3 papers
cs.AI2026
A Simple Generative Model of Logical Reasoning and Statistical Learning
Hiroyuki Kido
Statistical learning and logical reasoning are two major fields of AI expected to be unified for human-like machine intelligence. Most existing work considers how to combine existi…
cs.AI2026
Towards Unifying Perceptual Reasoning and Logical Reasoning
Hiroyuki Kido
An increasing number of scientific experiments support the view of perception as Bayesian inference, which is rooted in Helmholtz's view of perception as unconscious inference. Rec…
cs.AI2025
A Data-Transparent Probabilistic Model of Temporal Propositional Abstraction
Hiroyuki Kido
Standard probabilistic models face fundamental challenges such as data scarcity, a large hypothesis space, and poor data transparency. To address these challenges, we propose a nov…