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相关概念视频

Cognitive Learning01:21

Cognitive Learning

144
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...
144
Introduction to Learning01:18

Introduction to Learning

321
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
321
Behaviorism01:28

Behaviorism

2.2K
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...
2.2K
Purposive Learning01:22

Purposive Learning

96
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
96
Attribution Theory00:56

Attribution Theory

12.9K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
12.9K
What is Behavior?00:54

What is Behavior?

8.9K
Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.
8.9K

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相关实验视频

Updated: May 24, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
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The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

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积极的推断和故意的行为.

Karl J Friston1,2, Tommaso Salvatori3, Takuya Isomura4

  • 1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London WC1N 3AR, U.K.

Neural computation
|March 3, 2025
PubMed
概括
此摘要是机器生成的。

基础认知和感知行为可以从神经网络中出现,如自我组织原理所示. 这项研究通过积极推断和模拟来正式化反应性,感知性和故意行为.

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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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相关实验视频

Last Updated: May 24, 2025

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

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Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
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科学领域:

  • 理论生物学 理论生物学
  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能

背景情况:

  • 基础认知和感知行为可能来自体外细胞培养和神经网络.
  • 神经网络在与信息景观交互时表现出结构化的行为.
  • 自由能源原则为理解自我组织作为自我证明提供了一个框架.

研究的目的:

  • 通过自由能量原理的镜头来描述神经网络中的自我组织.
  • 在主动推理中,定义和区分反应性,感知性和故意行为.
  • 在实验室实验和机器学习基准的模拟中调查新出现的行为.

主要方法:

  • 利用主动推理对预测行动后果的模型代理进行推理.
  • 介绍了由潜在状态中首选的终点驱动的故意行为的正式解释.
  • 在实验室中模拟的神经元培养,玩一个简化的Pong游戏,观察自我组织.
  • 应用机器学习基准 (世界导航网格,河内塔) 来研究适应性行为.

主要成果:

  • 神经元文化调节了活动以改善游戏玩法,展示了嵌套的,最小化自由能量的过程.
  • 模拟区分了反应性,有意识和故意的行为.
  • 使用诱导推理将故意行为正式化.
  • 适应性行为在诱导性主动推理下迅速有效地出现.

结论:

  • 神经网络的新兴特性,如基础认知和感知,可以通过自我证明和积极推断来理解.
  • 这项研究提供了反应性,感知性和故意性行为之间的正式区别.
  • 主动推断,特别是感应形式,有助于人工智能中高效的适应性行为出现.