Natural language understanding and cognitive robotics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
CRC Press
[2020]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | iv, 204 Seiten Illustrationen |
| ISBN: | 9780367360313 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents Preface 1. Introduction iii 1 2. Natural Language Processing Viewed from Semantics 12 3. Fundamentals for Robotic Natural Language Understanding 28 4. Cognitive Essentials for Mental Image Directed Semantic Theory 48 5. Computational Model of Mental Image 64 6. Formal System 74 7. Fundamental Postulates and Inference Rules for Deductive System 84 8. Human-Specific Semantics of 4D Language as Mental Images 95 9. Problem Finding and Solving in Formal System 109 10. Human Language Understanding by Robots 112 11. 4D Language Understanding for Cognitive Robotics 119 12. Multilingual Operation via Mental Image Description Language 136 13. Computational Model of Japanese for Natural Language Understanding 145 14. Implementation of Mental-Image BasedUnderstanding 161 15. Robotic Imitation Guided byNatural Language 176 Conclusions 188 References 190 Appendix 196 Index 199 Color Section 203
Natural Language Understanding and Cognitive Robotics describes how robots acquire human-like traits of natural language understanding (NLU), the core of which is mental image directed semantic theory (MIDST). It is based on the hypothesis that NLU by humans essentially involves processing mental image associated with natural language expressions. MIDST is intended to model omnisensory mental images in humans and provide a knowledge representation system for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities, e.g. humans and robots, with a systematic scheme for symbol-grounding. The book is aimed at researchers and students interested in artificial intelligence, robotics, or cognitive science. Based on philosophical considerations, this volume will also have an appeal in linguistics, psychology, ontology, geography, and cartography. 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 Al, 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 Al 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).
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| discipline | Informatik |
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| title | Natural language understanding and cognitive robotics |
| title_auth | Natural language understanding and cognitive robotics |
| title_exact_search | Natural language understanding and cognitive robotics |
| title_full | Natural language understanding and cognitive robotics Masao Yokota |
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| title_short | Natural language understanding and cognitive robotics |
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