Abstract
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 language | English |
|---|---|
| Title of host publication | Information Systems Design and Intelligent Applications |
| Subtitle of host publication | Proceedings of 5th International Conference INDIA 2018 Volume 2 |
| Editors | Vikrant Bhateja, Suresh Chandra Satapathy, Radhakhrishna Somanah, Roman Senkerik, Xin-She Yang |
| Publisher | Springer |
| Pages | 53-66 |
| Number of pages | 14 |
| Volume | 2 |
| ISBN (Electronic) | 9789811333385 |
| ISBN (Print) | 9789811333378 |
| DOIs | |
| Publication status | E-pub ahead of print - 5 Jan 2019 |
| Event | 5th International Conference on Information System Design and Intelligent Applications, INDIA 2018 - Balaclava, Mauritius Duration: 19 Jul 2018 → 20 Jul 2018 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 863 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | 5th International Conference on Information System Design and Intelligent Applications, INDIA 2018 |
|---|---|
| Country | Mauritius |
| City | Balaclava |
| Period | 19/07/18 → 20/07/18 |
Keywords
- Autogenic training
- Cognitive temporal-causal network model
- Extreme emotion
- Hebbian learning
- Mindfulness
Cite this
}
Cognitive modeling of mindfulness therapy by autogenic training. / Mohammadi Ziabari, S. Sahand; Treur, Jan.
Information Systems Design and Intelligent Applications: Proceedings of 5th International Conference INDIA 2018 Volume 2. ed. / Vikrant Bhateja; Suresh Chandra Satapathy; Radhakhrishna Somanah; Roman Senkerik; Xin-She Yang. Vol. 2 Springer, 2019. p. 53-66 (Advances in Intelligent Systems and Computing; Vol. 863).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Cognitive modeling of mindfulness therapy by autogenic training
AU - Mohammadi Ziabari, S. Sahand
AU - Treur, Jan
PY - 2019/1/5
Y1 - 2019/1/5
N2 - 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.
AB - 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.
KW - Autogenic training
KW - Cognitive temporal-causal network model
KW - Extreme emotion
KW - Hebbian learning
KW - Mindfulness
UR - http://www.scopus.com/inward/record.url?scp=85061604163&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061604163&partnerID=8YFLogxK
UR - https://www.indiaconf.org/
U2 - 10.1007/978-981-13-3338-5_6
DO - 10.1007/978-981-13-3338-5_6
M3 - Conference contribution
SN - 9789811333378
VL - 2
T3 - Advances in Intelligent Systems and Computing
SP - 53
EP - 66
BT - Information Systems Design and Intelligent Applications
A2 - Bhateja, Vikrant
A2 - Satapathy, Suresh Chandra
A2 - Somanah, Radhakhrishna
A2 - Senkerik, Roman
A2 - Yang, Xin-She
PB - Springer
ER -