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Web-Based Five Senses Input Simulation : Ten Years Later
Title: | Web-Based Five Senses Input Simulation : Ten Years Later |
Authors: | Rzepka, Rafal Browse this author →KAKEN DB | Araki, Kenji Browse this author →KAKEN DB |
Issue Date: | 26-Jul-2013 |
Publisher: | ことば工学事務局 |
Journal Title: | ことば工学研究会 : 人工知能学会第2種研究会ことば工学研究会資料 |
Volume: | 43 |
Start Page: | 25 |
End Page: | 33 |
Abstract: | A decade has passed from our paper in which we question the sensors technology not being ready to give a machine the five senses with the recognition level close to human’s and, as we expected, sensing devices are still not sufficient to become a base for the world knowledge based reasoning. Although we did not developed the proposed system any further because of limited access to Internet data, the need for machine experience is now even more urgent than before. Existing world knowledge retrieval systems tend more and more to concentrate on nameentity information ignoring very basic world knowledge which is still one of the most difficult obstacles on the path for reasoning about everyday situations. In our paper we will introduce results of our latest trial to automatize previously proposed theory for enriching machine’s capability to simulate environmental perception and deepen human behavior understanding. |
Type: | article |
URI: | http://hdl.handle.net/2115/63961 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: RZEPKA Rafal
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