在顺序决策中促进人类学习:了解评估反的作用
Piyush Gupta1, Subir Biswas1, Vaibhav Srivastava1
1Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan, United States of America.
PloS one
|May 28, 2024
概括
人工智能驱动的反增强了决策和在连续任务中获得技能. 人类认为这种评价反是长期成功的关键,改善学习和战略转移.
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 有效的辅导系统对于认知康复和STEM技能获取至关重要.
- 人工智能驱动的辅导需要理解反对人类决策和学习的影响.
- 连续的决策任务,如河内塔,对于研究学习过程非常有价值.
研究的目的:
- 调查人工智能产生的评价反对人类决策在连续任务中的影响.
- 分析反如何影响学习,技能转移和隐性奖励结构.
- 探索将反纳入人类决策中的计算模型.
主要方法:
- 通过亚马逊机械土耳其人进行的人体实验.
- 参与者通过人工智能生成的反解决了河内塔的难题.
- 用最大逆增强学习和计算模型进行分析.
主要成果:
- 评估反被人类认为是长期战略成功的标志.
- 反显著帮助技能获取和转移在连续的决策任务.
- 与没有反相比,反促进了更有结构的学习体验;仅仅是中间目标并不能增强学习.
结论:
- 人工智能产生的评价反是一种强大的工具,可以增强人类在顺序决策中的学习.
- 了解人类如何处理反对于开发先进的AI辅导系统至关重要.
- 未来的研究应该专注于优化各种学习环境的反机制.
相关概念视频
Decision Making: Traditional Method
4.0K
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...
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...
4.0K
Decision Making
106
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...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
106
Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Reason and Intuition
6.4K
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...
6.4K
Cognitive Learning
237
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...
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...
237
Effects of feedback
548
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
548


