To Help or Not to Help: A Network Modelling Approach to the Bystander Effect

Joey van den Heuvel, Jan Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper focuses on defining and simulating behavioural outcomes of the by-stander effect. These insights were modeled by temporal-causal networks. Typi-cal patterns of bystander behaviour were translated into three requirements and seven simulated scenarios of the bystander effect. All scenarios were simulated to showcase the main bystander effect dynamics and its accordance with the litera-ture. Unknown parameters of the effect were further estimated by a Simulated Annealing algorithm. In the end, the created model shows the potential to simu-late the bystander effect in different and new scenarios.
Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Brain-Inspired Cognitive Architectures for AI, BICA*AI'20
PublisherSpringer Nature Switzerland AG
Publication statusAccepted/In press - 28 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer Nature

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