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What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy /

This volume is a guide to two types of transcendence of academic borders which seem necessary for understanding and modelling brain function. The first type is a technical transcendence needed to make intelligent machines such as a humanoid robot, an animal-like behaviour architecture, an interprete...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kitamura, Tadashi, 1947-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; River Edge, NJ : World Scientific, ©2001.
Colección:FLSI soft computing series ; v. 3.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a What should be computed to understand and model brain function? :  |b from robotics, soft computing, biology and neuroscience to cognitive philosophy /  |c editor, Tadashi Kitamura. 
260 |a Singapore ;  |a River Edge, NJ :  |b World Scientific,  |c ©2001. 
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490 1 |a FLSI soft computing series ;  |v v. 3 
504 |a Includes bibliographical references and index. 
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520 |a This volume is a guide to two types of transcendence of academic borders which seem necessary for understanding and modelling brain function. The first type is a technical transcendence needed to make intelligent machines such as a humanoid robot, an animal-like behaviour architecture, an interpreter of fiction, and an evolving learning machine. This technical erosion is conducted into areas such as biology, ethology, neuroscience and psychology, as well as robotics and soft computing. The second type of transcendence of cross-disciplinary boundaries cuts across scientific areas such as biology and cognitive science/philosophy, into comprehensive, less technical and more abstract aspects of brain function. These aspects enable us to know in what direction and how far an intelligent machine will go. 
505 0 |a Ch. 1. Consideration of emotion model and primitive language of robots / Tetsuya Ogata and Shigeki Sugano -- ch. 2. An architecture for animal-like behavior selection / Tadashi Kitamura -- ch. 3. A computational literary theory: the ultimate products of the brain/mind machine / Akifumi Tokosumi -- ch. 4. Cooperation between neural networks within the brain / Michel Dufosse, Author Kaladjian, and Halim Djennane -- ch. 5. Brain-like functions in evolving connectionist systems for on-line, knowledge-based learning / Nikola Kasabov -- ch. 6. Interrelationships, communication, semiotics, and artificial consciousness / Horia-Nicolai L. Teodorescu -- ch. 7. Time emerges from incomplete clock, based on internal measurement / Yukio-Pegio Gunji, Hideki Higashi, and Yasuhiro Takachi -- ch. 8. The logical jump in shell changing in hermit crab and tool experiment in the ants / Nobuhide Kitabayashi, Yoshiyuki Kusunoki, and Yukio-Pegio Gunji -- ch. 9. The neurobiology of semantics: how can machines be designed to have meanings? / Walter J. Freeman -- ch. 10. The emergence of contentful experience / Mark H. Bickhard -- ch. 11. Intentionality and foundations of logic: a new approach to neurocomputation / Gianfranco Basti. 
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650 0 |a Artificial intelligence. 
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650 0 |a Brain  |x Mathematical models. 
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650 2 |a Neural Networks, Computer 
650 6 |a Informatique douce. 
650 6 |a Intelligence artificielle. 
650 6 |a Réseaux neuronaux (Informatique) 
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700 1 |a Kitamura, Tadashi,  |d 1947-  |1 https://id.oclc.org/worldcat/entity/E39PCjHYgVybK3bTQrhFwmTx9P 
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