3 papers
cs.AI2026
Intelligence Inertia: Physical Isomorphism and Applications
Jipeng Han
Classical frameworks like Fisher Information approximate the cost of neural adaptation only in low-density regimes, failing to explain the explosive computational overhead incurred…
cs.SE2024
Chain-Oriented Objective Logic with Neural Network Feedback Control and Cascade Filtering for Dynamic Multi-DSL Regulation
Jipeng Han
Contributions to AI: This paper proposes a neuro-symbolic search architecture integrating discrete rule-based logic with lightweight Neural Network Feedback Control (NNFC). Utilizi…
cs.AI2023
COOL: A Constraint Object-Oriented Logic Programming Language and its Neural-Symbolic Compilation System
Jipeng Han
This paper explores the integration of neural networks with logic programming, addressing the longstanding challenges of combining the generalization and learning capabilities of n…