潜在的潜在价值更新的基础上的计算机制,不选择的行动
Ido Ben-Artzi1,2,3, Yoav Kessler4, Bruno Nicenboim5
1School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
Science advances
|October 20, 2023
概括
即使没有反,人们也会更新未选择的选项的值,整合选择和拒绝的行动结果. 审议的困难没有影响决策中的这种潜在价值更新.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 决策科学科学 决策科学
背景情况:
- 个人通常从与他们的选择相关的反中学习.
- 目前尚不清楚未选选项的值是否会在没有直接反的情况下更新.
研究的目的:
- 为了调查个人是否在未知反时更新未选动作的值.
- 探索未选选项的价值更新背后的机制.
主要方法:
- 178名参与者接受了一项多重武装强盗任务.
- 计算建模用于分析价值更新机制.
主要成果:
- 发现了强有力的证据,表明未选择的行动的潜在价值更新受选择的行动结果的影响.
- 价值更新主要是由选择和拒绝选项的结果历史记录的整合推动的.
- 像持续时间和难度这样的审议属性并没有缓解这种潜在值更新.
结论:
- 人类决策涉及更新未选择的行动的价值,即使没有明确的反.
- 这表明复杂的信用分配机制超出了简单的结果观察.
- 来自深思熟虑的记忆痕迹似乎对这种特定的潜在值更新现象不那么重要.
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