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Human Synchronization Maps—The Hybrid Consciousness of the Embodied Mind

F. Orsucci

Entropy November 25, 2021 DOI: 10.3390/e23121569 (opens in new tab) via Semantic Scholar

Summary

AI-generated from the abstract

Human interactions involve hybrid dynamics that combine biological and semiotic communication streams. Recent empirical studies analyzed intraindividual and interpersonal relations as coevolution processes of coupling, synchronization, and desynchronization. Using cluster analysis and Markov chains, evidence emerged of chimaera states and phase transitions in these dynamics. A probabilistic, nondeterministic approach helped clarify the properties of these hybrid interactions. The findings suggest that multidimensional theoretical models can represent the complex, hybrid nature of human interactions, integrating insights from emotional neuroscience and embodied mind perspectives.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Computer science Medicine Psychology Philosophy
Key finding Proposes that multidimensional theoretical models can represent the hybrid nature of human interactions, supported by evidence of chimaera states and phase transitions from biosemiotic communication dynamics.

Abstract

We examine the theoretical implications of empirical studies developed over recent years. These experiments have explored the biosemiotic nature of communication streams from emotional neuroscience and embodied mind perspectives. Information combinatorics analysis enabled a deeper understanding of the coupling and decoupling dynamics of biosemiotics streams. We investigated intraindividual and interpersonal relations as coevolution dynamics of hybrid couplings, synchronizations, and desynchronizations. Cluster analysis and Markov chains produced evidence of chimaera states and phase transitions. A probabilistic and nondeterministic approach clarified the properties of these hybrid dynamics. Thus, multidimensional theoretical models can represent the hybrid nature of human interactions.

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