@inproceedings{bfdb35231fc642dfae8b58f286f56620,
title = "An adaptive cognitive temporal-causal network model of a mindfulness therapy based on music",
abstract = "In this paper the effect of a music therapy is modeled based on a Network-Oriented Modeling approach. Music therapy is a mindfulness therapy used since many years ago. The presented adaptive temporal-causal network model addresses music therapy for a person who in a first phase develops an extreme stressful emotion due to an ongoing stressful event. In a second phase, music therapy is considered to reduce the stress. This happens by playing memorable music first and then singing on that music. The music and the singing have a direct relaxing effect on the body. Hebbian learning is incorporated to increase the effect of the therapy.",
keywords = "Cognitive temporal-causal network model, Extreme emotion, Hebbian learning, Mindfulness, Music therapy",
author = "{Mohammadi Ziabari}, {S. Sahand} and Jan Treur",
year = "2018",
doi = "10.1007/978-3-030-04021-5_17",
language = "English",
isbn = "9783030040208",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer - Verlag",
pages = "180--193",
editor = "Tiwary, {Uma Shanker}",
booktitle = "Intelligent Human Computer Interaction",
note = "10th International Conference on Intelligent Human Computer Interaction, IHCI 2018 ; Conference date: 07-12-2018 Through 09-12-2018",
}