Cognitive modeling of mindfulness therapy by autogenic training

S. Sahand Mohammadi Ziabari*, Jan Treur

*Corresponding author for this work

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


In this paper, the effect of a mindfulness therapy based on a Network-Oriented Modeling approach is addressed. The considered therapy is Autogenic Training that can be used when under stress; it has as two main goals to achieve feeling heavy and warm body parts (limbs). Mantras have been used in therapies since long ago to make stressed individuals more relaxed, and they are also used in Autogenic Training. The presented cognitive temporal-causal network model addresses the modeling of Autogenic Training asking this into account. In the first phase a strong stress-inducing stimulus causes the individual to develop an extreme stressful emotion. In the second phase, the therapy with the two goals is shown to make the stressed individual relaxed. Hebbian learning is used to increase the influence of the therapy.

Original languageEnglish
Title of host publicationInformation Systems Design and Intelligent Applications
Subtitle of host publicationProceedings of 5th International Conference INDIA 2018 Volume 2
EditorsVikrant Bhateja, Suresh Chandra Satapathy, Radhakhrishna Somanah, Roman Senkerik, Xin-She Yang
Number of pages14
ISBN (Electronic)9789811333385
ISBN (Print)9789811333378
Publication statusPublished - 2019
Event5th International Conference on Information System Design and Intelligent Applications, INDIA 2018 - Balaclava, Mauritius
Duration: 19 Jul 201820 Jul 2018

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference5th International Conference on Information System Design and Intelligent Applications, INDIA 2018


  • Autogenic training
  • Cognitive temporal-causal network model
  • Extreme emotion
  • Hebbian learning
  • Mindfulness


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