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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

905
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
905
The Behavioral Perspective on Personality01:19

The Behavioral Perspective on Personality

437
Behaviorists view personality as primarily shaped by environmental reinforcements and consequences. According to this perspective, behavior is influenced by external stimuli, and individuals adjust their actions based on rewards and punishments. Over time, learning histories — accumulated patterns of reinforcement — play a significant role in shaping personality. Behaviors that lead to positive outcomes are reinforced, while those resulting in negative outcomes are diminished.
437
Law of Effect01:06

Law of Effect

1.6K
B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
1.6K
Behaviorism01:28

Behaviorism

2.7K
The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...
2.7K
Decision Making01:20

Decision Making

234
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...
234
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.2K
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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相关实验视频

Updated: Sep 14, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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用行为理论和机器学习来预测人类的决策.

Ori Plonsky1, Reut Apel2, Eyal Ert3

  • 1Technion - Israel Institute of Technology, Haifa, Israel. plonsky@technion.ac.il.

Nature human behaviour
|July 21, 2025
PubMed
概括

一个新的混合模型,BEAST梯度增强 (BEAST-GB),准确地预测了人类面临风险的决策. 这种方法将行为理论与机器学习相结合,优于现有的模型和神经网络.

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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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相关实验视频

Last Updated: Sep 14, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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科学领域:

  • 认知科学 认知科学
  • 机器学习 机器学习
  • 行为经济学是一种行为经济学.

背景情况:

  • 在风险和不确定性下预测人类的决策是一个持续的挑战.
  • 现有的模型在像彩票选择这样的简化场景中经常失败.

研究的目的:

  • 介绍BEAST梯度提升 (BEAST-GB),这是一个混合模型,结合了行为理论和机器学习.
  • 评估BEAST-GB的预测准确度和概括能力.

主要方法:

  • 通过将BEAST行为理论与机器学习相结合,开发了BEAST梯度增强 (BEAST-GB).
  • 在CPC18竞赛中测试了BEAST-GB,用于预测风险选择.
  • 在两个大型数据集上对神经网络和现有的行为模型进行了验证.

主要成果:

  • 在CPC18比赛中,BEAST-GB赢得了冠军.
  • 与神经网络和众多行为模型相比,实现了更高的预测准确度.
  • 在各种不同的实验环境中展示了强大的概括性.

结论:

  • 将机器学习与行为理论相结合,可以提高对人类决策的预测能力.
  • BEAST-GB为理解和预测行为提供了一个强大的框架,甚至可以改进底层理论.