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相关概念视频

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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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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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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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 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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Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

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Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...
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An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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在高速决策中学习和认知.

Martin Krause1, Wolfram Schulze1, Stefan Schuster1

  • 1Department of Animal Physiology, University of Bayreuth, Bayreuth, Germany.

eLife
|June 25, 2025
PubMed
概括
此摘要是机器生成的。

射箭鱼表现出了显著的认知灵活性,将其高速捕获猎物的决策重新编程为新的规则. 这种快速,准确的决策挑战了关于动物认知的速度-准确性权衡的假设.

关键词:
眼决定的决定动物认知动物的认知能力启发式听觉学是一种启发式听觉学.神经科学 神经科学这是一个反射的反射反射反射.基于规则的决策方式速度-精度的权衡是速度-精度的权衡.紧急决策 紧急的决策

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科学领域:

  • 动物行为 动物行为
  • 神经科学是一个神经科学.
  • 认知科学 认知科学

背景情况:

  • 高速决策通常依赖于启发式,以速度换取准确度.
  • 射箭鱼表现出快速,准确的猎物捕获使用弹道落预测.
  • 这种快速决策的灵活性在很大程度上仍未被探索.

研究的目的:

  • 为了研究弓箭鱼高速决策的灵活性.
  • 为了确定弓箭鱼是否能够将其决策规则适应新条件.
  • 探索快速适应行为背后的认知机制.

主要方法:

  • 开发了一个系统来改变猎物着陆点的预测规则.
  • 测试了成年弓箭鱼适应新规则的能力.
  • 评估了对未经训练的场景的概括和双重规则的应用.

主要成果:

  • 射箭鱼成功地将其高速决策重新编程为一种新奇的规则.
  • 鱼立即将新规则概括为未经训练的情况.
  • 决策回路展示了抽象和同时使用不同的规则.

结论:

  • 射箭鱼在高速决策中表现出意想不到的认知灵活性.
  • 这挑战了快速决策中固有的速度准确性权衡的概念.
  • 高速决策系统具有显著的适应潜力,但往往被低估.