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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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...
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Behaviorism01:28

Behaviorism

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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...
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Behavior Modification01:21

Behavior Modification

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Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
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Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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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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Observational Learning01:12

Observational Learning

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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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逆转问题:为什么算法应该推断心理状态,而不仅仅是预测行为?

Jon Kleinberg1, Jens Ludwig2, Sendhil Mullainathan3

  • 1Department of Computer Science, Cornell University.

Perspectives on psychological science : a journal of the Association for Psychological Science
|December 12, 2023
PubMed
概括
此摘要是机器生成的。

机器学习算法经常预测可观测的行为,但其目的是推断未被观察到的心理状态,创造"反转问题". 需要整合行为和计算科学的新工具来弥合这个差距,以便准确地建模人类行为.

关键词:
算法算法是一种算法.偏见 偏见 偏见 偏见在决策过程中做出决定.启发式听觉学是一种启发式听觉学.

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科学领域:

  • 计算社会科学 计算社会科学
  • 行为科学 行为科学
  • 机器学习伦理学 机器学习伦理学

背景情况:

  • 机器学习越来越多地用于预测人类行为.
  • 算法通常预测可观察到的行为 (例如点击,诊断),但旨在推断潜在的心理状态 (例如偏好,判断).
  • 这种差异在算法设计和应用中造成了一个重要的,经常被忽视的问题.

研究的目的:

  • 为了识别和定义的目标.

主要方法:

  • 基于心理学和行为科学的概念分析.
  • 检查推系统和医学诊断中的案例研究.
  • 论证新的跨学科工具的必要性.

主要成果:

  • 确定了一个名为"倒置问题"的无处不在的问题,其中算法预测了预期的心理状态的代理,而不是直接测量所需的心理状态.
  • 心理学洞察力揭示了为什么行为数据可以成为真正目标的糟糕代理 (例如,无意识的点击,专家疲劳).
  • 目前的机器学习方法不足以解决这些反转问题.

结论:

  • 解决反转问题需要超越直接的行为预测.
  • 整合行为和计算科学的新方法对于准确建模人类精神状态至关重要.
  • 解决这些问题对于负责任的开发和部署机器学习在以人为中心的应用程序中至关重要.