LOAIMay 8, 2019

SMT-based Constraint Answer Set Solver EZSMT+

arXiv:1905.03334v218 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for researchers in constraint answer set programming, offering a new tool but without broad SOTA impact.

The paper tackled the integration of answer set programming with constraint processing by developing EZSMT+, a tool that uses satisfiability modulo theory solvers for search, based on theoretical generalizations of Niemela's level rankings.

Constraint answer set programming integrates answer set programming with constraint processing. System EZSMT+ is a constraint answer set programming tool that utilizes satisfiability modulo theory solvers for search. Its theoretical foundation lies on generalizations of Niemela's characterization of answer sets of a logic program via so called level rankings.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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