Rewriting recursive aggregates in answer set programming: back to monotonicity

Author:

ALVIANO MARIO,FABER WOLFGANG,GEBSER MARTIN

Abstract

AbstractAggregation functions are widely used in answer set programming for representing and reasoning on knowledge involving sets of objects collectively. Current implementations simplify the structure of programs in order to optimize the overall performance. In particular, aggregates are rewritten into simpler forms known as monotone aggregates. Since the evaluation of normal programs with monotone aggregates is in general on a lower complexity level than the evaluation of normal programs with arbitrary aggregates, any faithful translation function must introduce disjunction in rule heads in some cases. However, no function of this kind is known. The paper closes this gap by introducing a polynomial, faithful, and modular translation for rewriting common aggregation functions into the simpler form accepted by current solvers. A prototype system allows for experimenting with arbitrary recursive aggregates, which are also supported in the recent version 4.5 of the groundergringo, using the methods presented in this paper.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generalizing Level Ranking Constraints for Monotone and Convex Aggregates;Electronic Proceedings in Theoretical Computer Science;2023-09-12

2. Recursive rules with aggregation: a simple unified semantics;Journal of Logic and Computation;2022-11-14

3. On the Foundations of Grounding in Answer Set Programming;Theory and Practice of Logic Programming;2022-07-25

4. Aggregate Semantics for Propositional Answer Set Programs;Theory and Practice of Logic Programming;2022-02-23

5. Recursive Rules with Aggregation: A Simple Unified Semantics;Logical Foundations of Computer Science;2021-12-16

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