5 papers
Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension
Fumitaka Iwaki, Miho Fuyama, Hayato Saigo +1
In this study, we developed a computational implementation for a model of metaphor comprehension based on the theory of indeterminate natural transformation (TINT) proposed by Fuya…
Investigating the structure of emotions by analyzing similarity and association of emotion words
Fumitaka Iwaki, Tatsuji Takahashi
In the field of natural language processing, some studies have attempted sentiment analysis on text by handling emotions as explanatory or response variables. One of the most popul…
Contextual Exploration Using a Linear Approximation Method Based on Satisficing
Akane Minami, Yu Kono, Tatsuji Takahashi
Deep reinforcement learning has enabled human-level or even super-human performance in various types of games. However, the amount of exploration required for learning is often qui…
Guaranteed satisficing and finite regret: Analysis of a cognitive satisficing value function
Akihiro Tamatsukuri, Tatsuji Takahashi
As reinforcement learning algorithms are being applied to increasingly complicated and realistic tasks, it is becoming increasingly difficult to solve such problems within a practi…
Bayesian Inference of Self-intention Attributed by Observer
Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa +2
Most of agents that learn policy for tasks with reinforcement learning (RL) lack the ability to communicate with people, which makes human-agent collaboration challenging. We belie…