论文标题

多维相关性判断中的量子状结构

Quantum-like Structure in Multidimensional Relevance Judgements

论文作者

Uprety, Sagar, Tiwari, Prayag, Dehdashti, Shahram, Fell, Lauren, Song, Dawei, Bruza, Peter, Melucci, Massimo

论文摘要

认知科学的大量研究表明,某些人类决策的概率结果与经典概率理论的公理不符。量子认知领域提供了一种替代概率模型来解释这种矛盾的发现。它认为认知系统具有基本的量子样​​结构,尤其是在不确定性下的决策中。在本文中,我们假设相关性判断是一种多维,认知概念,可用于探测类似量子的结构,以在信息寻求信息中对用户的认知状态进行建模。我们从量子物理学的船尾 - grach实验启发的实验协议延伸时,我们设计了一项众包用户研究,以显示违反Kolmogorovian概率公理的侵犯,以证明量子样结构的证明,并提供了量子概率模型与相关性预测bayesian模型之间的比较。

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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