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

S.S. Mohammadi Ziabari, Jan Treur

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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.
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 - 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

Keywords

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

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