摘要
Goals reasoning and management of pilot is a key issue to monitor pilot's behavior and intention. Traditional modeling methods are based on scenarios or situations, such methods will cause the,covering problem due to redundancy and are incapable of depicting interactions among various goals and plans of pilot. Petri net integrated with belief, desire and intention (BDI) theory (BDI Petri net) is designed to solve this problem. Focusing on the BDI theory, goal states of agent are discussed firstly. Belief, desire and intention are modeled by places and transitions based on the Petri net theory. In order to simplify the network, colored token is introduced to depict various states of belief, and the hierarchy transition is applied to model the intention, together with tokens' flow derrionstrating the interaction among various goals and relationship among belief, desire and intention. A search and rescue mission is used to validate the proposed method and the result indicates that the model can be used to monitor goals and behaviors of pilots.
Goals reasoning and management of pilot is a key issue to monitor pilot's behavior and intention. Traditional modeling methods are based on scenarios or situations, such methods will cause the,covering problem due to redundancy and are incapable of depicting interactions among various goals and plans of pilot. Petri net integrated with belief, desire and intention (BDI) theory (BDI Petri net) is designed to solve this problem. Focusing on the BDI theory, goal states of agent are discussed firstly. Belief, desire and intention are modeled by places and transitions based on the Petri net theory. In order to simplify the network, colored token is introduced to depict various states of belief, and the hierarchy transition is applied to model the intention, together with tokens' flow derrionstrating the interaction among various goals and relationship among belief, desire and intention. A search and rescue mission is used to validate the proposed method and the result indicates that the model can be used to monitor goals and behaviors of pilots.
作者简介
Corresponding author:Yuanyuan Zhang was born in 1986. He receivedhis B.S. degree in 2007 and M.S. degree in 2009from Aviation University of Air Force, He is currentlypursuing his Ph.D. degree from Naval AeronauticalEngineering Institute. He is a lecturer inNavy Flight Academy. His research interests areintelligent decision technology, learning automata,and adaptive Petri net.E-mail: 109889354@qq.com;Wenhai Wu was born in 1962. He received his M.S.degree from Nanjing University of Aeronautics andAstronautics and Ph.D. degree from Air Force EngineeringUniversity. He is a professor in Naval AeronauticalEngineering Institute and serves as editorial/advisory committee members for several journals.His interests are principle of flight vehicle control,unmanned aerial vehicle flight route planningand mission planning.E-mail: Sophia_wxc@126.com
