School of Electrical and Electronic Engineering, University of Adelaide.
Top Cogn Sci. 2013 Oct;5(4):818-43. doi: 10.1111/tops.12045. Epub 2013 Sep 9.
In recent years quantum probability models have been used to explain many aspects of human decision making, and as such quantum models have been considered a viable alternative to Bayesian models based on classical probability. One criticism that is often leveled at both kinds of models is that they lack a clear interpretation in terms of psychological mechanisms. In this paper we discuss the mechanistic underpinnings of a quantum walk model of human decision making and response time. The quantum walk model is compared to standard sequential sampling models, and the architectural assumptions of both are considered. In particular, we show that the quantum model has a natural interpretation in terms of a cognitive architecture that is both massively parallel and involves both co-operative (excitatory) and competitive (inhibitory) interactions between units. Additionally, we introduce a family of models that includes aspects of the classical and quantum walk models.
近年来，量子概率模型已被用于解释人类决策的许多方面，因此量子模型被认为是基于经典概率的贝叶斯模型的一种可行替代品。经常有人对这两种模型提出批评，认为它们缺乏对心理机制的明确解释。在本文中，我们讨论了人类决策和反应时间的量子游走模型的机械基础。将量子游走模型与标准的顺序抽样模型进行比较，并考虑了这两种模型的体系结构假设。特别是，我们表明，量子模型可以根据一种认知体系结构进行自然解释，该体系结构既具有大规模并行性，又涉及单元之间的合作（兴奋）和竞争（抑制）相互作用。此外，我们引入了一系列模型，其中包括经典和量子游走模型的各个方面。
