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IJCAI 2024

AMO-aware Aggregates in Answer Set Programming

Conference Paper Knowledge Representation and Reasoning Artificial Intelligence

Abstract

Aggregates such as sum and count are among the most frequently used linguistic extensions of Answer Set Programming (ASP). At-most-one (AMO) constraints are a specific form of aggregates that excludes the simultaneous truth of multiple elements in a set. This article unleashes a powerful propagation strategy in case groups of elements in an aggregate are also involved in AMO constraints. In fact, the combined knowledge given by aggregates and AMO constraints significantly increases the effectiveness of search space pruning, resulting in sensible performance gains.

Authors

Keywords

  • Knowledge Representation and Reasoning: KRR: Logic programming
  • Knowledge Representation and Reasoning: KRR: Non-monotonic reasoning

Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
263447632784149193