一种基于个性的作战实体行为模型构建框架及方法
A Personality-Based Combat Behavior Modeling Architecture and Methods
DOI: 10.12677/AIRR.2019.84028, PDF,  被引量    国家自然科学基金支持
作者: 朱 江, 闻传花, 黄湘远:陆军指挥学院作战实验室,南京 江苏;陈 俊:陆军指挥学院研究生队,南京 江苏
关键词: 智能多Agent指挥控制决策模型Intelligence Multi-Agent Command & Control Decision Model
摘要: 作战实体建模面对作战中多样性和行为特点的互异性,需要刻画的行为变量众多、关系复杂,本文提出一种基于个性的作战实体行为建模方法,建立个性驱动行为生成概念框架,建立个性的表达、个性驱动的行动选择、个性的优化等子模型,并运用于指挥训练系统,为受训指挥员和机关人员构建形神兼备、公正逼真的模拟作战实体,较好地提升了训练效果。
Abstract: Combat entity modeling should face the problem of expressing behaviors with uncountable va-riables and relations under the complex combat environment, which has the characteristic of di-versity and heterogeneity. In this paper, firstly, a personality-driven behavior generation concept framework is constructed, then a personality-based combat behavior modeling method is proposed, which composed of personality expressing model, personality based behavior choosing model, personality optimizing model. As a result, it promotes the reliability and variety of behavior models, and can be used for command training system to acquire better training effect.
文章引用:朱江, 闻传花, 陈俊, 黄湘远. 一种基于个性的作战实体行为模型构建框架及方法[J]. 人工智能与机器人研究, 2019, 8(4): 248-254. https://doi.org/10.12677/AIRR.2019.84028

参考文献

[1] Vakas, D., et al. (2001) Commander Behavior and Course of Action Selection in JWARS. Proceedings of the 10th CGF&BR Conference, Norfolk, 14-17 May, 147-154.
[2] Strofky, M., Hogan, C. and Prince, J. (2003) A Common Architecture for Behavior and Cognitive Modeling. 2003 Conference on Behavior Representation in Modeling and Simulation, Scottsdale, 12-15 May, 210-217.
[3] 陈亚洲, 刘建平, 包战. 基于认知主导决策模型的陆军合同战术指挥员Agent建模策略. 系统仿真技术, 2013, 9(1): 66-70.
[4] Turkia, M. (2009) A Computational Model of Af-fects. In: Dietrich, D., Fodor, G., Zucker, G. and Bruckner, D., Eds., Simulating the Mind, Springer, Germany, 277-289.
[Google Scholar] [CrossRef
[5] Barteneva, D., Lau, N. and Reis, L.P. (2008) A Computa-tional Study on Emotions and Temperament in Multi-Agent System.
http://arxiv.org/abs/0809.4784
[6] Slater, S., Moreton, R., Buckley, K. and Bridges, A. (2008) A Review of Agent Emotion Architectures.
http://www.eludamos.org/index.php/eludamos/article/viewArticle/44
[7] Becker, C., Lessmann, N., Kopp, S. and Wachsmuth, I. (2006) Connecting Feelings and Thoughts-Modeling the Interaction of Emotion and Cognition in Embodied Agents. Proceedings of Seventh International Conference on Cognitive Modeling, Ann Arbor, MI, 6 August, 32-37.
[8] 胡记文, 尹全军, 冯磊, 邓海军, 查亚兵. 基于前景理论的CGF Agent决策建模研究. 国防科技大学学报, 2010, 32(4): 131-136.
[9] 冯进, 朱江, 沈涛林. 一种基于分层智能混合决策的多Agent框架. 火力与指挥控制, 2017(1): 36-40.
[10] Costantini, S., Tocchio, A., Toni, F., et al. (2007) A multi-Layered General Agent Model. In: Basili, R. and Pazienza, M.T., Eds., Artificial Intelligence and Human-Oriented Computing, Springer, Berlin, Heidelberg, 121-132.
[Google Scholar] [CrossRef
[11] 韩月敏, 林燕, 刘非平, 等. 陆战Agent学习机理模型研究. 指挥控制与仿真, 2010, 32(1): 13-17.