34 citations · 40 across the 6 of their papers we have counts for
6 papers
What Machine Learning Tells Us About the Mathematical Structure of Concepts
Jun Otsuka
This paper examines the connections among various approaches to understanding concepts in philosophy, cognitive science, and machine learning, with a particular focus on their math…
Collective Predictive Coding as Model of Science: Formalizing Scientific Activities Towards Generative Science
Tadahiro Taniguchi, Shiro Takagi, Jun Otsuka +2
This paper proposes a new conceptual framework called Collective Predictive Coding as a Model of Science (CPC-MS) to formalize and understand scientific activities. Building on the…
On the Equivalence of Causal Models: A Category-Theoretic Approach
Jun Otsuka, Hayato Saigo
We develop a category-theoretic criterion for determining the equivalence of causal models having different but homomorphic directed acyclic graphs over discrete variables. Followi…
Sustainability and Fairness Simulations Based on Decision-Making Model of Utility Function and Norm Function
Takeshi Kato, Yasuyuki Kudo, Junichi Miyakoshi +6
We introduced a decision-making model based on value functions that included individualistic utility function and socio-constructivistic norm function and proposed a norm-fostering…
Rational Choice Hypothesis as X-point of Utility Function and Norm Function
Takeshi Kato, Yasuyuki Kudo, Junichi Miyakoshi +5
Towards the realization of a sustainable, fair and inclusive society, we proposed a novel decision-making model that incorporates social norms in a rational choice model from the s…
Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library
Jaimie Murdock, Colin Allen, Katy Börner +9
We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hy…