Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ryunosuke Chiba"'
Autor:
Yoshiteru Ishida, Ryunosuke Chiba
Publikováno v:
KES
Free will is an important component of consciousness. Modeling an artificial consciousness requires clarifying the significance and the definition of free will. This study proposes a definition of free will similar to the epsilon-delta definition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea19a7234aeb6627774cadb1da8e0c8
https://doi.org/10.1016/j.procs.2017.08.190
https://doi.org/10.1016/j.procs.2017.08.190
Autor:
Yoshiteru Ishida, Ryunosuke Chiba
Publikováno v:
KES
This paper proposes a framework for web intelligence based on virtual sensor networks on the web. “Strong AI” requires a framework that allows the AI to make inferences using incomplete, dynamic and growing data on the web. An example of such inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60c346435c6c608843020ff08c42889e
https://doi.org/10.1016/j.procs.2015.08.285
https://doi.org/10.1016/j.procs.2015.08.285
Autor:
Mika Sato-Ilic, Ryunosuke Chiba
Publikováno v:
Complex Adaptive Systems
Large amounts and varieties of data have gained the interest of various industrial companies as well as fed the ever expanding need of the public for information exchange. At the same time, internet sites that are evaluated by target audiences have i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f29d1c79104ae52e191191cbf6e04ea
https://doi.org/10.1016/j.procs.2012.09.060
https://doi.org/10.1016/j.procs.2012.09.060
Publikováno v:
Intelligent Decision Technologies ISBN: 9783642299766
This paper presents a similarity of fuzzy clusters based analysis for consumer preference evaluation data. We apply this method to multiple types of evaluation data. The merit of this method is to capture the latent structure of consumer preferences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79ed66799dedcbab1da37eaa6b7c9cbe
https://doi.org/10.1007/978-3-642-29977-3_8
https://doi.org/10.1007/978-3-642-29977-3_8
