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相关概念视频

Concepts and Prototypes01:24

Concepts and Prototypes

182
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
182
Perception01:28

Perception

511
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
511
Cognitive Learning01:21

Cognitive Learning

432
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...
432
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

199
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
199
Factors Affecting Perception01:25

Factors Affecting Perception

1.6K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
1.6K
Observational Learning01:12

Observational Learning

213
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...
213

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相关实验视频

Updated: Jul 23, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

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在概念学习过程中感知和模拟.

Erik Weitnauer1, Robert L Goldstone1, Helge Ritter2

  • 1Department of Psychological and Brain Sciences, Program in Cognitive Science, Indiana University.

Psychological review
|July 13, 2023
PubMed
概括
此摘要是机器生成的。

人类在解决问题上的创造力包括为新概念创造新的描述. 物理Bongard问题 (PBPs) 通过要求对空间动态的感知来测试这一点,新的模型 (PATHS) 显示了与人类相似的学习模式.

更多相关视频

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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相关实验视频

Last Updated: Jul 23, 2025

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Published on: November 2, 2012

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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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科学领域:

  • 认知科学 认知科学
  • 人工智能的人工智能
  • 计算神经科学是一种神经科学.

背景情况:

  • 人类在解决问题上的创造力依赖于为新概念构建新的描述.
  • 庞加德问题 (BPs) 通过要求以有限的例子对视觉场景进行基于规则的分类来评估这种能力.
  • 物理Bongard问题 (PBPs) 通过结合空间动态的感知和预测来扩展这一点.

研究的目的:

  • 介绍和评估用于解决PBPs的感知和测试结构假设 (PATHS) 计算模型.
  • 将PATHS模型的性能与PBP上的人类类别学习进行比较.
  • 研究场景排序对人类和PATHS模型类别学习的影响.

主要方法:

  • 开发了PATHS计算模型来解决物理Bongard问题.
  • 向人类参与者和PATHS模型进行比较分析.
  • 分析了空间和时间场景排序对类别学习表现的影响.

主要成果:

  • PATHS模型证明了解决大量PBP的能力.
  • 人类和PATHS模型都受到PBP中的场景排序的影响.
  • 将相似的场景叠加在一起有助于类别不同时的类别学习,但当类别相同时会阻碍它.

结论:

  • PATHS模型的核心原则 - - 连续感知,上下文依赖处理,假设构建和双向交互 - - 可能反映了开放式的人类类类别学习.
  • 场景顺序是影响类别学习效率的关键因素,无论是在计算模型还是人类认知中.
  • 了解这些动态可以让我们深入了解创造性解决问题和概念形成背后的机制.