A computational analysis of psychopathy based on a network-oriented modeling approach

Freke W. van Dijk, Jan Treur*

*Corresponding author for this work

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

Abstract

In this paper psychopathy is analysed computationally by creating a temporal-causal network model. The network model was designed using knowledge from Cognitive and Social Neuroscience and simulates the internal neural circuit for moral decision making. Among others, empathy and fear are considered to affect the decision making. This model provides a basis for a virtual agent for simulation-based training or a support application for medical purposes.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, 15th International Conference [2018]
EditorsAntonio Fernandez-Caballero, Fernando De La Prieta, Sigeru Omatu
PublisherSpringer Verlag
Pages344-356
Number of pages13
ISBN (Electronic)9783319946498
ISBN (Print)9783319946481
DOIs
Publication statusPublished - 2019
Event15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018 - Toledo, Spain
Duration: 20 Jun 201822 Jun 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume800
ISSN (Print)2194-5357

Conference

Conference15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018
CountrySpain
CityToledo
Period20/06/1822/06/18

Keywords

  • Computational analysis
  • Network-Oriented Modeling
  • Psychopathy

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