In this paper a computational model of a therapy for post-traumatic stress disorder by medicines is presented. The considered therapy has as a goal to decrease the stress level of a stressed individual by injections. Several medicines have been used to decrease the stress level. The presented temporal-causal network model aims at integrative modeling a medicine-based therapy where the relevant biological, cognitive and affective factors are modeled in a dynamic manner. In the first phase a strong stress-inducing stimulus causes the individual to develop an (affective) extreme stressful emotion. In the second phase, the individual makes the (cognitive) decision to apply an injection as a medicine with a goal shown to make the stressed individual relaxed. The third phase (biologically) models how the injection reduces the stress level.
CITATION STYLE
Mohammadi-Ziabari, S. S., & Treur, J. (2018). Integrative biological, cognitive and affective modeling of a drug-therapy for a post-traumatic stress disorder. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11324 LNCS, pp. 292–304). Springer Verlag. https://doi.org/10.1007/978-3-030-04070-3_23
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