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相关概念视频

Operant Conditioning Intervention01:24

Operant Conditioning Intervention

34
Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
34
Behavior Modification01:21

Behavior Modification

123
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...
123
Persuasion Strategies01:52

Persuasion Strategies

38.4K
Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
38.4K
Operant Conditioning01:21

Operant Conditioning

1.5K
Operant conditioning, a key concept in behavioral psychology, involves using reinforcement and punishment to alter the likelihood of a behavior being repeated. B.F. introduced this type of conditioning. Skinner focused on voluntary behaviors and the consequences that follow them, influencing whether these behaviors will be strengthened or diminished.
Reinforcement in operant conditioning can be positive or negative, both of which serve to increase the likelihood of a behavior. Positive...
1.5K
Purposive Learning01:22

Purposive Learning

97
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...
97
Timing and Consequences on Behavior01:08

Timing and Consequences on Behavior

75
In operant conditioning, the timing of reinforcement is crucial. For animals like rats and cats, immediate reinforcement (within a few seconds) is much more effective than delayed reinforcement. For example, a food reward for a rat needs to follow within 30 seconds of pressing a bar to be effective. 
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
75

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相关实验视频

Updated: May 26, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

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在运行需求框架中的自适应性采购任务.

Shawn P Gilroy1, Mark J Rzeszutek2, Mikhail N Koffarnus2

  • 1Department of Psychology, Louisiana State University.

Experimental and clinical psychopharmacology
|February 24, 2025
PubMed
概括

本研究引入了一项适应性任务,该任务可以在没有复杂非线性回归的情况下估计峰值工作 (P_MAX). 该方法有效地揭示了增强器消费模式,表明更简单的方法可以对操作需求产生有价值的见解.

科学领域:

  • 行为经济学是一种行为经济学.
  • 操作者调节的条件.
  • 量化心理学 量化心理学

背景情况:

  • 量化强化剂对行为影响至关重要.
  • 传统的运算需求模型经常使用非线性回归 (例如,Hursh & Silberberg,2008).
  • 这些模型具有优势,但在应用中也有权衡.

研究的目的:

  • 介绍并展示操作员需求评估的适应性任务.
  • 在不依赖于非线性回归的情况下,阐明操作需求的关键特征.
  • 使用一种新的方法,估计参与者级峰值工作 (P_MAX).

主要方法:

  • 开发了一个使用强化学习的适应性任务.
  • 系统指导的询问以估计P_MAX.
  • 在四个代长度 (5,10,15,20个问题) 中评估了算法.
  • 使用模拟剂反应的等价性测试.

主要成果:

  • 具有五个或更多连续更新问题的任务产生了统计学上相当于种子值的P_MAX值.
  • 证明非线性回归可能不必用于分析增强剂消耗.
  • 展示了揭示消费如何与价格相匹配的能力.

更多相关视频

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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Operant Procedures for Assessing Behavioral Flexibility in Rats
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相关实验视频

Last Updated: May 26, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

5.9K
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

15.3K
Operant Procedures for Assessing Behavioral Flexibility in Rats
08:30

Operant Procedures for Assessing Behavioral Flexibility in Rats

Published on: February 15, 2015

20.8K

结论:

  • 一个基于强化学习的适应性任务可以有效地估计P_MAX.
  • 这种方法为操作需求分析提供了复杂非线性回归的可行替代方案.
  • 这些发现支持更简单的方法来了解消费者需求,并加强扩展.