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Relating an Adaptive Network’s Structure to Its Emerging Behaviour for Hebbian Learning

  • Jan Treur
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11324)

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.

Keywords

Adaptive network Hebbian learning Analysis of behaviour 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Behavioural Informatics GroupVrije Universiteit AmsterdamAmsterdamNetherlands

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