Host: The Japanese Society for Artificial Intelligence
Name : The 37th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 37
Location : [in Japanese]
Date : June 06, 2023 - June 09, 2023
The Dominating Set Reconfiguration Problem (DSRP) is the problem of determining, for a given dominating set problem and its two feasible solutions, whether one can be reachable to another via a sequence of feasible solutions. Each intermediate solution of the sequence must be generated from its predecessor, subject to some transition constraint. DSRP is known to be PSPACE-complete in general. In this paper, we describe an approach to solving DSRP based on Answer Set Programming (ASP). The resulting system accepts a DSRP instance and converts it into ASP facts. In turn, these facts are combined with an ASP encoding for DSRP solving, which can subsequently be solved by any off-the-shelf ASP systems, in our case clingo. To evaluate the effectiveness of our approach, we show some experimental results on the third benchmark set of CoRe Challenge 2022.