Search algorithm for optimal execution of incident commander guidance in macro action planning
Reza Nourjou, Hirokazu Tatano, Hossein Aghamohammadi · International Journal of Intelligent Systems Technologies and Applications · 2015
This paper presents a state space search algorithm that solves the optimal execution problem of incident commander's guidance during disaster emergency management. To achieve a joint goal, the IC should select the best choice, as an optimal strategic decision, from available alternatives in a definite time. A strategic decision coordinates/controls macro actions of a team of field units by constraining a subteam to a subgoal in sublocation in a time window; moreover a sequence of strategic decisions generates a macro action plan that defines howto reach the goal. Three results are achieved by running this algorithm for a scenario: (1) calculate an optimal macro action plan; (2) estimate a minimum total time to achieve a joint goal and (3) reason about the best choice. We applied our approach to develop an intelligent software system (autonomous agent) for assisting the human in crisis response to earthquake disaster.