What Should Be Computed To Understand And Model Brain Function?: From Robotics, Soft Computing, Biology And Neuroscience To Cognitive Philosophy
Will be published approx. on 1. March 2001
Book
Hardback
324 pages
978-981-02-4518-4 (ISBN)
Description
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 technical transcendence needed to make intelligent machines such as a humanoid robot, an animal-like behavior 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.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
ISBN-13
978-981-02-4518-4 (9789810245184)
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Schweitzer Classification
Person
Content
Consideration of emotion model and primitive language of robots, T. Ogata and S. Sugano; an architecture for animal-like behaviour selection, T. Kitamura; a computation literary theory -the ultimate products of the brain/mind machine, A. Tokosumi; cooperation between neural networks within the brain, M. Dufosse et al; brain-like functions in evolving connectionist systems for on-line, knowledge-based learning, N. Kasabov; interrelationships, communication, semiotics and artificial consciousness, H.-N.L. Teodorescu; time emerges from incomplete clock, based on internal measurement, Y.-P. Gunji et al; the logical jump in shell changing in hermit crab and tool experiment in ants, M. Kitabayashi et al; the neurobiology of semantics - how can machines be designed to have meanings, W.J. Freeman; the emergence of contentful experience, M.H. Bickhard; intentionality and foundations of logic - a new approach to neurocomputation, G. Basti.