Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning

Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper it is analysed how emerging behaviour of an adaptive network can be related to characteristics of the adaptive network’s structure (which includes the adaptation structure). In particular, this is addressed for mental networks based on Hebbian learning. To this end relevant properties of the network and the adaptation that have been identified are discussed. As a result it has been found that in an achieved equilibrium state the value of a connection weight has a functional relation to the values of the connected states.

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
Pages359-373
Number of pages15
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
CountryIreland
CityDublin
Period12/12/1814/12/18

Keywords

  • Adaptive network
  • Analysis of behaviour
  • Hebbian learning

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