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Natural language understanding and cognitive robotics /
In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for r...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press/Taylor & Francis Group,
2019.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Yokota, Masao, |d 1954- |e author. | |
| 245 | 1 | 0 | |a Natural language understanding and cognitive robotics / |c Masao Yokota, Department of Intelligent Information Systems Engineering, Fukuoka Institude of Technology, Japan. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press/Taylor & Francis Group, |c 2019. | |
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| 520 | |a In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc. The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as Loci in Attribute Spaces' and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user's intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography Examines current trends in machine translation | ||
| 545 | 0 | |a Masao Yokota received a Bachelor degree from Kyushu Institute of Technology, and Master and Doctor degrees from Kyushu University. He is now a professor of informatics at Fukuoka Institute of Technology. His research focus is on AI, especially in integrative multimedia understanding by robots in being as 'natural' as humans where natural language understanding (NLU) plays the central role. He has proposed 'Mental Image Directed Semantic Theory (MIDST)' based on a hypothesis that NLU in humans is mental image processing. MIDST provides an omnisensory mental image model and a formal language called 'Lmd (Language for Mental Image Description)'. This formal language has been already implemented on several versions of the intelligent system IMAGES including integrative multimedia understanding system IMAGES-M and conversation management system CMS. Dr. Yokota has authored numerous articles on AI and was the leader of many projects funded by Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT), and Fukuoka Institute of Technology (FIT). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Natural language processing viewed from semantics -- Fundamentals for robotic natural language understanding -- Cognitive essentials for mental image directed semantic theory -- Computational model of mental image -- Formal system -- Fundamental postulates and inference rules for deductive system -- Human-specific semantics of 4D language as mental images -- Problem finding and solving in formal system -- Human language understanding by robots -- 4D language understanding for cognitive robotics -- Multilingual operation via mental image description language -- Computational model of Japanese for natural language understanding -- Implementation of mental-image based understanding -- Robotic imitation guided by natural language. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Psycholinguistics. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Linguistique informatique. | |
| 650 | 6 | |a Psycholinguistique. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a computational linguistics. |2 aat | |
| 650 | 7 | |a psycholinguistics. |2 aat | |
| 650 | 7 | |a TECHNOLOGY |x Robotics. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Artificial Intelligence. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY |x General. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Computational linguistics |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Psycholinguistics |2 fast | |
| 776 | 0 | 8 | |i Print version: |z 9781000733433 |
| 776 | 0 | 8 | |i Print version: |z 9780367360313 |z 0367360314 |w (DLC) 2019029576 |w (OCoLC)1111638384 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5989400 |z Texto completo |
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