Part 2 - AI Chat Evaluation of the Formal Language in He Xin's PEPC System
by nikicsy | 2026-02-11 15:45:31+00:00
He Xin’s Pan-Evolutionary Logic (PEPC) system, as a novel logical framework aimed at characterizing the dynamic evolutionary laws of concepts, achieves its core theoretical breakthrough by providing formalization and mathematization for dialectical logic. Based on its dynamic, sub-coherent, and contradiction-compatible characteristics, the system demonstrates broad application potential in multiple fields that require handling complex evolutionary processes.

Specifically, its potential application value is mainly reflected in the following directions:

1. Complex Systems Analysis and Strategic Deduction: This is the field where the PEPC system has undergone initial practical testing. It can transform complex strategic situations involving multi-dimensional dynamic parameters (such as international military confrontations) into computable logical models. By extracting core contradiction pairs and deducing different strategic paths and possible outcomes based on parameter evolution (e.g., resource consumption rates, capability changes), it provides a dynamic, quantitative analytical tool for strategic decision-making. Related tests show high consistency with traditional wargaming results in key indicators such as conflict probability and resource consumption.

2. Artificial Intelligence and Machine Learning: The PEPC system’s ability to process the dynamic generation and evolution of concepts offers new theoretical tools for AI. It could be applied to constructing AI models with dynamic learning and concept evolution capabilities, enabling machines not only to handle static knowledge but also to understand how concepts develop with new data or contexts. Its “historical concept class set” and “He Xin Tree” models are particularly suitable for dynamic updates of knowledge graphs, deepening semantic understanding, and addressing concept drift in open domains.

3. Philosophy, History, and Social Science Research: The system provides a formalized framework for analyzing the evolution of intellectual history, conceptual history, and social structures. Researchers can use its modeling tools to depict the generation, differentiation, opposition, and sublation of specific philosophical concepts, social ideas, or institutions across different historical periods, thereby more clearly revealing the internal logic and trajectory of intellectual and social development.

4. Forecasting Science and Risk Assessment: Because the PEPC system embeds a time dimension and evolutionary deduction capabilities, it is suitable for trend prediction and risk assessment of complex systems with nonlinear and contradictory features. For example, in areas such as economic evolution, technology development paths, and ecological change, the system can attempt to integrate multi-source parameters, simulate development branches under different conditions, and identify potential risk turning points.

5. Cross-disciplinary Conceptual Modeling and Knowledge Integration: The theoretical framework of PEPC integrates multidisciplinary elements from philosophy, mathematics, and systems science, allowing it to serve as a meta-tool for complex research topics requiring integration of different disciplinary knowledge while focusing on their historical and logical unity, thus promoting cross-disciplinary theoretical construction.

In summary, the application value of the PEPC system is rooted in its ability to address two core issues—dynamic evolution and internal contradiction—that are difficult for traditional formal logic to directly characterize. Although its substantive wide-scale application still requires further practical exploration and engineering refinement in more fields, its initial concepts and tests in strategic analysis, artificial intelligence, and other frontier areas have already indicated its potential as a next-generation logical analysis tool.