Cognitive Process
Cognitive process research investigates how humans acquire, process, and utilize information, focusing on understanding the underlying mechanisms of thought, reasoning, and decision-making. Current research employs various computational models, including neural networks (like Transformers and LSTMs), and active inference frameworks, to simulate and analyze cognitive processes such as language comprehension, reasoning, and decision-making in both healthy individuals and those with conditions like dyslexia. This work aims to bridge the gap between human and artificial intelligence, informing the development of more human-like AI systems and offering insights into the neural correlates of cognition, ultimately advancing our understanding of the human mind and its capabilities.
Papers
One system for learning and remembering episodes and rules
Joshua T. S. Hewson, Sabina J. Sloman, Marina Dubova
Cognitive Process during Palpation and Basic Concept of Remote Palpation System
Matti Itkonen, Shotaro Okajima, Sayako Ueda, Alvaro Costa-Garcia, Yang Ningjia, Tadatoshi Kurogi, Takeshi Fujiwara, Shigeru Kurimoto, Shintaro Oyama, Masaomi Saeki, Michiro Yamamoto, Hidemasa Yoneda, Hitoshi Hirata, Shingo Shimoda