Coordination Dynamics: A Foundation for Understanding Social Behavior.

Area of Science:

• Cognitive Science
• Neuroscience
• Dynamical Systems Theory

Background:

• Human interactions exhibit predictable coordination patterns across various levels.
• Coordination Dynamics theory describes these patterns using functional synergies and self-organizing systems.
• The Haken-Kelso-Bunz (HKB) model provides a foundational framework for understanding social interactions.

Purpose of the Study:

• To advance the Coordination Dynamics theory for social interactions.
• To demonstrate the evolution and generalization of the Haken-Kelso-Bunz (HKB) model in social contexts.
• To provide an overview of empirical research and mathematical underpinnings.

Main Methods:

• Interweaving experimental neurobehavioral studies with mathematical modeling.
• Utilizing the Haken-Kelso-Bunz (HKB) model as an elemental system for social interactions.
• Developing generalized forms of the theory through empirical research.

Main Results:

• The Haken-Kelso-Bunz (HKB) model has evolved to address increasingly complex social coordination scenarios.
• Key evolutions include accommodating symmetry breaking, multiscale generalization, and adaptation.
• The study integrates experimental findings with mathematical models to advance the theory.

Conclusions:

• A general framework for social coordination dynamics is emerging.
• Mathematical models and experimental research are mutually supportive in generating hypotheses and providing mechanistic insights.
• The evolved HKB model offers a powerful tool for studying social coordination.