在驾驶员模型中形成个体成分的认知因素，从认知子因素之间的乘法关系推断
Cognitive factor forming an individual constituent in a driver model inferred from multiplicatory relationships between cognitive sub-factors
摘要：
为了再现人类在动态交通情况下的行为，需要进行复杂的驾驶任务所需的心理过程的计算表示。一个单一的认知因素已经开发出来，并形成了我们的驱动程序模型的关键组成部分。这个认知因素由认知子因素组成：分心、预期、压力和紧张。它已经被定义为使得这些子因素彼此之间具有乘法关系。此外，这些子因素中的每一个单独地包括视觉、听觉、运动和言语信息通道。这导致了一个类似格子的关系网络，它可以在水平和垂直方向上进行模块化扩展。概念拓扑结构和特点，这个乘法，操作为基础的认知因素。
英文摘要：
In order to reproduce human behaviour in dynamic traffic situations, a computational representation of the requisite mental processes used to carry out the complex driving tasks is required. A single cognitive factor has been developed and forms a crucial component in our driver model. This cognitive factor is composed of cognitive sub-factors: distraction, anticipation, stress, and strain. It has been defined such that these sub-factors have a multiplicatory relationship with one another. In addition, each of these sub-factors comprises the visual, auditory, tactile-kinetic, and verbal information channel individually. This results in a lattice-like network of relationships, which can be expanded modularly in horizontal and vertical directions. The conceptual topology and the characteristics of this multiplicatory, operation-based cognitive factor are presented.
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。
