@inproceedings{2e7524f6e61e48e790e5073a7d86670b,
title = "An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Humor",
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.",
keywords = "Cognitive temporal-causal network model, Extreme emotion, Hebbian learning, Humor therapy, Mindfulness",
author = "{Mohammadi Ziabari}, S.S. and Jan Treur",
year = "2020",
doi = "10.1007/978-3-030-28144-1_21",
language = "English",
isbn = "9783030281434",
series = "Lecture Notes in Information Systemsand Organisation",
publisher = "Springer",
pages = "189--201 ",
editor = "Davis, {Fred D.} and Ren{\'e} Riedl and {vom Brocke}, Jan and Pierre-Majorique L{\'e}ger and Adriane Randolph and Thomas Fischer",
booktitle = "Information Systems and Neuroscience - NeuroIS Retreat 2019",
note = "NeuroIS Retreat ; Conference date: 04-06-2019 Through 06-06-2019",
}