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Exploring Embodied Predictive Global Workspace Theory EPGW
Abstract
The Embodied Predictive Global Workspace (EPGW) framework provides a transformative framework for understanding consciousness by integrating predictive processing, global neural dynamics, and embodied cognition. EPGW addresses the explanatory gap between subjective experience and neural processes by synthesizing these components. Central to this model is the resolution of prediction errors—discrepancies between expected and actual sensory inputs—and the vital role of embodied interactions in shaping consciousness. Karl Friston’s free-energy principle (FEP) offers enhanced formalism for EPGW’s foundational concepts (Friston, 2010). FEP redefines prediction-error resolution as minimizing free energy, establishing a unified mathematical framework for understanding how biological systems maintain stable states while adapting to their environments. This integration positions EPGW as a framework grounded in the dual imperatives of prediction-error resolution and free-energy minimization, providing a robust explanation for the emergence of conscious awareness. Incorporating BrainLM, an advanced computational model for brain activity, strengthens EPGW’s empirical foundation (Caro et al., 2024). BrainLM simulates hierarchical prediction-error dynamics, functional network organization, and sensorimotor interactions, operationalizing the principles of FEP within the EPGW framework. These simulations enable the iterative refinement of EPGW’s predictions and expand its applicability to practical domains such as artificial intelligence, neurorehabilitation, and educational tools. This paper explores the philosophical, empirical, and practical implications of integrating FEP into EPGW. By embedding prediction-error resolution within a mathematical framework, this integration enhances EPGW’s alignment with dual-aspect monism, underscores the embodied nature of cognition, and bolsters its explanatory power. Ethical considerations and real-world applications are examined, showcasing the utility of this interdisciplinary approach to understanding consciousness.
Keywords. Consciousness, intelligence, embodied, predictive, free-energy
Substack: https://kerrydraper.substack.com/p/neurodiversity-and-the-philosophy
Draft v16: https://docs.google.com/document/d/1mUTOAZgySZB8cBs7DzNvALIKCB4zUFB6hw7wXsdFEKY/edit?usp=sharing
Видео Exploring Embodied Predictive Global Workspace Theory EPGW канала Kerry Draper
The Embodied Predictive Global Workspace (EPGW) framework provides a transformative framework for understanding consciousness by integrating predictive processing, global neural dynamics, and embodied cognition. EPGW addresses the explanatory gap between subjective experience and neural processes by synthesizing these components. Central to this model is the resolution of prediction errors—discrepancies between expected and actual sensory inputs—and the vital role of embodied interactions in shaping consciousness. Karl Friston’s free-energy principle (FEP) offers enhanced formalism for EPGW’s foundational concepts (Friston, 2010). FEP redefines prediction-error resolution as minimizing free energy, establishing a unified mathematical framework for understanding how biological systems maintain stable states while adapting to their environments. This integration positions EPGW as a framework grounded in the dual imperatives of prediction-error resolution and free-energy minimization, providing a robust explanation for the emergence of conscious awareness. Incorporating BrainLM, an advanced computational model for brain activity, strengthens EPGW’s empirical foundation (Caro et al., 2024). BrainLM simulates hierarchical prediction-error dynamics, functional network organization, and sensorimotor interactions, operationalizing the principles of FEP within the EPGW framework. These simulations enable the iterative refinement of EPGW’s predictions and expand its applicability to practical domains such as artificial intelligence, neurorehabilitation, and educational tools. This paper explores the philosophical, empirical, and practical implications of integrating FEP into EPGW. By embedding prediction-error resolution within a mathematical framework, this integration enhances EPGW’s alignment with dual-aspect monism, underscores the embodied nature of cognition, and bolsters its explanatory power. Ethical considerations and real-world applications are examined, showcasing the utility of this interdisciplinary approach to understanding consciousness.
Keywords. Consciousness, intelligence, embodied, predictive, free-energy
Substack: https://kerrydraper.substack.com/p/neurodiversity-and-the-philosophy
Draft v16: https://docs.google.com/document/d/1mUTOAZgySZB8cBs7DzNvALIKCB4zUFB6hw7wXsdFEKY/edit?usp=sharing
Видео Exploring Embodied Predictive Global Workspace Theory EPGW канала Kerry Draper
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1 января 2025 г. 0:14:16
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