Title :
A#: A distributed version of A* for factored planning
Author :
Jezequel, Loig ; Fabre, Eric
Author_Institution :
ENS Cachan Bretagne, Rennes, France
Abstract :
Factored planning consists in driving a modular or distributed system to a target state, in an optimal manner, assuming all actions are controllable. Such problems take the form of path search in a product of graphs. The state space of each component is a graph, in which one must find a path to the local goal of this component. But when all components are considered jointly, the problem amounts to finding a path in each of these state graphs, while ensuring their compatibility on the actions that must be performed jointly by some components of the system. This paper proposes a solution under the form of a multi-agent version of A*, assembling several A*, each one performing a biased depth-first search in the graph of each component.
Keywords :
graphs; optimal control; tree searching; A#; A* distributed version; depth-first search; distributed system; factored planning; modular system; multi-agent version; optimal manner; path search; state graphs; state space; Automata; Color; Cost function; Labeling; Planning; Search problems; Standards;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426187