An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor

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

Abstract

In this paper the effect of a humor therapy is modeled based on a Network-Oriented Modeling approach. Humor therapy is a mindfulness therapy which has been used since many years ago, when Abu Bakr Muhammad ibn Zakariya al-Razi (https://en.wikipedia.org/wiki/Muhammad_ibn_Zakariya_al-Razi) as a Persian scientist who used humor theory to distinguish one contagious disease from another, to make stressed individuals more relaxed. The presented adaptive temporal-causal network model addresses the computational modeling of humor therapy for a person who in the first step triggers two incongruent beliefs in order to get the humor from a humor context to overcome an ongoing stressful event. This happens by showing a comedy movie. As a result, the stress level in the body reduces. Hebbian learning is incorporated to strengthen the effect of the humor therapy.
Original languageEnglish
Title of host publicationInformation Systems and Neuroscience - NeuroIS Retreat 2019
Subtitle of host publicationNeuroIS Retreat 2019
EditorsFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane Randolph, Thomas Fischer
PublisherSpringer
Pages189-201
Number of pages13
ISBN (Electronic)9783030281441
ISBN (Print)9783030281434
DOIs
Publication statusPublished - 1 Jan 2020
EventNeuroIS Retreat - Vienna, Austria
Duration: 4 Jun 20196 Jun 2019

Publication series

NameLecture Notes in Information Systemsand Organisation
PublisherSpringer
Volume32

Conference

ConferenceNeuroIS Retreat
CountryAustria
CityVienna
Period4/06/196/06/19

Fingerprint

Mindfulness
Network model
Therapy
Wikipedia
Movies
Wikis
Computational modeling
Modeling
Trigger

Keywords

  • Cognitive temporal-causal network model
  • Extreme emotion
  • Hebbian learning
  • Humor therapy
  • Mindfulness

Cite this

Mohammadi Ziabari, S. S., & Treur, J. (2020). An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor. In F. D. Davis, R. Riedl, J. vom Brocke, P-M. Léger, A. Randolph, & T. Fischer (Eds.), Information Systems and Neuroscience - NeuroIS Retreat 2019: NeuroIS Retreat 2019 (pp. 189-201 ). (Lecture Notes in Information Systemsand Organisation; Vol. 32). Springer. https://doi.org/10.1007/978-3-030-28144-1_21
Mohammadi Ziabari, S.S. ; Treur, Jan. / An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor. Information Systems and Neuroscience - NeuroIS Retreat 2019: NeuroIS Retreat 2019. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane Randolph ; Thomas Fischer. Springer, 2020. pp. 189-201 (Lecture Notes in Information Systemsand Organisation).
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abstract = "In this paper the effect of a humor therapy is modeled based on a Network-Oriented Modeling approach. Humor therapy is a mindfulness therapy which has been used since many years ago, when Abu Bakr Muhammad ibn Zakariya al-Razi (https://en.wikipedia.org/wiki/Muhammad_ibn_Zakariya_al-Razi) as a Persian scientist who used humor theory to distinguish one contagious disease from another, to make stressed individuals more relaxed. The presented adaptive temporal-causal network model addresses the computational modeling of humor therapy for a person who in the first step triggers two incongruent beliefs in order to get the humor from a humor context to overcome an ongoing stressful event. This happens by showing a comedy movie. As a result, the stress level in the body reduces. Hebbian learning is incorporated to strengthen the effect of the humor therapy.",
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Mohammadi Ziabari, SS & Treur, J 2020, An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor. in FD Davis, R Riedl, J vom Brocke, P-M Léger, A Randolph & T Fischer (eds), Information Systems and Neuroscience - NeuroIS Retreat 2019: NeuroIS Retreat 2019. Lecture Notes in Information Systemsand Organisation, vol. 32, Springer, pp. 189-201 , NeuroIS Retreat, Vienna, Austria, 4/06/19. https://doi.org/10.1007/978-3-030-28144-1_21

An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor. / Mohammadi Ziabari, S.S.; Treur, Jan.

Information Systems and Neuroscience - NeuroIS Retreat 2019: NeuroIS Retreat 2019. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane Randolph; Thomas Fischer. Springer, 2020. p. 189-201 (Lecture Notes in Information Systemsand Organisation; Vol. 32).

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

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AB - In this paper the effect of a humor therapy is modeled based on a Network-Oriented Modeling approach. Humor therapy is a mindfulness therapy which has been used since many years ago, when Abu Bakr Muhammad ibn Zakariya al-Razi (https://en.wikipedia.org/wiki/Muhammad_ibn_Zakariya_al-Razi) as a Persian scientist who used humor theory to distinguish one contagious disease from another, to make stressed individuals more relaxed. The presented adaptive temporal-causal network model addresses the computational modeling of humor therapy for a person who in the first step triggers two incongruent beliefs in order to get the humor from a humor context to overcome an ongoing stressful event. This happens by showing a comedy movie. As a result, the stress level in the body reduces. Hebbian learning is incorporated to strengthen the effect of the humor therapy.

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Mohammadi Ziabari SS, Treur J. An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor. In Davis FD, Riedl R, vom Brocke J, Léger P-M, Randolph A, Fischer T, editors, Information Systems and Neuroscience - NeuroIS Retreat 2019: NeuroIS Retreat 2019. Springer. 2020. p. 189-201 . (Lecture Notes in Information Systemsand Organisation). https://doi.org/10.1007/978-3-030-28144-1_21