1) coordination solution
协同求解
1.
Key techniques for implementation procedure of cost reduction system based on multi-Agent in product design phase were studied,four rules for task decomposition were presented and coordination solution procedure of multi-Agent for cost reduction was analyzed.
研究了产品设计阶段降低成本求解的多智能体系统的关键技术,提出了4条多智能体系统的任务分解规则,详细分析了多个求解智能体的协同求解过程。
2) Agent Cooperative Resolution
Agent协同求解
3) parallel cooperative solving
并行协同求解
1.
This paper presents the organizational principle and tactics for uncoupling design based on distributed parallel cooperative solving,describes the internal structure and functional models of the cooperative solving expert agent(EA),and also determines the mec.
作者介绍了基于分布式并行协同求解进行解耦设计的组织原则和策略，描述了协同求解智能主体的内部结构和功能模块，说明了每一智能主体的工作机理，并进而对协同求解过程中的通信机制作出初步设计。
4) cooperative AI problem solving
协同式AI问题求解
5) demand collaboration model
需求协同
1.
Using portrait data analysis,it calculates average weekly demand and sale ratio,locates the specific product in the demand collaboration model,defines production frequency and the synergies demand volume.
通过纵向分析历史数据,计算出客户平均的周需求量与销售比率,同时确定产品在需求协同模型中的位置,计算出生产频率和被均衡化的需求量。
6) coordination requirement
协同需求
1.
As coordination is an important character of this systems, the paper views application requirement as coordination requirement of system, extends Dooley graph using agent history and takes it as the coordination requirement, adopts finite state machine, skeleton, as behavior model of agent,the run dynamic.
agent间协同工作是此类系统的关键特征 ,将应用需求反映为系统的协同需求 ,以 agent历史扩展 Dooley图作为系统的协同需求 ,采用有限状态自动机 - - skeleton表示 agent行为模型 ,提高了 agent的运行动态配置
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