A network-oriented adaptive agent model for learning regulation of a highly sensitive person’s response

Linh Tran, Jan Treur*, Denice J. Tuinhof

*Corresponding author for this work

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

Abstract

Inspired by the work of Elaine Aron, in this paper a human-like adaptive computational agent model of the internal processes of a highly sensitive person (HSP) is presented. This agent model was used to get a better understanding of what goes wrong in these internal processes once this person gets upset. A scenario is addressed where a highly sensitive person will get upset by an external stimulus and will not be able to calm down by herself. Yet in a social context the interaction with a second person (without high sensitivity) will calm the HSP down, thus contributing to regulation. To obtain an adaptive model a Hebbian learning connection was integrated. During interaction with a second person this Hebbian learning link will become stronger, which makes it possible for a HSP to become independent after some time and be able to regulate upsetting external stimuli all by herself.

Original languageEnglish
Title of host publicationAdvances in Practical Applications of Agents, Multi-Agent Systems, and Complexity
Subtitle of host publicationThe PAAMS Collection - 16th International Conference, PAAMS 2018, Proceedings
PublisherSpringer Verlag
Pages248-261
Number of pages14
ISBN (Electronic)9783319945804
ISBN (Print)9783319945798
DOIs
Publication statusPublished - 2018
Event16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10978 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018
CountrySpain
CityToledo
Period20/06/1822/06/18

Keywords

  • Hebbian learning
  • Highly sensitive person
  • Sensory processing sensitivity

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