InterJournal Complex Systems, 1073
Status: Accepted
Manuscript Number: [1073]
Submission Date: 2004
Small n Evolving Structures: Dyadic Interaction between Intimates
Author(s): William A. Griffin ,Shana Schmidt

Subject(s): CX.18

Category:

Abstract:

Agent based modeling, by definition, has sought to simulate processes and emergence among agents numbering from the tens to the thousands. Consequently, one neglected, yet immensely critical, area of social and behavioral evolution is the continuously emerging process of intimate dyadic interaction. Whether it is the relationship between a husband and wife or a parent and child, these dyads form the foundation of social processes. The most difficult aspect of developing a dyadic level ABM is determining the “multiscale structure” that emerges, and then evolves. What rules determine the reciprocal relationship between relationship quality and the overt moment-to-moment behaviors? How do attributional sets, derived from a unique history and maintained by each member of the dyad, influence the behavioral trajectories across time scales? With intimate dyads, couple sustainability is invariably linked to their behavioral and affect exchanges and these, of course, are dependent on the reciprocal dynamics of perception, attribution, and previous interactions. The structure of these data, taken from couples during a 15-minute dyadic interaction, systematically varies as a function of marital quality; my lab and others have consistently found this. To date, however, the underlying mechanisms that generate these complex processes have not been converted to algorithms that would allow simulation. Using micro-social behavioral data (e.g., negative statements, nonverbal back channeling, self-report affect ratings) collected at the Marital Interaction Lab at Arizona State University we will discuss our attempts to develop a marital interaction ABM that generates data intended to replicate realized data.

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