Turing Video-based Cognitive Tests to Handle Entangled Concepts

Diederik Aerts, Roberto Leporini, Sandro Sozzo
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Abstract

We have proved in both human-based and computer-based tests that natural concepts generally `entangle' when they combine to form complex sentences, violating the rules of classical compositional semantics. In this article, we present the results of an innovative video-based cognitive test on a specific conceptual combination, which significantly violates the Clauser--Horne--Shimony--Holt version of Bell's inequalities (`CHSH inequality'). We also show that collected data can be faithfully modelled within a quantum-theoretic framework elaborated by ourselves and a `strong form of entanglement' occurs between the component concepts. While the video-based test confirms previous empirical results on entanglement in human cognition, our ground-breaking empirical approach surpasses language barriers and eliminates the need for prior knowledge, enabling universal accessibility. Finally, this transformative methodology allows one to unravel the underlying connections that drive our perception of reality. As a matter of fact, we provide a novel explanation for the appearance of entanglement in both physics and cognitive realms.
基于图灵视频的认知测试,处理纠缠不清的概念
我们已经在基于人类和计算机的测试中证明,自然概念在组合成复杂句子时通常会 "纠缠 "在一起,这违反了经典构成语义学的规则。在这篇文章中,我们展示了一个创新的基于视频的认知测试结果,该测试针对的是一个特定的概念组合,它严重违反了贝尔不等式("CHSHinequality")的克劳泽--霍恩--希莫尼--霍尔特(Clauser--Horne--Shimony--Holt)版本。我们还表明,收集到的数据可以在我们自己制定的量子理论框架内忠实地建模,并且在各组成概念之间存在 "强纠缠形式"。基于视频的测试证实了之前关于人类认知中纠缠的实证结果,而我们开创性的实证方法超越了语言障碍,消除了对先验知识的需求,实现了普遍可及性。事实上,我们为物理和认知领域出现的纠缠提供了新的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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