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Method of Distributed Model Management and Combination Based on Multi-Agent

机译:基于多Agent的分布式模型管理与组合方法

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摘要

To satisfy requirements of making scientific decision quickly and correctly in distributed network environment, a Multi-agent Model System (MAMS)was proposed which could implement distributed model management and combination. The structures of MAMS constituents-management agent and model agent were designed, and their functions and actions were analysed. The paper utilizes reverse reasoning technology to combine model agents dynamically and automatically and a process was then provided which applied several model agents to solve a complex problem. Finally, taking a decision making in product development as an example, the working process of MAMS was discussed. Compared with traditional model systems, MAMS endowed with functions of model remote calling & operation, automatic combining, which provided a new approach to build model system for decision supporting system in resolving complex problems.
机译:为了满足在分布式网络环境下快速正确做出科学决策的要求,提出了一种可以实现分布式模型管理和组合的多智能体模型系统(MAMS)。设计了MAMS成分管理代理和模型代理的结构,并对它们的功能和作用进行了分析。本文利用逆向推理技术动态自动地组合了模型主体,然后提供了一个应用多个模型主体解决复杂问题的过程。最后以产品开发决策为例,讨论了MAMS的工作过程。与传统的模型系统相比,MAMS具有模型远程调用,操作,自动组合等功能,为解决复杂问题的决策支持系统提供了一种新的模型系统。

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