Network-oriented modeling of the interaction of adaptive joint decision making, bonding and mirroring

Caroline Tichelaar, Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper the interaction of joint decision making, Hebbian learning of mirroring and bonding is analysed. An adaptive network model is designed, and scenarios are explored using this computational model. The results show that Hebbian learning of mirroring connections plays an important role in decision making, and that bonding can be necessary to make a joint decision, but also that conversely joint decisions strengthen the bonding and the mirroring connections.

Original languageEnglish
Title of host publicationTheory and Practice of Natural Computing
Subtitle of host publication7th International Conference, TPNC 2018, Proceedings
EditorsCarlos Martín-Vide, Miguel A. Vega-Rodríguez, David Fagan, Michael O’Neill
PublisherSpringer - Verlag
Pages328-343
Number of pages16
ISBN (Electronic)9783030040703
ISBN (Print)9783030040697
DOIs
Publication statusPublished - 2018
Event7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018 - Dublin, Ireland
Duration: 12 Dec 201814 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11324 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018
Country/TerritoryIreland
CityDublin
Period12/12/1814/12/18

Keywords

  • Adaptive network
  • Bonding
  • Hebbian learning
  • Joint decisions

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