On the Complexity of Finding Second-Best Abductive Explanations
Paolo Liberatore, Marco Schaerf

TL;DR
This paper investigates the computational complexity of identifying second-best abductive explanations under various orderings and definitions, extending existing knowledge on the difficulty of finding optimal solutions.
Contribution
It analyzes the complexity of computing second-best abductive explanations for different orderings and definitions, providing new insights into their computational challenges.
Findings
Complexity results vary depending on the ordering used.
Some definitions of second-best solutions are computationally hard to find.
The work extends understanding of abductive reasoning beyond the best solutions.
Abstract
While looking for abductive explanations of a given set of manifestations, an ordering between possible solutions is often assumed. The complexity of finding/verifying optimal solutions is already known. In this paper we consider the computational complexity of finding second-best solutions. We consider different orderings, and consider also different possible definitions of what a second-best solution is.
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