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Full-Text Articles in Physical Sciences and Mathematics
Constraint Answer Set Programming, Yuliya Lierler
Constraint Answer Set Programming, Yuliya Lierler
Computer Science Faculty Publications
Constraint answer set programming (CASP) is a novel, promising direction of research whose roots go back to propositional satisfiability (SAT). SAT solvers are efficient tools for solving boolean constraint satisfaction problems that arise in different areas of computer science, including software and hardware verification. Some constraints are more naturally expressed by non-boolean constructs. Satisfiability modulo theories (SMT) extends boolean satisfiability by the integration of non-boolean symbols defined by a background theory in another formalism, such as a constraint processing language. Answer set programming (ASP) extends computational methods of SAT in yet another way, inspired by ideas from knowledge representation, logic …
Practical And Methodological Aspects Of The Use Of Cutting-Edge Asp Tools, Marcello Balduccini, Yuliya Lierler
Practical And Methodological Aspects Of The Use Of Cutting-Edge Asp Tools, Marcello Balduccini, Yuliya Lierler
Computer Science Faculty Proceedings & Presentations
In the development of practical applications of answer set programming (ASP), encodings that use well-established solvers such as CLASP and DLV are sometimes affected by scalability issues. In those situations, one can resort to more sophisticated ASP tools exploiting, for instance, incremental and constraint ASP. However, today there is no specific methodology for the selection or use of such tools. In this paper we describe how we used such cutting-edge ASP tools on challenging problems from the Third Answer Set Programming Competition. We view this paper as a first step in the development of a general methodology for the use …