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

S.S. Mohammadi Ziabari, Jan Treur

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

124 Downloads (Pure)

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
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
Country/TerritoryAustria
CityVienna
Period4/06/196/06/19

Keywords

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

Fingerprint

Dive into the research topics of 'An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor'. Together they form a unique fingerprint.

Cite this