Ing. Martin Čapek

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Publikace

DPLL(MAPF): an Integration of Multi-Agent Path Finding and SAT Solving Technologies

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.