Since its introduction in the late 1980s, answer set programming (ASP) has been widely applied to various knowledge-intensive tasks and combinatorial search problems. ASP was found to be closely related to SAT, which has led to a method of computing answer sets using SAT solvers and techniques adapted from SAT. While this has been the most studied relationship which is currently extended towards satisfiability modulo theories (SMT), the relationship of ASP to other computing paradigms, such as constraint satisfaction, quantified boolean formulas (QBF), first-order logic (FOL), or FO(ID) logic is also the subject of active research. New methods of computing answer sets are being developed based on the relation between ASP and other paradigms, such as the use of pseudo-Boolean solvers, QBF solvers, FOL theorem provers, and CLP systems.
Furthermore, the practical applications of ASP also foster work on multi-paradigm problem-solving, and in particular language and solver integration. The most prominent examples in this area currently are the integration of ASP with description logics (in the realm of the Semantic Web), constraint satisfaction, and general means of external computation. This workshop will facilitate the discussion about crossing the boundaries of current ASP techniques in theory, solving, and applications, in combination with or inspired by other computing paradigms.
Topics of interests include (but are not limited to):