2 papers
cond-mat.dis-nn2026
On physical implementability of reinforcement-learning-driven reasoning
Eiji Konishi
In the machine learning community, the reinforcement-learning-driven reasoning process has been intensively studied since around 2025. In this article, we present a negative result…
quant-ph2025
Information-acquiring von Neumann architecture of a computer: A theoretical design
Eiji Konishi
We design the information-acquiring von Neumann architecture of a computer in a fine-grained or coarse-grained model of the registers (quickly accessible memories) in the central p…