持续评估灵活到达控制和在线决策的成本
Antoine De Comite1,2,3, Philippe Lefèvre1,2, Frédéric Crevecoeur1,2
1Institute of Neuroscience, UCLouvain, Louvain-la-Neuve, Belgium.
PLoS computational biology
|September 27, 2023
概括
人类不断评估移动成本,以适应在线接触策略. 这种成本评估指导了灵活的目标选择和在完成任务时的控制调整.
科学领域:
- 神经科学是一个神经科学.
- 发动机控制器的控制器
- 认知科学 认知科学
背景情况:
- 人类到达的运动涉及在线调整以适应不断变化的条件.
- 运动控制策略迅速适应目标变化和外部干扰.
研究的目的:
- 调查假设,一个连续的决策变量,整合运动和认知因素,是在线控制调整的基础.
- 用一个框架来建模人类的接触行为,该框架将最佳反控制与实时成本评估相结合.
主要方法:
- 开发了一个理论框架,将最佳反控制器与实时预期成本评估结合起来.
- 将目标和移动相关的成本纳入成本计算中.
- 将模型与人类行为数据进行验证,包括对目标变化和干扰的响应.
主要成果:
- 该模型成功地复制了人类行为适应在运动期间改变的目标结构的行为适应.
- 该模型复制了在线决策,在外部干扰后改变运动目标.
- 该模型预测,新目标选择的决策时间取决于干扰幅度和选项奖励,与实证数据一致.
结论:
- 到达控制是通过持续评估成本的在线更新.
- 这种持续的监控有助于对运动目标作出有效的决策.
- 在决策变量中,运动和认知组件的整合解释了适应性达到行为.
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