TY - JOUR
T1 - Modelling Adaptive Dynamical Systems to Analyze Eating Regulation Disorders
AU - Bosse, T.
AU - Delfos, M.F.
AU - Jonker, C.M.
AU - Treur, J.
N1 - Sim06
PY - 2006
Y1 - 2006
N2 - To analyze the disorders of their patients, psychotherapists often have to get insight in adaptive dynamical systems. Analysis of dynamical systems usually is performed using mathematical techniques. Such an analysis is not precisely the type of reasoning performed in psychotherapy practice. In this article, it is shown how practical reasoning about dynamic properties of adaptive dynamical systems within psychotherapy can be described using a high-level logical language to describe dynamics. Using this language, an executable model has been developed of the dynamics of eating regulation disorders. Based on this model, a number of simulation traces have been generated, both for well-functioning situations and for different types of malfunctioning situations that correspond to the first phase of well-known disorders such as anorexia (nervosa), obesitas, and bulimia. Next, it is shown how such traces can be automatically analyzed against a number of dynamic properties. © 2006, Sage Publications. All rights reserved.
AB - To analyze the disorders of their patients, psychotherapists often have to get insight in adaptive dynamical systems. Analysis of dynamical systems usually is performed using mathematical techniques. Such an analysis is not precisely the type of reasoning performed in psychotherapy practice. In this article, it is shown how practical reasoning about dynamic properties of adaptive dynamical systems within psychotherapy can be described using a high-level logical language to describe dynamics. Using this language, an executable model has been developed of the dynamics of eating regulation disorders. Based on this model, a number of simulation traces have been generated, both for well-functioning situations and for different types of malfunctioning situations that correspond to the first phase of well-known disorders such as anorexia (nervosa), obesitas, and bulimia. Next, it is shown how such traces can be automatically analyzed against a number of dynamic properties. © 2006, Sage Publications. All rights reserved.
U2 - 10.1177/0037549706065676
DO - 10.1177/0037549706065676
M3 - Article
SN - 0037-5497
VL - 82
SP - 159
EP - 171
JO - Simulation
JF - Simulation
IS - 3
ER -