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1)  meta-level reasoning
元级推理
1.
An Agent architecture which is efficient,extensible and easy implementation was given by the improvement in famous BDI Agent model and the introduction of the meta-level reasoning technology.
通过对著名的BDIAgent模型进行改进,并引入元级推理机制而给出了一个适合开放环 境的Agent体系结构。
2)  hierarchical reasoning
分级推理
1.
Based on this,a multi-objective hierarchical reasoning strategy is proposed and the ratio optimization setting is realized.
在此基础上,提出了多目标分级推理决策,实现了配比的优化设定。
3)  scalar reasoning
梯级推理
1.
Scalar implicatures are based on scalar reasoning, which is so pervasive in problem-solving, planning and communication.
人们在解决问题、进行筹划和言语交流时常常使用梯级推理。
4)  multistage reasoning mechanisms
多级推理
1.
Based on expert knowledge and support of the decision-making model,multistage reasoning mechanisms is utilized,including the restriction filtration,the conflict filtration and comprehensive evaluation decision-making,quickly obtained resources deployment project.
针对临近空间成像资源配置的多目标组合优化特性,为了降低该问题的求解难度,迅速求解合理可行的临近空间成像资源配置方案,研究了融合决策支持模型的专家决策系统,建立了专家知识库、决策推理机以及规则管理模块,基于专家知识、决策支持模型,运用多级推理机制,其多级推理机制主要包括约束过滤、冲突过滤与综合评价决策,求解临近空间资源配置方案。
5)  rcasoning unit
推理单元
6)  Meto inference mechanism
元推理机制
补充资料:演绎推理(见推理)

  
  演绎推理(见推理)
  deductive inference

  住理。yanyl tullj演绎推理(deduetive infer。二ee)见
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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