Agent在安全平台中的应用

Haijun Gu, Shucun Zhu, Yinsheng Cui, Xin Miao, Haoyu Liu, Meiqi Liu
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引用次数: 0

摘要

基于信念-欲望-意图(Belief-Desire-Intention, BDI)体系结构,将Agent内置在回答集编程(Answer set programming, ASP)中应用于安全平台。首先,对不同自治主体的BDI模型中的任务规划进行了描述,详细说明了相应的结构和协作机制;其次,为安全任务创建了包含谓词集的符号语言$\mathcal{L}_{p}$,定义了用于表示、交互和状态机的统一抽象符号。本文将该系统描述为ASP中解决多智能体问题的动态应用程序。在此基础上,提出了解决多智能体协作过程中信念冲突的技术框架Equibel,即智能体之间的信念共享和自身信念的更新。最后,结合安全应用背景对理论方法进行了仿真验证。仿真结果证明了Agent方法的有效性,可以方便地对传统安防系统进行升级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Agent in Security Platform
Based on Belief-Desire-Intention(BDI) architecture,the Agent built in Answer set programming (ASP) is applied to a security platform.Firstly, the task planning is described in BDI models for different autonomous agents,which corresponding structure and cooperation mechanism are explained in detail; Secondly, the symbol language $\mathcal{L}_{p}$ including predicate set is created for the security task, which defines the unified abstract symbols for representation, interaction and state machine.The paper describes the system as a dynamic application program in ASP to solve multi-agents problem. in additional, the method to solve the conflict of beliefs in multi-agent collaboration process is given with a technical framework called Equibel, which shares beliefs among agents and the renewal of their own beliefs. Finally, the theoretical method is simulated and validated with the security application background.The simulation results prove the effectiveness of Agent method, which can upgrade the traditional security system conveniently.
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