论文标题
Qulbit：类似量子的贝叶斯推理技术认知和决策
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision
论文作者
论文摘要
本文提供了统一的认知决策框架（Qulbit）的基础，该框架源自量子理论。该框架的主要优点是它可以迎合矛盾和非理性的人类决策。尽管认知的量子方法表明，与经典的概率方法和有限的理性模型相比，它们仍然缺乏解释力。为了解决这个问题，我们介绍了对决策者的信仰空间的新颖解释性分析。这是通过利用量子干扰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，即解释性分析方法，并在违反了肯定的情况下说明了它们的应用。
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.
