用于计划、调度和资源分配的多代理技术

V. Gorodetski, A. Lebedev
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引用次数: 5

摘要

大量的热点应用可以简化为组合模型。几乎所有这些问题都至少是np困难的,不能用传统的方法解决。我们考虑了一种基于代理的方法来解决实时和时间约束下的一组计划和调度应用程序。这个问题被形式化为一组公司的合同分配任务,并被指定为由元代理管理的基于拍卖的代理竞争。主要贡献有:多智能体系统架构;基于知识的实时和时间约束规范以知识为基础的拍卖管理模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-agent technology for planning, scheduling, and resource allocation
A large number of hot applications are reducible to combinatorial models. Almost all of them are at least NP-hard and cannot be solved in a traditional way. We consider an agent-based approach to solve a set of planning and scheduling applications under real time and temporal constraints. The problem is formalised as a contract allocation task over a set of companies and specified as an auction-based competition of agents managed by a meta-agent. The contributions are: the multi-agent system architecture; knowledge-based specification of real time and temporal constraints; and a knowledge-based auction management model.
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