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From Synapses to Rules - Discovering Symbolic Rules from Neural Processed Data (Paperback, Softcover reprint of the original 1st ed. 2002) Loot Price: R4,072
Discovery Miles 40 720
From Synapses to Rules - Discovering Symbolic Rules from Neural Processed Data (Paperback, Softcover reprint of the original...

From Synapses to Rules - Discovering Symbolic Rules from Neural Processed Data (Paperback, Softcover reprint of the original 1st ed. 2002)

Bruno Apolloni, Franz Kurfess

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Loot Price R4,072 Discovery Miles 40 720 | Repayment Terms: R382 pm x 12*

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One high-level ability of the human brain is to understand what it has learned. This seems to be the crucial advantage in comparison to the brain activity of other primates. At present we are technologically almost ready to artificially reproduce human brain tissue, but we still do not fully understand the information processing and the related biological mechanisms underlying this ability. Thus an electronic clone of the human brain is still far from being realizable. At the same time, around twenty years after the revival of the connectionist paradigm, we are not yet satisfied with the typical subsymbolic attitude of devices like neural networks: we can make them learn to solve even difficult problems, but without a clear explanation of why a solution works. Indeed, to widely use these devices in a reliable and non elementary way we need formal and understandable expressions of the learnt functions. of being tested, manipulated and composed with These must be susceptible other similar expressions to build more structured functions as a solution of complex problems via the usual deductive methods of the Artificial Intelligence. Many effort have been steered in this directions in the last years, constructing artificial hybrid systems where a cooperation between the sub symbolic processing of the neural networks merges in various modes with symbolic algorithms. In parallel, neurobiology research keeps on supplying more and more detailed explanations of the low-level phenomena responsible for mental processes.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: March 2013
First published: 2002
Editors: Bruno Apolloni • Franz Kurfess
Dimensions: 254 x 178 x 21mm (L x W x T)
Format: Paperback
Pages: 388
Edition: Softcover reprint of the original 1st ed. 2002
ISBN-13: 978-1-4613-5204-4
Categories: Books > Science & Mathematics > Mathematics > Mathematical foundations > General
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-4613-5204-5
Barcode: 9781461352044

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