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相关概念视频

Agonism and Antagonism: Quantification01:14

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When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
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在基于代理的模型中捕捉参数

Leon Assaad1, Rafael Fuchs2, Kirsty Phillips3

  • 1Munich Center for Mathematical Philosophy, LMU, Geschwister-Scholl-Platz 1, 80539 Munich, Bavaria Germany.

Topoi : an international review of philosophy
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PubMed
概括
此摘要是机器生成的。

基于代理的模型 (ABM) 可以通过将参数区分为理由,语法和辩证法来建模复杂的参数. 使用贝叶斯网络的NormAN框架提供了一种比较这些模型和研究论证扩散的新方法.

关键词:
基于代理的建模论证方式贝叶斯认识论辩证法社会认识论

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科学领域:

  • 计算社会科学
  • 人工智能
  • 认知科学

背景情况:

  • 基于代理的模型 (ABM) 是用于研究复杂系统和新出现的特性.
  • 对于在线社交媒体和科学话语来说, ABM 的信念和观点动态都很重要.
  • 现有的ABM没有完全捕捉到丰富的论证场景.

研究的目的:

  • 引入一个基于代理的论证模型的框架.
  • 区分和分析论证的三个概念:理由,语法和辩证法.
  • 提供一个组织方案来比较和选择参数模型.

主要方法:

  • 区分论据作为命题内容 (理由),前提-结论关系 (语义) 和对话部署 (辩证法).
  • 使用NormAN框架,在贝叶斯网络上构建ABM,作为参考模型.
  • 分析模型中的复杂性连续性.

主要成果:

  • 一个新的组织方案来比较和选择基于代理的论证模型.
  • 阐明三种论证概念如何相互约束.
  • 证明NormAN框架能够捕捉熟悉的论证方面以及对论证传播的辩证影响.

结论:

  • 基于代理的模型可以有效地代表复杂的论证,包括辩证方面.
  • 该NormAN框架提供了一个模拟参数交换的多功能方法.
  • 进一步的研究可以探索辩证考量如何影响群体中的论点传播.