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+Clasp is an answer set solver for (extended) normal logic programs. It combines
+the high-level modeling capacities of answer set programming (ASP) with
+state-of-the-art techniques from the area of Boolean constraint solving. The
+primary clasp algorithm relies on conflict-driven nogood learning, a technique
+that proved very successful for satisfiability checking (SAT). Unlike other
+learning ASP solvers, clasp does not rely on legacy software, such as a SAT
+solver or any other existing ASP solver. Rather, clasp has been genuinely
+developed for answer set solving based on conflict-driven nogood learning.
+clasp can be applied as an ASP solver (on SMODELS format, as output by Gringo),
+as a SAT solver (on a simplified version of DIMACS/CNF format), or as a PB
+solver (on OPB format). 
+
+WWW: http://potassco.sourceforge.net/