Japanese Animation: East Asian Perspectives makes available for the first time to English readership a selection of viewpoints from media practitioners, designers, educators, and scholars working in the East Asian Pacific. This collection not only engages a multidisciplinary approach in understanding the subject of Japanese animation but also shows ways to research, teach, and more fully explore this multidimensional world.Presented in six sections, the translated essays cross-reference each other. The collection adopts a wide range of critical, historical, practical, and experimental approaches. This variety provides a creative and fascinating edge for both specialist and nonspecialist readers. Contributors' works share a common relevance, interest, and involvement despite their regional considerations and the different modes of analysis demonstrated. They form a composite of teaching and research ideas on Japanese animation.

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 IMUUses methodology that also relates to linguistics, psychology, ontology, geography, and cartographyExamines current trends in machine translation

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

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

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 IMUUses methodology that also relates to linguistics, psychology, ontology, geography, and cartographyExamines current trends in machine translation

Contributions by Graham Barton, Raz Greenberg, Gyongyi Horvath, Birgitta Hosea, Tze-yue G. Hu, Yin Ker, M. Javad Khajavi, Richard J. Leskosky, Yuk Lan Ng, Giryung Park, Eileen Anastasia Reynolds, Akiko Sugawa-Shimada, Koji Yamamura, Masao Yokota, and Millie Young Getting in touch with a spiritual side is a craving many are unable to express or voice, but readers and viewers seek out this desired connection to something greater through animation, cinema, anime, and art. Animating the Spirited: Journeys and Transformations includes a range of explorations of the meanings of the spirited and spiritual in the diverse, dynamic, and polarized creative environment of the twenty-first century. While animation is at the heart of the book, such related Subjects as fine art, comics, children's literature, folklore, religion, and philosophy enrich the discoveries. These interdisciplinary discussions range from theory to practice, within the framework of an ever-changing media landscape. Working on different continents and coming from varying cultural backgrounds, these diverse scholars, artists, curators, and educators demonstrate the insights of the spirited.Authors also size up new dimensions of mental health and related expressions of human living and interactions. While the book recognizes and acknowledges the particularities of the spirited across cultures, it also highlights its universality, demonstrating how it is being studied, researched, comprehended, expressed, and consumed in various parts of the world.

Contributions by Graham Barton, Raz Greenberg, Gyongyi Horvath, Birgitta Hosea, Tze-yue G. Hu, Yin Ker, M. Javad Khajavi, Richard J. Leskosky, Yuk Lan Ng, Giryung Park, Eileen Anastasia Reynolds, Akiko Sugawa-Shimada, Koji Yamamura, Masao Yokota, and Millie Young Getting in touch with a spiritual side is a craving many are unable to express or voice, but readers and viewers seek out this desired connection to something greater through animation, cinema, anime, and art. Animating the Spirited: Journeys and Transformations includes a range of explorations of the meanings of the spirited and spiritual in the diverse, dynamic, and polarized creative environment of the twenty-first century. While animation is at the heart of the book, such related Subjects as fine art, comics, children's literature, folklore, religion, and philosophy enrich the discoveries. These interdisciplinary discussions range from theory to practice, within the framework of an ever-changing media landscape. Working on different continents and coming from varying cultural backgrounds, these diverse scholars, artists, curators, and educators demonstrate the insights of the spirited.Authors also size up new dimensions of mental health and related expressions of human living and interactions. While the book recognizes and acknowledges the particularities of the spirited across cultures, it also highlights its universality, demonstrating how it is being studied, researched, comprehended, expressed, and consumed in various parts of the world.

Japanese Animation: East Asian Perspectives makes available for the first time to English readership a selection of viewpoints from media practitioners, designers, educators, and scholars working in the East Asian Pacific. This collection not only engages a multidisciplinary approach in understanding the subject of Japanese animation but also shows ways to research, teach, and more fully explore this multidimensional world.Presented in six sections, the translated essays cross-reference each other. The collection adopts a wide range of critical, historical, practical, and experimental approaches. This variety provides a creative and fascinating edge for both specialist and nonspecialist readers. Contributors' works share a common relevance, interest, and involvement despite their regional considerations and the different modes of analysis demonstrated. They form a composite of teaching and research ideas on Japanese animation.

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 IMUUses methodology that also relates to linguistics, psychology, ontology, geography, and cartographyExamines current trends in machine translation

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

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

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 IMUUses methodology that also relates to linguistics, psychology, ontology, geography, and cartographyExamines current trends in machine translation

Contributions by Graham Barton, Raz Greenberg, Gyongyi Horvath, Birgitta Hosea, Tze-yue G. Hu, Yin Ker, M. Javad Khajavi, Richard J. Leskosky, Yuk Lan Ng, Giryung Park, Eileen Anastasia Reynolds, Akiko Sugawa-Shimada, Koji Yamamura, Masao Yokota, and Millie Young Getting in touch with a spiritual side is a craving many are unable to express or voice, but readers and viewers seek out this desired connection to something greater through animation, cinema, anime, and art. Animating the Spirited: Journeys and Transformations includes a range of explorations of the meanings of the spirited and spiritual in the diverse, dynamic, and polarized creative environment of the twenty-first century. While animation is at the heart of the book, such related Subjects as fine art, comics, children's literature, folklore, religion, and philosophy enrich the discoveries. These interdisciplinary discussions range from theory to practice, within the framework of an ever-changing media landscape. Working on different continents and coming from varying cultural backgrounds, these diverse scholars, artists, curators, and educators demonstrate the insights of the spirited.Authors also size up new dimensions of mental health and related expressions of human living and interactions. While the book recognizes and acknowledges the particularities of the spirited across cultures, it also highlights its universality, demonstrating how it is being studied, researched, comprehended, expressed, and consumed in various parts of the world.

Contributions by Graham Barton, Raz Greenberg, Gyongyi Horvath, Birgitta Hosea, Tze-yue G. Hu, Yin Ker, M. Javad Khajavi, Richard J. Leskosky, Yuk Lan Ng, Giryung Park, Eileen Anastasia Reynolds, Akiko Sugawa-Shimada, Koji Yamamura, Masao Yokota, and Millie Young Getting in touch with a spiritual side is a craving many are unable to express or voice, but readers and viewers seek out this desired connection to something greater through animation, cinema, anime, and art. Animating the Spirited: Journeys and Transformations includes a range of explorations of the meanings of the spirited and spiritual in the diverse, dynamic, and polarized creative environment of the twenty-first century. While animation is at the heart of the book, such related Subjects as fine art, comics, children's literature, folklore, religion, and philosophy enrich the discoveries. These interdisciplinary discussions range from theory to practice, within the framework of an ever-changing media landscape. Working on different continents and coming from varying cultural backgrounds, these diverse scholars, artists, curators, and educators demonstrate the insights of the spirited.Authors also size up new dimensions of mental health and related expressions of human living and interactions. While the book recognizes and acknowledges the particularities of the spirited across cultures, it also highlights its universality, demonstrating how it is being studied, researched, comprehended, expressed, and consumed in various parts of the world.