DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies
Autoři
Rok
2021
Publikováno
Proceedings of the International Symposium on Combinatorial Search. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2021. p. 153-155. ISBN 9781713834557.
Typ
Stať ve sborníku
Anotace
The task in multi-agent path finding (MAPF) is to find non-
conflicting paths connecting agents’ start and goal positions.
The MAPF problem is often compiled to Boolean satisfia-
bility (SAT) and solved by existing SAT solvers. Contem-
porary compilation approaches of MAPF to SAT regard the
SAT solver as an external tool whose task is to return an as-
signment of all decision variables of a Boolean model of the
input MAPF instance. We present in this paper a novel compi-
lation scheme called DPLL(MAPF) in which the consistency
checking of partial assignments of decision variables with re-
spect to the MAPF rules is integrated directly into the SAT
solver. This scheme allows for far more automated compila-
tion where the SAT solver and the consistency checking pro-
cedure work together simultaneously to create the Boolean
model and to search for its satisfying assignment.