陷入局是动态决策系统的一个新兴特征
Matthew Warburton1, Jack Brookes1,2, Mohamed Hasan3
1School of Psychology, University of Leeds, Leeds, UK.
Royal Society open science
|April 5, 2024
概括
人类感官运动决策表现出歇斯底里症,偏向于先前选择的行动. 这项研究表明,歇斯底里产生于学习行动后果,而不仅仅是通过计算建模支持的高效规划.
科学领域:
- 认知神经科学 认知神经科学
- 人类运动控制人体运动控制
- 计算建模 计算建模
背景情况:
- 人类的感觉运动决策通常表现为歇斯底里症,即对先前选择的行动结构的偏见.
- 目前的理论认为这是由于有效的计划修改而不是创建新计划.
研究的目的:
- 调查歇斯底里斯作为从行动后果中学习的新兴属性.
- 提供一个计算模型来解释这种在感觉运动控制中的现象.
主要方法:
- 152名参与者在平板电脑上执行了指针到目标的任务,避免了顺序移动的障碍物.
- 另外两次实验,每次有20名参与者,测试了条件,缓解了时间和资源限制.
- 开发了一个模拟概率估计更新的计算模型.
主要成果:
- 观察到歇斯底里症,参与者继续使用以前喜欢的动作侧面,即使在次优时也是如此.
- 减少时间和资源的限制减弱了观察到的歇斯底里效应.
- 计算模型复制了观察到的行为模式.
结论:
- 感觉运动决策中的歇斯底里症来自于学习和更新与行动相关的概率估计的过程.
- 这挑战了现有的解释,并为运动控制偏差提供了一个新的计算视角.
- 这些发现强调了概率学习在塑造习惯性运动反应中的作用.
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