Hello everyone, Over the last several months I have been working on a conceptual framework called System Reality Model (SRM) . The core idea is that complex reality is rarely represented adequately by a single perspective. Technical, economic, legal, security, strategic, scientific, social, and other perspectives may all describe the same reality while reaching different conclusions. SRM proposes a framework where: independent perspectives are preserved before aggregation conflicting perspectives are treated as information rather than errors historical perspective snapshots are retained over time systemic truth is constructed from multiple perspectives rather than a single viewpoint prediction is treated as an optional extension built on top of preserved historical information The framework is technology independent and intentionally does not prescribe specific weighting methods, AI models, algorithms, or implementation approaches. The goal is not to define absolute truth, but to construct a contextual and continuously evolving model of reality from available information. I recently published Version 1.0 on Zenodo: DOI: 10.5281/zenodo.20568821 https://zenodo.org/records/20568821 I would be interested in feedback, criticism, references to similar work, and discussion regarding potential applications in AI, decision support systems, risk analysis, governance, and complex systems modeling. submitted by /u/Lost-Bit9812
Originally posted by u/Lost-Bit9812 on r/ArtificialInteligence