US US20260236498A1

Systems and Methods for Federated Experiential Manifolds with Divergence-Minimizing Coupling

Abstract

An experiential intelligence system transforms human experiences into computational insights through geometric representation and processing. The system employs an experiential geometric manifold that represents experiences as geometric structures in a multi-dimensional space encompassing emotional valence, sensory modalities, temporal evolution, and contextual embedding. An experience capture engine receives multimodal experiential data and transforms it into geometric representations suitable for integration into the manifold. An experiential resonance engine analyzes geometric relationships between stored experiences, identifying meaningful connections based on geometric proximity, curvature similarity, and topological features. A wisdom synthesis engine processes experience collections through geometric integration techniques to generate wisdom artifacts representing insights derived from patterns across multiple experiential trajectories. The system enables applications including personal growth, therapeutic support, educational platforms, and collaborative sense-making while maintaining privacy through geometric-level encryption and access control.

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