TY - JOUR
T1 - Extending HTN to planning and execution control for small combat unit simulation
AU - Xu, Xiao
AU - Ju, Rusheng
AU - Liu, Xiaocheng
AU - Li, Ge
AU - Son, Young Jun
N1 - Funding Information:
This paper is supported by the National Natural Science Foundation of China (Grant Nos. 61374185 and 61403402).
Publisher Copyright:
© 2017 World Scientific Publishing Company.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Modeling how military commanders carry out operations is considered complicated, requiring the capability of not only planning for multiple subordinates but also responding to unexpected events during execution. This paper presents an Hierarchical Task Network (HTN) embedded planning and execution control architecture for small unit commander agents. To be adaptive to dynamic world state changes, the architecture employs a partial planning mechanism and generates actions only applicable to current situations. It is also able to coordinate subordinates' actions and handle execution failures at runtime. We demonstrate the architecture's use with an infantry company scenario, where the commander orders three platoons assaulting a defined hill. Our approach shows the effectiveness to control multiple entities in dynamic environments, making the architecture well-suited to represent small unit commanders' behavior.
AB - Modeling how military commanders carry out operations is considered complicated, requiring the capability of not only planning for multiple subordinates but also responding to unexpected events during execution. This paper presents an Hierarchical Task Network (HTN) embedded planning and execution control architecture for small unit commander agents. To be adaptive to dynamic world state changes, the architecture employs a partial planning mechanism and generates actions only applicable to current situations. It is also able to coordinate subordinates' actions and handle execution failures at runtime. We demonstrate the architecture's use with an infantry company scenario, where the commander orders three platoons assaulting a defined hill. Our approach shows the effectiveness to control multiple entities in dynamic environments, making the architecture well-suited to represent small unit commanders' behavior.
KW - Hierarchical task network
KW - combat simulation
KW - commander behavior modeling
KW - planning and execution
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U2 - 10.1142/S1793962317500325
DO - 10.1142/S1793962317500325
M3 - Article
AN - SCOPUS:85021399930
SN - 1793-9623
VL - 8
JO - International Journal of Modeling, Simulation, and Scientific Computing
JF - International Journal of Modeling, Simulation, and Scientific Computing
IS - 2
M1 - 1750032
ER -