
URI v.1 unifies Pattana-Relational Dynamics (PRD) with artificial general intelligence through a 24-generator SU(5) relational algebra. The framework formalizes non-local causal relations as fundamental, providing predictive corrections to black hole thermodynamics (α ≈ 1.274 for Kerr horizons) and a relationally grounded AGI architecture. URI-AGI nodes process causal weights rather than statistical correlations, enabling cognitive simulations via Upanissaya-Asevana shifts. Includes full SU(5) generator mappings and Python prototype for causal computation and counseling.
Pattana-Relational Dynamics, URI-AGI Architecture, Paccaya, Causal Reasoning Nodes, URI, Scale-dependent Weighting, Relational Computation, Causal AGI, Black Hole Thermodynamics, Non-local Causality, Python Prototype, Relational Entanglement, Relational Structure Constant α, Unified Relational Intelligence, Upanissaya-Asevana, Causal Operators, Hawking Temperature Correction, SU(5) Lie Algebra, Kerr Black Holes, PRD
Pattana-Relational Dynamics, URI-AGI Architecture, Paccaya, Causal Reasoning Nodes, URI, Scale-dependent Weighting, Relational Computation, Causal AGI, Black Hole Thermodynamics, Non-local Causality, Python Prototype, Relational Entanglement, Relational Structure Constant α, Unified Relational Intelligence, Upanissaya-Asevana, Causal Operators, Hawking Temperature Correction, SU(5) Lie Algebra, Kerr Black Holes, PRD
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