Abstract:
This book introduces the Somatic Information Framework (SIF), a novel theoretical structure that applies the geometric and physical principles of General Realness Theory (GRT) to formulate the foundational tenets of embodied intelligence.1 It is posited that the dynamic coupling between an artificial agent and its environment can be modeled as a trajectory on the eleven-dimensional GRT manifold, denoted as
M(Y11). The SIF leverages the GRT state tensor, Sij, to provide a rigorous mathematical definition for sensorimotor contingencies, and reinterprets environmental affordances as regions of non-negative curvature on the manifold. This framework offers a unified geometric language for state representation, policy learning, and affordance perception, presenting significant applications for overcoming key challenges in embodied robotics, adaptive human-computer interaction (HCI), and the fundamental architecture of Artificial General Intelligence (AGI). By grounding the often philosophical concepts of embodiment in a formal, physicalist model, the ECF provides a new and powerful analytical toolkit for the science of artificial minds.
Yıldırım, E. (2025). THE MONOGRAPH of Somatic Information FRAMEWORK. Zenodo. https://doi.org/10.5281/zenodo.17069625
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