Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 10, 2026Open Access

Meta-Methodology of Complex System Evolution: A Universal Problem-Solving Framework Based on Ontology of Cognitive Succession

View Full Paper
Ask AI
Bookmark
Share

Authors

MLMingxiang Liu

Discussion

Loading...

Member takes

Overview

Meta-methodology evaluates complex system evolution, suggesting solutions for diverse fields, indicating broad applicability.

Key Points

  • This research aims to create a universal framework to understand and solve complex system problems through cognitive succession.
  • Developed a six-step standardized system regulation operation paradigm.
  • Established quantitative standards for cognitive coverage and deviation rates.
  • Derived axioms from the ontology of cognitive succession and spatiotemporal rules.”],
  • Identified three key axioms for system evolution: irreversibility, homologous breakpoints, and cognitive deviation types.
  • Established a universal methodology applicable across various disciplines, facilitating interdisciplinary solutions.
  • Demonstrated the potential for resolving complex issues in areas like bioengineering, energy materials, and artificial intelligence.

Cite This Study

Mingxiang Liu (2026) studied this question.

synapsesocial.com/papers/6a2900d96f82f25be989d46bhttps://doi.org/10.5281/zenodo.20590767
View Full Paper
Ask AI
Bookmark
Share