Agent Behavior Combination Modeling by Multi-method Integration
Jianxing Gong, Huabing Wang, Quan Liu, Jian Xin Huang, Jianguo Hao · 2019
Behavior modeling is one of the core contents of agent modeling. According to different requirements, various behavior modeling methods have been proposed. In this paper, we propose an agent behavior-combination modeling technology which is realized by integrating several classic behavior modeling methods. Based on the definitions of agent behavior elements, the behavior graph of agent is formalized and then constructed in a graphical way, employing behavior tree, finite-state machine and workflow. The proposed agent behavior-combination modeling technology is eventually realized by integrating behavior-tree graph, finite-state machine graph and task graph, of which the feasibility is verified by a concrete application case.