Abstract: Agent Based Social Simulation (ABSS) is increasingly becoming an alternative method to predict social behavior without having to conduct social experiments which may be costly or too large a scope of study. The bystander effect is a social behavior where the likely hood of getting help from passersby’s decreases with increasing number of observers. The objective of this study is to replicate the bystander effect model in a dynamic simulation environment using spatial and temporal supported simulation platform, modelled on a plausible scenario using a pedestrian movement setting as the simulation environment. The study aims to specify the limitations of the current referenced agent model regarding result inconsistency in relation to the BDI framework processes and proposes a redesigned model as well as cite future research potential for the modelled case study.
Mohd Rashdan Abdul Kadir and Ali Selamat, 2018. Bystander Effect Model: Dynamic Simulation Environment in a Pedestrian Setting. Journal of Engineering and Applied Sciences, 13: 8852-8856. Asian Journal of Information Technology, 18: 250-260.