解开个人和社会学习过程在人类咨询行为中的贡献
Maayan Pereg1,2,3,4, Uri Hertz5,6, Ido Ben-Artzi7,8,9
1School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel. maayanru@tauex.tau.ac.il.
NPJ science of learning
|January 20, 2024
概括
个人可靠地从建议中学习,表现出明显的社会学习策略,超越试错. 计算模型揭示了知情和非知情的建议对行为有独特的贡献.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 社会学习,包括观察,模仿和遵守建议,对于获得知识至关重要.
- 社会学习与非社会试错学习的独立贡献仍然不清楚.
研究的目的:
- 调查社会学习的独特作用,特别是咨询,在行为.
- 使用计算建模,区分个人学习和各种咨询策略.
主要方法:
- 153名参与者完成了强化学习任务,并没有人工教师的建议.
- 用计算建模分析行为数据,以确定不同的学习策略.
- 评估了遵循建议的测试-重新测试可靠性.
主要成果:
- 参与者表现出强烈而可靠的倾向,遵循建议 (测试-重新测试可靠性~0.73).
- 计算建模确定了三个不同的策略:个人学习,知情咨询和非知情咨询.
- 确定了行为签名,用于知情和非知情的咨询.
结论:
- 社会学习,特别是咨询,提供了超越个人学习行为独特的贡献.
- 这些发现强调了学习过程中内部和外部信息的整合.
- 了解这些不同的策略有助于推进社会学习和决策理论.
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