Natural Language Understanding and Cognitive Robotics
eBook - PDF

Natural Language Understanding and Cognitive Robotics

  1. 204 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Natural Language Understanding and Cognitive Robotics

About this book

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

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Yes, you can access Natural Language Understanding and Cognitive Robotics by Masao Yokota in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Table of Contents
  6. 1: Introduction
  7. 2: Natural Language Processing Viewed from Semantics
  8. 3: Fundamentals for Robotic Natural Language Understanding
  9. 4: Cognitive Essentials for Mental Image Directed Semantic Theory
  10. 5: Computational Model of Mental Image
  11. 6: Formal System
  12. 7: Fundamental Postulates and Inference Rules for Deductive System
  13. 8: Human-Specific Semantics of 4D Language as Mental Images
  14. 9: Problem Finding and Solving in Formal System
  15. 10: Human Language Understanding by Robots
  16. 11: 4D Language Understanding for Cognitive Robotics
  17. 12: Multilingual Operation via Mental Image Description Language
  18. 13: Computational Model of Japanese for Natural Language Understanding
  19. 14: Implementation of Mental-Image Based Understanding
  20. 15: Robotic Imitation Guided by Natural Language
  21. Conclusions
  22. References
  23. Appendix
  24. Index
  25. Color Section