ABSTRACT

The current study mathematically models key factors influencing Risk Perception (RP) that involves knowledge inferred from present situations and social learning, past information and priming effect. It is a generalized perception-based model and in the present paper, it is applied to Autism Spectrum Disorder (ASD). The computational model has been simulated for numerous rounds in two phases to find a quantitative value of the model factors. In the first phase, the model reflected dependency of RP upon recent past events and priming, while second phase revealed that social learning modulates RP, even in ASD. This further proves that peer-interaction plays a crucial role in building perception. Thus, our work provides a mathematical framework to evaluate perception objectively in any situation, such as risky/danger-situations.

摘要

当前的研究对影响风险感知 (RP) 的关键因素进行数学建模，这些因素涉及从当前情况和社会学习、过去的信息和启动效应中推断出的知识。它是一个广义的基于感知的模型，在本文中，它被应用于自闭症谱系障碍 (ASD)。计算模型已经在两个阶段进行了多次模拟，以找到模型因子的定量值。在第一阶段，该模型反映了 RP 对最近过去事件和启动的依赖性，而第二阶段表明即使在 ASD 中，社会学习也会调节 RP。这进一步证明了同伴互动在建立感知方面起着至关重要的作用。因此，我们的工作提供了一个数学框架，可以在任何情况下客观地评估感知，例如风险/危险情况。