A Second-Order Adaptive Agent Network Model for Social Dynamics in a Classroom Setting

Kasper Nicholas, Eric Zonneveld, Jan Treur*

*Corresponding author for this work

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

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Abstract

Alcohol consumption among young adolescents is problematic as health implications and behavioural changes are common consequences. Another problematic factor among young adolescents is the amount of delinquencies committed. In this paper an adaptive social agent network model using friendship relationships as predictor for alcohol consumption and amount of delinquencies committed is explored. The proposed agent network model was empirically validated using classroom data on young adolescents gathered by Knecht in Dutch schools. The agent network model is second-order adaptive and applies a bonding by homophily adaptation principle with adaptive adaptation speed describing clustering in friends networks based on the two aforementioned factors respectively.

Original languageEnglish
Title of host publicationIntelligent Computing Methodologies
Subtitle of host publication16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings - Part III
EditorsDe-Shuang Huang, Prashan Premaratne
PublisherSpringer Science and Business Media Deutschland GmbH
Pages161-173
Number of pages13
Volume3
ISBN (Electronic)9783030607968
ISBN (Print)9783030607951
DOIs
Publication statusPublished - 2020
Event16th International Conference on Intelligent Computing, ICIC 2020 - Bari , Italy
Duration: 2 Oct 20205 Oct 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12465 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Intelligent Computing, ICIC 2020
Country/TerritoryItaly
CityBari
Period2/10/205/10/20

Keywords

  • Agent network model
  • Second-order adaptive
  • Social dynamics

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