Integrating the theoretical, methodological and analytic tools from complexity science and embodied theories of psychology, the EMAD (embedded multi agent dynamics) project uses laboratory experimentation and mathematical modeling to understand the self-organized dynamics and contextual emergence of environmentally situated social interaction and physical multi-agent activity, with implications for clinical assessment and intervention and the development of robust and mutually responsive human-machine systems.