| 基于DEVS原子模型的智能体离散仿真构建方法 |
| |
| 引用本文： | 王霄汉,张霖,赖李媛君,谢堃钰,胡听春.基于DEVS原子模型的智能体离散仿真构建方法[J].系统仿真学报,2022,34(2):191-200. |
| |
| 作者姓名： | 王霄汉 张霖 赖李媛君 谢堃钰 胡听春 |
| |
| 作者单位： | 1.北京航空航天大学，北京 1001912.复杂产品先进制造系统教育部工程研究中心，北京 100191 |
| |
| 基金项目： | 国家重点研发计划(2018YFB1701600) |
| |
| 摘 要： | 智能体由于自身交互行为与学习行为的复杂性,难以直接被建模和仿真.针对智能体离散仿真中的常见问题,借助DEVS (discrete event system specification)原子模型的事件转移机制表示智能体的交互与学习过程,通过对智能体交互模式、多状态外部事件转移控制、端口连接模式、以及强化学习事件转移表示等...
|
| 关 键 词： | 智能体 DEVS 离散仿真 强化学习 状态转移 原子模型 |
| 收稿时间： | 2021-03-29 |
Constructing the Agent Discrete Simulation Based on DEVS Atomic Model |
| |
| Xiaohan Wang,Lin Zhang,Yuanjun Laili,Kunyu Xie,Tingchun Hu.Constructing the Agent Discrete Simulation Based on DEVS Atomic Model[J].Journal of System Simulation,2022,34(2):191-200. |
| |
| Authors: | Xiaohan Wang Lin Zhang Yuanjun Laili Kunyu Xie Tingchun Hu |
| |
| Institution: | 1.Beihang University, Beijing 100191, China2.Engineering Research Center of Complex Product Advanced Manufacturing Systems, Ministry of Education, Beijing 100191, China |
| |
| Abstract: | Agents are difficult to be directly modeled and simulated due to the complexity of their own interaction and learning behaviors. Aiming at the common problems in the discrete simulation of the agent, the event transfer mechanism of the discrete event system specification (DEVS) atomic model is applied to express the interaction and learning of an agent. Through the interaction mode of the agent, the transfer control of multi-state external events, the port connection mode, as well as the introduction of reinforcement learning event transfer representation, a discrete simulation construction method of the agent based on the DEVS atomic model is provided. The simulation verification is carried out in the grid world and the cart-pole environment. The experimental results prove the feasibility and effectiveness of the proposed method in constructing the interactive and learning behaviors of the agent. |
| |
| Keywords: | agent discrete event system specification(DEVS) discrete simulation reinforcement learning state transition atomic model |
|
| 点击此处可从《系统仿真学报》浏览原始摘要信息 |
| 点击此处可从《系统仿真学报》下载免费的PDF全文 |
|
