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[Digital simulation of restricted communication systems (author's transl)]
Acta Psychiatrica Belgica
|September 1, 1979
Summary
This study introduces a digital behavioral game simulating group dynamics to predict "pathological cases" based on interrelations, not individual psychopathology. The model focuses on emergent behaviors within a closed system.
Area of Science:
- Computational Social Science
- Behavioral Economics
- Systems Theory
Context:
- Simulations are increasingly used to model complex social phenomena.
- Understanding emergent behaviors in groups is crucial for various fields.
- Existing models often focus on individual traits rather than relational dynamics.
Purpose:
- To introduce a novel digital "behavioral game" for simulating group interactions.
- To develop a simulation capable of predicting "pathological cases" arising from interrelations.
- To explore the dynamics of change solely through interrelational regulation.
Summary:
- A simulation of a "behavioral game" was created using a digital instrument.
- The simulation models the evolutive behavior of ten fictional individuals.
- The game identifies "pathological cases" based on interrelational changes, excluding individual psychopathology.
Impact:
- Provides a new tool for studying emergent group behaviors computationally.
- Offers insights into how relational dynamics can lead to system-level deviations.
- Facilitates theoretical discussions on the regulation of change in social systems.