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相关概念视频

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Reason and Intuition01:37

Reason and Intuition

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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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Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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不对称的量子决策.

Honoka Shiratori1, Hiroaki Shinkawa2, André Röhm2

  • 1Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8656, Japan. 8308123768hs@g.ecc.u-tokyo.ac.jp.

Scientific reports
|September 5, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用量子过程的不对称集体决策. 研究人员开发了方法来实现量子决策中所需的不对称性,解决系统差异.

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科学领域:

  • 量子信息科学 量子信息科学
  • 决策理论 决策理论
  • 通信系统 通信系统

背景情况:

  • 集体决策对于信息系统至关重要,但经常受到代理冲突的阻碍.
  • 现有的无冲突决策量子方法产生对称的结果,无法解决不平等问题.
  • 全球挑战需要决策系统来解决,而不仅仅是维持平等.

研究的目的:

  • 通过量子干扰来调查和证明不对称的集体决策.
  • 开发理论和数值模型,以实现量子辅助决策中的不对称性.
  • 提供一个框架来控制集体决策中的不对称度.

主要方法:

  • 对不对称的集体决策进行理论和数值研究.
  • 利用带有轨道角动量 (OAM) 的光子的量子干扰.
  • 使用纠的光子进行量子辅助决策.

主要成果:

  • 成功展示了不对称的集体决策.
  • 为可实现的不对称性范围开发分析公式.
  • 确定获得特定度不对称度的方法.
  • 在拟议的模型中承认不可避免的光子损失.

结论:

  • 不对称的量子集体决策是可以实现和可控制的.
  • 开发的框架提供了一条解决集体决策差异的途径.
  • 未来的工作可能会专注于减轻光子损失以提高系统性能.