A computational analysis of psychopathy based on a network-oriented modeling approach
Autor: | van Dijk, Freke W., Treur, Jan, Fernandez-Caballero, Antonio, De La Prieta, Fernando, Omatu, Sigeru |
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Přispěvatelé: | Computer Science, Fernandez-Caballero, Antonio, De La Prieta, Fernando, Omatu, Sigeru |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
SDG 16 - Peace
Computer science media_common.quotation_subject Psychopathy Empathy Virtual agent Affect (psychology) 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Social neuroscience medicine 0501 psychology and cognitive sciences Computational analysis media_common Network model 05 social sciences SDG 16 - Peace Justice and Strong Institutions Cognition medicine.disease Justice and Strong Institutions 030217 neurology & neurosurgery Cognitive psychology Network-Oriented Modeling |
Zdroj: | Distributed Computing and Artificial Intelligence, 15th International Conference [2018], 344-356 STARTPAGE=344;ENDPAGE=356;TITLE=Distributed Computing and Artificial Intelligence, 15th International Conference [2018] Distributed Computing and Artificial Intelligence, 15th International Conference ISBN: 9783319946481 DCAI van Dijk, F W & Treur, J 2019, A computational analysis of psychopathy based on a network-oriented modeling approach . in A Fernandez-Caballero, F De La Prieta & S Omatu (eds), Distributed Computing and Artificial Intelligence, 15th International Conference [2018] . Advances in Intelligent Systems and Computing, vol. 800, Springer Verlag, pp. 344-356, 15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018, Toledo, Spain, 20/06/18 . https://doi.org/10.1007/978-3-319-94649-8_41 |
DOI: | 10.1007/978-3-319-94649-8_41 |
Popis: | 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. |
Databáze: | OpenAIRE |
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