Simulating mother-child interaction: Exploring two varieties of a non-linear dynamic systems approach

Citation
T. Olthof et al., Simulating mother-child interaction: Exploring two varieties of a non-linear dynamic systems approach, INFANT CH D, 9(1), 2000, pp. 33-60
Citations number
27
Categorie Soggetti
Psycology
Journal title
INFANT AND CHILD DEVELOPMENT
ISSN journal
15227227 → ACNP
Volume
9
Issue
1
Year of publication
2000
Pages
33 - 60
Database
ISI
SICI code
1522-7227(200003)9:1<33:SMIETV>2.0.ZU;2-5
Abstract
In theoretical analyses of early mother-child interaction, it has been argu ed that interaction should be studied in its flow over time, and that the b ehaviour of each interactant is likely to be non-linearly determined. The m other-child dyad can be seen as a non-linear dynamic system, the developmen t of which is determined by the mutual relations between its elements. The present study is based on the idea that computer simulations can be used to find out what kind of empirical implication these ideas have. Accordingly, we describe two non-linear dynamic systems-based models for simulating mot her-child interaction, i.e. a connectionist network model and a logistic gr owth model. Three determinants of the nature of the interaction, i.e. the c hild's irritability, the mother's sensitive responsiveness, and the intensi ty of an external stressor bothering the child, are varied systematically. Although the results of both simulations differed considerably, they shared the fact that small changes in stressor intensity produced abrupt changes from one type of interaction to another. In addition, increasing stressor i ntensity sometimes had the paradoxical effect of resulting in less, rather than more, distress on the side of the child. Though irritability and respo nsiveness were varied in a less fine-grained way than stressor intensity, t he results suggest that similarly small differences in these dimensions at different parts of the dimension's scale range have differentially strong e ffects on the nature of the interaction. It is concluded that these simulat ions help us to specify the nature of empirically researchable phenomena th at are to be expected, given the assumptions listed above. Further elaborat ion of the models and comparison with longitudinal empirical data is needed to answer further theoretical and practical questions. Copyright (C) 2000 John Wiley & Sons, Ltd.