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진효원(Hyowon Jin),김수환(Suhwan Kim),정치정(Chijung Jung),이문걸(Moongul Lee) 한국경영과학회 2015 한국경영과학회지 Vol.40 No.3
This paper presents the issue that is predicting the movement of an agent in an enclosed space by using the MDP (Markov Decision Process). Recent researches on the optimal path finding are confined to derive the shortest path with the use of deterministic algorithm such as A<SUP>*</SUP> or Dijkstra. On the other hand, this study focuses in predicting the path that the agent chooses to escape the limited space as time passes, with the stochastic method. The MDP reward structure from GIS (Geographic Information System) data contributed this model to a feasible model. This model has been approved to have the high predictability after applied to the route of previous armed red guerilla.