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

Joey van den Heuvel, Jan Treur*

*Corresponding author for this work

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

Abstract

This paper focuses on defining and simulating behavioural outcomes of the bystander effect. These insights were modeled by temporal-causal networks. Typical 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 literature. Unknown parameters of the effect were further estimated by a Simulated Annealing algorithm. In the end, the created model shows the potential to simulate the bystander effect in different and new scenarios. The created model adhered to the stated three requirements and shows potential to verify the model predictions independently and for new bystander situations.

Original languageEnglish
Title of host publicationBrain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
Subtitle of host publicationProceedings of the 11th Annual Meeting of the BICA Society
EditorsAlexei V. Samsonovich, Ricardo R. Gudwin, Alexandre da Simões
PublisherSpringer Science and Business Media Deutschland GmbH
Pages527-540
Number of pages14
ISBN (Electronic)9783030655969
ISBN (Print)9783030655952
DOIs
Publication statusPublished - 2021
Event11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020 - Natal, Brazil
Duration: 10 Nov 202014 Nov 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1310
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020
Country/TerritoryBrazil
CityNatal
Period10/11/2014/11/20

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Bystander effect
  • Network modelling
  • Simulated annealing

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