QuLBIT：用于认知和决策的类量子贝叶斯推理技术
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
摘要：
本文提供了一个统一的认知决策框架（QulBIT）的基础，这是来自量子理论。这个框架的主要优点是，它可以满足矛盾和非理性的人类决策。虽然量子认知方法已经证明了优于经典概率方法和有限理性模型的优势，但它们仍然缺乏解释力。为了解决这个问题，我们引入了一个新的解释性分析的决策者的信念空间。这是通过利用量子干涉效应作为量化和解释决策者的不确定性的一种方式来实现的。我们详细介绍了统一框架的主要模块，解释性分析方法，并说明了它们在违反确定性原则的情况下的应用。
英文摘要：
This paper provides the foundations of a unified cognitive decision-making framework (QulBIT) which is derived from quantum theory. The main advantage of this framework is that it can cater for paradoxical and irrational human decision making. Although quantum approaches for cognition have demonstrated advantages over classical probabilistic approaches and bounded rationality models, they still lack explanatory power. To address this, we introduce a novel explanatory analysis of the decision-maker's belief space. This is achieved by exploiting quantum interference effects as a way of both quantifying and explaining the decision-maker's uncertainty. We detail the main modules of the unified framework, the explanatory analysis method, and illustrate their application in situations violating the Sure Thing Principle.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
