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相关概念视频

Reason and Intuition01:37

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Updated: Jun 12, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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群体可以是理性的.

Gal A Kaminka1

  • 1Department of Computer Science & Gonda Brain Science Center & BINA Nano-Technology Center Bar Ilan University, Bar Ilan University, Israel.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
|January 29, 2025
PubMed
概括
此摘要是机器生成的。

合作群体通过个人行动实现集体目标,最大限度地提高群体的效用,即使以个人代价. 这项研究表明,本地奖励如何在群体系统中调整个人和集体的理性.

关键词:
集体情报是一种集体情报.分布式情报 分布式情报游戏理论的游戏理论.多机器人系统是多机器人系统.理性的合理性群体成群结队,成群结队,成群结队.

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科学领域:

  • 跨学科的研究涵盖了生物学,社会学,计算机科学,机器人学,物理学和经济学.
  • 专注于群体智能和集体行为系统.

背景情况:

  • 合作群体表现出令人困惑的行为,个人采取行动以最大限度地提高集体效用,似乎与个人理性相矛盾.
  • 合作群中的个体在没有充分了解它们对集体的影响的情况下做出决定.

研究的目的:

  • 解决合作群的悖论,即个人行为以个人代价造福集体.
  • 为了证明个人理性如何与集体实用最大化在群体系统中的协调.

主要方法:

  • 利用游戏理论,机器学习和机器人模拟来模拟群体行为.
  • 将集体效益转化为地方可衡量的个人奖励.

主要成果:

  • 提出了一种新的奖励系统,根据互动解决速度,个人工作时间和对他人的影响,奖励个人行为.
  • 通过学习实现这些内部奖励的独立最大化,导致稳定的平衡.
  • 这种平衡确保了个人的学习反应同时最大限度地提高了个人奖励和集体效用.

结论:

  • 这项研究在合作群体系统中协调了个人和集体的理性.
  • 拟议的机制允许个人理性地采取有利于整个群体的行动.
  • 这个框架为设计更有效,更协调的群体系统提供了基础.