Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Takazumi, Matsumoto"'
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
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:
Takazumi Matsumoto, Jun Tani
Publikováno v:
Entropy, Vol 22, Iss 5, p 564 (2020)
It is crucial to ask how agents can achieve goals by generating action plans using only partial models of the world acquired through habituated sensory-motor experiences. Although many existing robotics studies use a forward model framework, there ar
Externí odkaz:
https://doaj.org/article/804ab67f10bc425b945a03a2b480b0b5
Publikováno v:
Neural Computation. 33:2353-2407
Generalization by learning is an essential cognitive competency for humans. For example, we can manipulate even unfamiliar objects and can generate mental images before enacting a preplan. How is this possible? Our study investigated this problem by
Publikováno v:
IROS
Mental simulation is a critical cognitive function for goal-directed behavior because it is essential for assessing actions and their consequences. When a self-generated or externally specified goal is given, a sequence of actions that is most likely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::073580c118196fef697af4ea9ebbba3e
http://arxiv.org/abs/1903.04932
http://arxiv.org/abs/1903.04932
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a805734b715e413dc70ed5d6f90e8b34
https://doi.org/10.1007/978-1-4614-7163-9_376-1
https://doi.org/10.1007/978-1-4614-7163-9_376-1
Publikováno v:
第 28 回 日本神経回路学会全国大会 講演論文集 = The Proceedings of the 28th Annual Conference of the Japanese Neural Network Society. :134-135
The ability to plan and visualize object manipulation in advance is vital for both humans and robots to smoothly reach a desired goal state. In this work, we demonstrate how our predictive coding based deep visuomotor recurrent neural network (PDVMRN
Autor:
Takazumi Matsumoto, Man Lung Yiu
Publikováno v:
ICDM
In recent years, the use of Graphics Processing Units (GPUs) for data mining tasks has become popular. With modern processors integrating both CPUs and GPUs, it is also important to consider what tasks benefit from GPU processing and which do not, an
Autor:
Takazumi Matsumoto, Edward Hung
Publikováno v:
Journal of Intelligent Information Systems. 38:419-448
This paper details a modular, self-contained web search results clustering system that enhances search results by (i) performing clustering on lists of web documents returned by queries to search engines, and (ii) ranking the results and labeling the
Autor:
Takuya Tsunoda, Tohru Ishida, Takazumi Matsumoto, Yuzuru Yoshida, Ayuko Kozuka, Hiroshi Niinami, Atsushi Sekiguchi
Publikováno v:
Japanese journal of extra-corporeal technology. 35:116-119
メインローラーポンプと別ローラーポンプで分離送血を施行した場合に、メイン流量と関係なく、人工肺から空気を引き込まず安全に施行するために、メインポンプを短絡し、リザーバ