论文标题
双重过程控制的统一理论
A Unified Theory of Dual-Process Control
论文作者
论文摘要
双重处理理论在心理学和神经科学中都起着核心作用，在从执行控制到基于奖励的学习再到判断力和决策的领域中突出地表明。在这些域中的每个域中，两种机制似乎同时运行，一个机制在计算复杂性上相对较高，另一个相对简单。为什么通过这种方式组织神经信息处理？我们根据压缩概念提出了这个问题的答案。关键见解是，双过程结构可以通过允许代理来最大程度地减少其自身行为的描述长度来增强自适应行为。我们将基于此观察结果的单个模型应用于有关执行控制，基于奖励的学习以及判断和决策的研究结果，表明看似多样化的双过程现象可以理解为一组基础计算原理的特定领域后果。
Dual-process theories play a central role in both psychology and neuroscience, figuring prominently in fields ranging from executive control to reward-based learning to judgment and decision making. In each of these domains, two mechanisms appear to operate concurrently, one relatively high in computational complexity, the other relatively simple. Why is neural information processing organized in this way? We propose an answer to this question based on the notion of compression. The key insight is that dual-process structure can enhance adaptive behavior by allowing an agent to minimize the description length of its own behavior. We apply a single model based on this observation to findings from research on executive control, reward-based learning, and judgment and decision making, showing that seemingly diverse dual-process phenomena can be understood as domain-specific consequences of a single underlying set of computational principles.
