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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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一种用于模拟人类翻译过程的活跃推理代理.

Michael Carl1

  • 1Department of Modern and Classical Language Studies, Kent State University, Kent, OH 44240, USA.

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PubMed
概括
此摘要是机器生成的。

本研究概述了一个人工代理架构,使用主动推理 (AIF) 和预测处理 (PP) 建模人类翻译. 这个框架有助于模拟翻译变异和探索认知机制.

关键词:
积极的推理推理.预测性处理是一种预测性处理.一个翻译代理,一个翻译代理.翻译过程研究 翻译过程研究

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科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 计算语言学 计算语言学

背景情况:

  • 人类翻译涉及复杂的认知过程.
  • 积极推断 (AIF) 和预测处理 (PP) 为理解感知和行动提供了框架.
  • 现有的模型可能无法完全捕捉人类翻译的细微差别.

研究的目的:

  • 为人工翻译代理提供一种新的,层次化的嵌入式架构.
  • 通过使用AIF和PP的原则来建模人类翻译过程.
  • 为研究翻译背后的心理机制提供一个计算框架.

主要方法:

  • 开发一个三层代理架构:感官运动,认知和现象.
  • 适用于AIF原则,其中状态是依据观察和行动过渡的条件.
  • 模拟不同时间尺度上运行的层之间的相互作用.

主要成果:

  • 拟议的架构整合了用于翻译建模的预测处理和主动推理.
  • 该模型允许模拟翻译行为的变化.
  • 该框架促进了关于翻译思想的假设的生成和测试.

结论:

  • 层次嵌入的AIF代理提供了一种新的计算方法来研究人类翻译.
  • 这个模型为探索翻译的认知和现象方面提供了测试平台.
  • 该框架提升了我们对预测,行动和翻译之间的相互作用的理解.