10 papers
Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition
Byung Gyu Chae
Cognitive Field Theory describes cognition as memory-dressed collective dynamics, in which slow relaxation modes support a persistent cognitive field. By connecting non-Markovian m…
Infrared Universality of Collective Dynamics across Transformer and State-Space Architectures
Byung Gyu Chae
Whether distinct neural architectures develop common collective dynamics remains an open question. Recent analysis of Transformer language models revealed a nearly flat, weakly inf…
Infrared Organization and Critical Cognitive Field Formation in Transformer Dynamics
Byung Gyu Chae
Large language models exhibit remarkable emergent behaviors, yet the physical mechanism governing their collective dynamics remains poorly understood. Cognitive Field Theory predic…
Emergence of Superintelligence from Collective Near-Critical Dynamics in Reentrant Neural Fields
Byung Gyu Chae
Superintelligence is commonly envisioned as a quantitative extrapolation of human cognitive abilities driven by scale and computational power. Here we show that qualitative transit…
Memory-Dominated Quantum Criticality as a Universal Route to High-Temperature Superconductivity
Byung Gyu Chae
Understanding the dynamical origin of high-temperature superconductivity remains a central challenge in strongly correlated quantum matter. Near quantum criticality, diverging corr…
Self-Organized Criticality from Protected Mean-Field Dynamics: Loop Stability and Internal Renormalization in Reflective Neural Systems
Byung Gyu Chae
The reflective homeostatic dynamics provides a minimal mechanism for self-organized criticality in neural systems. Starting from a reduced stochastic description, we demonstrate wi…
Cognitive Field Theory: Memory-Dressed Collective Dynamics of Intelligence
Byung Gyu Chae
Learning, inference, memory, and emergence in biological and artificial systems are often described using disparate theoretical frameworks. Here we develop a cognitive field theory…
Renormalization-Group Geometry of Homeostatically Regulated Reentry Networks
Byung Gyu Chae
Reentrant computation-recursive self-coupling in which a network continuously reinjects and reinterprets its own internal state-plays a central role in biological cognition but rem…
Continuous-Time Homeostatic Dynamics for Reentrant Inference Models
Byung Gyu Chae
We formulate the Fast-Weights Homeostatic Reentry Network (FHRN) as a continuous-time neural-ODE system, revealing its role as a norm-regulated reentrant dynamical process. Startin…
Recursive Dynamics in Fast-Weights Homeostatic Reentry Networks: Toward Reflective Intelligence
B. G. Chae
This study introduces the Fast-Weights Homeostatic Reentry Layer (FH-RL), a neural mechanism that integrates fast-weight associative memory, homeostatic regularization, and learned…