Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Jun, Tani"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Behaving efficiently and flexibly is crucial for biological and artificial embodied agents. Behavior is generally classified into two types: habitual (fast but inflexible), and goal-directed (flexible but slow). While these two types of beha
Externí odkaz:
https://doaj.org/article/935df5d0c27142c8a1a87c19e896f487
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract The brain attenuates its responses to self-produced exteroceptions (e.g., we cannot tickle ourselves). Is this phenomenon, known as sensory attenuation, enabled innately, or acquired through learning? Here, our simulation study using a multi
Externí odkaz:
https://doaj.org/article/f69680c600094ec08a9e73f0455307e6
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionInvestigating the pathological mechanisms of developmental disorders is a challenge because the symptoms are a result of complex and dynamic factors such as neural networks, cognitive behavior, environment, and developmental learning. Rec
Externí odkaz:
https://doaj.org/article/39dc558d63234d87abe8eddf8178f813
Publikováno v:
Entropy, Vol 25, Iss 11, p 1506 (2023)
This study investigated how a physical robot can adapt goal-directed actions in dynamically changing environments, in real-time, using an active inference-based approach with incremental learning from human tutoring examples. Using our active inferen
Externí odkaz:
https://doaj.org/article/b10fab1ebe0849a18275343b5659f7c9
Autor:
Vsevolod Nikulin, Jun Tani
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Robot kinematic data, despite being high-dimensional, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret motions as points drawn close to a
Externí odkaz:
https://doaj.org/article/f8bcf251814348558474d8f4aa83af71
Publikováno v:
Entropy, Vol 25, Iss 2, p 263 (2023)
This study explains how the leader-follower relationship and turn-taking could develop in a dyadic imitative interaction by conducting robotic simulation experiments based on the free energy principle. Our prior study showed that introducing a parame
Externí odkaz:
https://doaj.org/article/80da71e17ae04df8a3bc51f3f7edcff6
Publikováno v:
Computational Psychiatry, Vol 2, Pp 164-182 (2018)
Recently, applying computational models developed in cognitive science to psychiatric disorders has been recognized as an essential approach for understanding cognitive mechanisms underlying psychiatric symptoms. Autism spectrum disorder is a neurode
Externí odkaz:
https://doaj.org/article/69190e16e6ef473abeb0d3749beeadd4
Publikováno v:
Frontiers in Psychology, Vol 11 (2020)
Interdisciplinary efforts from developmental psychology, phenomenology, and philosophy of mind, have studied the rudiments of social cognition and conceptualized distinct forms of intersubjective communication and interaction at human early life. Int
Externí odkaz:
https://doaj.org/article/cb8412da04d84931b6a19bc42778d989
Publikováno v:
Entropy, Vol 24, Iss 4, p 469 (2022)
We show that goal-directed action planning and generation in a teleological framework can be formulated by extending the active inference framework. The proposed model, which is built on a variational recurrent neural network model, is characterized
Externí odkaz:
https://doaj.org/article/34ff009c8ec149eea40119be5c8acfe7
Autor:
Wataru Ohata, Jun Tani
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
When agents interact socially with different intentions (or wills), conflicts are difficult to avoid. Although the means by which social agents can resolve such problems autonomously has not been determined, dynamic characteristics of agency may shed
Externí odkaz:
https://doaj.org/article/b5d2f6b6f3d346838ba3300e9c95ebab