Coevolution Dynamics and the Biosemiotics of Human Change

Scope Clarify how coevolution, cooperation, and creation dynamics are crucial in human change. Method Exploring the paradox of private language, synchronization theory, complex biosemiotics, and heterogeneous dynamics involved in therapeutic relationships as a case study for general human change dynamics. We examined specific theoretical implications of our research groups’ empirical studies developed over recent years. We explored the biosemiotic nature of communication streams from emotional neuroscience and embodied mind perspectives. They investigated intraindividual and interpersonal relations and found coevolution dynamics based on hybrid couplings, synchronizations, and desynchronizations. Cluster analysis and Markov chains produced evidence of chimera states and phase transitions. A probabilistic and non-deterministic approach clarified the properties of these hybrid dynamics. As a result, multidimensional theoretical models can better represent the hybrid nature of human interactions. We presented and discussed different models. Results New challenges lie ahead. Complex systems present plural structural forms and varieties of organization and disorganization. These varieties are frequently distributed within any singular system, creating rugged dynamical landscapes. Hybrid forms of organization are specific to human systems, as they present multiple scales and heterogeneous subsystems; synchronous and asynchronous interactions; stable, unstable, and metastable states; and localized and generalized dynamics. Therefore, considering the hyper-complexity of the human dynamical landscapes, empirical studies can use mixed methods and different approaches (sometimes all at once). Accordingly, multiple and varied interventions can induce change or facilitate its natural evolution and emersion. Therefore, multiple and different therapeutic techniques can produce similar (though not identical) outcomes in the clinical field. The good old equifinality principle of complex open systems is still at work with more advanced science tools. Coevolutionary cooperative creations present robust evidence in human change dynamics. We finally examine the personalization and ethical aspects of these models.