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A conflict-driven nogood learning answer set solverclasp is an answer set solver for (extended) normal logic programs. It combines the high-level modeling capacities of answer set programming 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).
Version: 3.3.10 License: MIT
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| Maintainers | No Maintainer |
| Categories | math |
| Homepage | https://potassco.org/clasp/ |
| Platforms | darwin |
| Variants |
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