He Xin's PEPC system formalizes dialectical logic for dynamic concept evolution. It introduces mathematization for handling contradictions and sub-coherence in complex processes. Applications span strategy, AI, philosophy, forecasting, and cross-disciplinary modeling.
Key Points
- 1.Complex systems analysis and strategic deduction
- 2.AI dynamic learning and concept evolution
- 3.Philosophy, history, and social science research
Impact Analysis
Benefits AI researchers, strategists, and social scientists by enabling dynamic contradiction modeling beyond traditional logic. It could transform AI knowledge graphs, strategic wargaming, and trend forecasting. Potential to become a next-generation tool for evolutionary processes.
Technical Details
Uses dynamic, sub-coherent, contradiction-compatible logic with historical concept class sets and He Xin Trees. Transforms multi-dimensional parameters into computable models for evolution deduction. Tested for consistency in wargaming indicators like conflict probability.