任务分配:一种小组自我设计方法

Eric Malville, F. Bourdon
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引用次数: 17

摘要

本文主要研究开放多智能体系统中的分布式任务分配机制。我们的目标是为在分布式环境中构建多智能体系统提供任务分配协议。我们提出的机制是基于群体自我设计(GSD)方法。从全局的角度来看,GSD协议使搜索空间能够组织成树状结构,其中节点是代理组。从局部的角度来看,它们使一个群体能够独立于其他群体而自主地被细分。GSD的目的是限制动态管理系统和搜索任务求解器所产生的网络负载。我们根据R.G. Smith(1980)的契约网络协议和B. Dillenseger和F. Bourdon(1995)的代理群体模型,对我们的方法在网络负荷方面进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task allocation: a group self-design approach
This paper focuses on distributed task allocation mechanisms in Open Multi-Agents Systems. Our aim is to provide task allocation protocols for building Multi-Agents Systems in distributed environments. The mechanism we propose is based on a Group Self-Design (GSD) approach. From a global point of view the GSD protocols enable the search space to be organised into a tree-structure in which nodes are agent groups. From a local point of view they enable a group to be sub-divided autonomously and independently of the others. The purpose of GSD is to limit the network load created by the management of the system dynamic and by the search of task solvers. We put forward an evaluation of our approach in terms of network load in relation to the contract net protocol of R.G. Smith (1980) and to the agent group model of B. Dillenseger and F. Bourdon (1995).
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