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008			191212s2019 flu ob 001 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000733051 _q(electronic bk.)
020			_a100073305X _q(electronic bk.)
020			_a9780429343391 _q(electronic bk.)
020			_a0429343396 _q(electronic bk.)
020			_a9781000733433 _q(electronic bk. : EPUB)
020			_a1000733432 _q(electronic bk. : EPUB)
020			_z9780367360313
020			_z0367360314
035			_a(OCoLC)1130706417
035			_a(OCoLC-P)1130706417
050		4	_aQA76.9.N38
072		7	_aTEC _x037000 _2bisacsh
072		7	_aCOM _x004000 _2bisacsh
072		7	_aTEC _x000000 _2bisacsh
072		7	_aCFX _2bicssc
082	0	4	_a006.35 _223
100	1		_aYokota, Masao, _d1954- _eauthor.
245	1	0	_aNatural language understanding and cognitive robotics _h[electronic resource] / _cMasao Yokota, Department of Intelligent Information Systems Engineering, Fukuoka Institude of Technology, Japan.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press/Taylor & Francis Group, _c2019.
300			_a1 online resource
520			_aIn 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
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aTECHNOLOGY / Robotics _2bisacsh
650		7	_aCOMPUTERS / Artificial Intelligence _2bisacsh
650		7	_aTECHNOLOGY / General _2bisacsh
650		0	_aNatural language processing (Computer science)
650		0	_aArtificial intelligence.
650		0	_aComputational linguistics.
650		0	_aPsycholinguistics.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429343391
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c126398 _d126398