接地计算认知模型的基础
Casimir J H Ludwig1, Erik Stuchlý2, Gaurav Malhotra3
1School of Psychological Science, University of Bristol.
Psychological review
|January 6, 2025
概括
计算模型通过将机制映射到行为中来解释认知. 然而,他们经常忽视的是,行为是由通过认知状态空间的动态轨迹引起的,而不是固定位置.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
背景情况:
- 计算模型在认知科学和神经科学中越来越多地用于解释心理功能并预测认知,大脑活动和行为.
- 这些模型将实验效应和个体差异等现象与潜在的认知机制联系起来,定义了一个"认知状态空间".
研究的目的:
- 检查认知科学和神经科学中基于模型的推断的理由和实践.
- 认为当前基于模型的解释缺少一个关键的组成部分:理解 *为什么* 和 *如何* 代理人在认知状态空间内移动.
主要方法:
- 审查实验设计和基于模型的数据分析的现有研究实践.
- 使用模拟来证明从忽视认知状态空间穿越的动态方面产生的推断陷.
- 在认知状态空间内分析运动的约束,代理目标和指导机制.
主要成果:
- 基于模型的解释往往无法解释行为的动态性质,这是通过认知状态空间的轨迹而不是静态位置的结果.
- 忽视代理人的视角和运动动态会导致理解认知变化的推断陷.
结论:
- 承认一个代理人在认知状态空间中的位置不是固定的,而是一个轨迹,对于更完整的认知和行为解释至关重要.
- 专注于代理人的观点,包括运动约束,目标和指导机制,提高了对随时间,环境和个人/人群之间的变化的理解.
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