Masao Yokota

Natural Language Understanding and Cognitive Robotics (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book is aimed at researchers and students interested in artificial intelligence, robotics, or cognitive science. Based on philosophical considerations, this will also have an appeal in linguistics, psychology, ontology, geography, and cartography.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 210
• Erscheinungstermin: 6. Dezember 2019
• Englisch
• ISBN-13: 9781000733051
• Artikelnr.: 58391867

Autorenporträt

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).

Inhaltsangabe

Introduction
Anna - an ideal home robot
Intuitive human-robot interaction
Integrative multimedia understanding and natural language understanding
Knowledge and cognition
Natural Language Processing Viewed from Semantics
Trends in machine translation
Case study of current MT systems (as of October
2018)
Fundamentals for Robotic NLU
NLU in accordance with semiotics
Syntactic analysis
Semantic analysis and pragmatic analysis
Robust NLU
Response synthesis
Syntax and semantics of discourse
Cognitive Essentials for Midst
Functional model of human mind
Human knowledge and cognitive propensities
Semantics and mental image
QSIs (quasi-symbolic images) and human concept system
Primitive quasi-symbolic images
Perception of causality
Semantic articulation and QSI connectors
Negation of mental image
Imaginary space region
Computational Model of Mental Image
Atomic locus as primitive QSI
Temporal conjunctions as QSI connectors
Empty event
Attributes and Standards
Formal System
Semantic principle of Lmd
Syntax of Lmd
Tempo-logical connectives
Formulation of event concepts
Formulation of laws of the world
Fundamental Postulates and Inference Rules for Deductive System
Properties of Loci
Inference rules for deduction
Tempo-logical deduction with TLCs
Human-Specific Semantics of 4d Language as Mental Images
Conventional approaches to 4D language understanding
4D language semantics as mental images
Formulation of concepts of spatial prepositions
Properties of static 4D concepts as human intuitive mental images
Reversal operation on spatial change event concepts as mental images
Problem Finding and Solving in Formal System
Definition of problem and task
Creation problem finding and solving
Maintenance problem finding and solving
Human Language Understanding by Robots
Two-staged robotic NLU
Robotic concept system for iHRI
Compound concept system for robots
Robot manipulation as cross-media operation via Lmd
Aware computing in robots
Homogeneous/Inhomogeneous Communication
4d Language Understanding for Cognitive Robotics
Requirements for robotic NLU
Logical Adequacy of Lmd
Translation between NL and Lmd
Reasoning in Lmd
Anchoring via Lmd
Behavioralization via Lmd
Systematic interpretation of Lmd
Multilingual Operation Via Lmd
Meaning definition
Optimization of grammatical description for word meaning definition
Language operation via Lmd
Question answering through Lmd
Computational Model of Japanese for NLU
Brief description of basic Japanese
Phrase structure grammar for Japanese
Dependency grammar for Japanese
Sentence and discourse of Japanese
Sentence types of Japanese and phrasing
Implementation of Mental-Image Based Understanding
Configuration of CMS
MBU versus conventional NLU
Stimulus sentences to CMS and human subjects
Mental image based understanding by CMS
Problem finding and solving in CMS
Awareness control of CMS
Conclusions
References.