Social and Decision Sciences Department, Dynamic Decision Making Laboratory, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Behav Brain Sci. 2013 Jun;36(3):285-6. doi: 10.1017/S0140525X12002956.
Quantum probability (QP) theory provides an alternative account of empirical phenomena in decision making that classical probability (CP) theory cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP. They provide simple and natural explanations of these phenomena based on general cognitive processes such as memory retrieval, similarity-based partial matching, and associative learning.
量子概率（QP）理论为经典概率（CP）理论无法解释的决策中的经验现象提供了另一种解释。认知架构将概率机制与基于符号知识的表示（例如，启发式）相结合，以解决激发 QP 的影响。它们基于一般认知过程（例如，记忆检索、基于相似性的部分匹配和联想学习）为这些现象提供了简单而自然的解释。
