群智能系统任务的多层次建模与协作机制

Peng Li, Wenwen Fu, Hongjun You, Yuxi Liu, Zhihao Wu, Ran Qu, Yahui Li, Kailong Zhang
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引用次数: 0

摘要

协作是集群智能系统(Swarm Intelligent system, SIS)的一个明显的智能特征,而自主任务协作是集群智能系统在工厂、航天等复杂环境下运行的核心问题之一。围绕这一主题,本文深入研究了任务的建模和协调机制。在分析了任务协作的典型特征后,首先提出并建立了任务模型的层次结构,从上到下分别设计了任务模型、提交任务模型和原子任务模型。同时,提出了一种基于策略的解析机制,将任务自主分解为一组具有特殊约束的原子任务。在此基础上,统一设计了各种原子任务的资源相关实体,为实现行为同步,进一步引入了虚拟逻辑任务的概念,并在DDS中间件上采用了基于topic的通信通道。最后给出了一个典型实例并进行了分析。总的来说,本研究为构建协同群智能系统提供了一种可行的思路和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-level Modeling and Cooperation Mechanisms of Tasks for Swarm Intelligent Systems
Cooperation is an obvious intelligence feature for Swarm Intelligent Systems (SIS), and where, autonomous task cooperation is one of the core issues for such systems that run in complicated environments, such as factories and aerospace. Focusing on this topic, the mechanisms for modeling and coordinating tasks are deeply studied in this article. After analyzing typical features of task cooperation, a hierarchical architecture of task models is firstly proposed and established, where mission, sub-mission and atom task models are designed, from the top-level to the bottom. Meanwhile, a policy-based parsing mechanism is proposed to autonomously decompose a mission into a set of atom tasks with special constraints. On this basis, resource related entities for various atom tasks are designed uniformly, and for the purpose of behavior synchronization, the concept of virtual logic task is further introduced and Topic-based communication channel is adopted over DDS middleware. Finally, a typical example is given and analyzed. In general, this work provides a feasible idea and method for constructing cooperative swarm intelligent systems.
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