多维关联判断中的类量子结构
Quantum-like Structure in Multidimensional Relevance Judgements
摘要：
认知科学中的大量研究表明，某些人类决策的概率结果与经典概率论的公理不一致。量子认知领域提供了另一种概率模型来解释这种矛盾的发现。它假定认知系统具有潜在的量子结构，特别是在不确定性下的决策过程中。在本文中，我们假设，关联判断，是一个多维的，认知的概念，可以用来探索量子结构的建模用户的认知状态在信息搜索。从一个受量子物理学中Stern-Gerlach实验启发的实验协议扩展，我们设计了一个众包用户研究，以证明违反了Kolmogorovian概率公理作为量子结构的证明，并提供了量子概率模型和贝叶斯模型之间的比较，以预测相关性。
英文摘要：
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. The field of Quantum Cognition provides an alternative probabilistic model to explain such paradoxical findings. It posits that cognitive systems have an underlying quantum-like structure, especially in decision-making under uncertainty. In this paper, we hypothesise that relevance judgement, being a multidimensional, cognitive concept, can be used to probe the quantum-like structure for modelling users' cognitive states in information seeking. Extending from an experiment protocol inspired by the Stern-Gerlach experiment in Quantum Physics, we design a crowd-sourced user study to show violation of the Kolmogorovian probability axioms as a proof of the quantum-like structure, and provide a comparison between a quantum probabilistic model and a Bayesian model for predictions of relevance.
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