Fractal Metascience: Foundations and a Research Programme for Recursive, Multi-Scale, Human-AI Symbiotic Knowledge Systems
Year: 2026
Type: preprint
Abstract: This paper presents Fractal Metascience Paradigm (FMP) as a proposed metascientific research programme for studying and constructing complex knowledge systems. FMP responds to disciplinary fragmentation by investigating whether recurrent organizational patterns can connect phenomena and forms of knowledge across scales without reducing them to a single language or discipline. Its core principles are fractal self-similarity, recursive co-construction, and emergent transdisciplinary integration. The paper clarifies five original constructs: NULLO as an ontological zero-point; Post Lingua Trace (PLT) as meaning beyond linguistic representation; Universal Communication (UCOM/UCOMM); Emergent Universal Organization (EUO); and Invisible Shadow as a continuity principle. Human-AI symbiosis is treated as a constitutive methodological condition. FMP is offered not as a finished paradigm, but as a coherent, falsifiable, and constructively realizable research programme.
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7165052875
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