjectTerms	Abduction Algorithms Artificial Intelligence Chromium Complex Systems Computer Science Declarative programming Expert systems Knowledge representation Logic programming Mathematical analysis Mathematical programming Mathematics Programming Prolog Semantics Solvers
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Title	Integrating answer set programming and constraint logic programming
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