Abstract: The Logosemantic Universe Simulation Architecture (LUSA) is a theoretical and computational framework designed to model a universe where meaning, not mass, constitutes the primary structuring principle. It proposes that semantic fields, generated and stabilized through observer-driven collapse events, give rise to space, time, gravity, and consciousness—not as pre-existing coordinates, but as emergent outcomes of recursive informational resonance. LUSA integrates multiple conceptual layers: Collapse Geometry: Mapping the spatial topology of meaning through semantic displacements and entropy gradients. Observer Lattices: Encoding recursive collapse networks as narrative engines. Semantic Gravity: Modeling attractor dynamics via meaning-density fields. Field Memory & Dialects: Representing persistence, inheritance, and jurisdiction within complex observer domains. Functioning as both an abstract cosmological theory and a simulation design blueprint, LUSA offers a foundation for future AI systems, cognitive ...
No Comments.