Artificial animals for computer animation : biomechanics, locomotion, perception, and behavior

After nearly half a century of research, the Holy Grail of the ?eld of art- cial intelligence (AI) remains a comprehensive computational model capable of emulating the marvelous abilities of animals, including locomotion, p- ception, behavior, manipulation, learning, and cognition. The comprehensive...

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Bibliografski detalji
Glavni autor: Tu, Xiaoyuan, 19..-
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serija:Lecture notes in computer science 1635
Teme:
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Bilješka: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Artificial animals for computer animation, biomechanics, locomotion, perception, and behavior, Xiaoyuan Tu, New York, Springer, 1999, 1vol. (XIV-172 p.), Lecture notes in computer science, 3-540-66939-6
• Artificial Animals for Computer Animation, Texte imprimé, 9783662165683
Opis
Sažetak:After nearly half a century of research, the Holy Grail of the ?eld of art- cial intelligence (AI) remains a comprehensive computational model capable of emulating the marvelous abilities of animals, including locomotion, p- ception, behavior, manipulation, learning, and cognition. The comprehensive modeling of higher animals humans and other primates remains elusive; However, the research documented in this monograph achieves nothing less than a functional computer model of certain species of lower animals that are by no means trivial in their complexity. Reported herein is the 1996 ACM Doctoral Dissertation Award winning work of Xiaoyuan Tu, which she carried out in the Department of Computer Science at the University of Toronto. Tu presents arti?cial ?shes , a rema- able computational model of familiar marine animals in their natural habitat. Originally conceived in the context of computer graphics, Tu s is to date the only PhD dissertation from this major sub?eld of computer science (and the only thesis from a Canadian university) to win the coveted ACM award.
Opis djela:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540465935 (PDF)
ISSN:1611-3349
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017