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|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.
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|a Singapore ;
|a River Edge, NJ :
|b World Scientific,
|c ©2001.
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|a 1 online resource (xii, 309 pages) :
|b illustrations
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|a text
|b txt
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|a FLSI soft computing series ;
|v v. 3
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|a Includes bibliographical references and index.
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|a Print version record.
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|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.
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|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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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Soft computing.
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|a Artificial intelligence.
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650 |
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|a Neural networks (Computer science)
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|a Brain
|x Mathematical models.
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|a Artificial Intelligence
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|a Neural Networks, Computer
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650 |
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|a Informatique douce.
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|a Intelligence artificielle.
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650 |
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|a Réseaux neuronaux (Informatique)
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650 |
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|a Cerveau
|x Modèles mathématiques.
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|2 aat
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|a Brain
|x Mathematical models
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1 |
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|a Kitamura, Tadashi,
|d 1947-
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|i Print version:
|t What should be computed to understand and model brain function?.
|d Singapore ; River Edge, NJ : World Scientific, ©2001
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|z 9789810245184
|w (DLC) 2001270901
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|a FLSI soft computing series ;
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