Bruno (Hrsg.) Apolloni
From Synapses to Rules
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
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 net…
Mehr
Beschreibung
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.
CHF 165.50
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
V210:
Noch nicht erschienen, Januar 2022
Produktdetails
Weitere Autoren: Kurfess, Franz (Hrsg.)
- ISBN: 978-1-4615-0705-5
- EAN: 9781461507055
- Produktnummer: 38247766
- Verlag: Springer US
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 388 S.
- Plattform: PDF
- Auflage: 2002
18 weitere Werke von Bruno (Hrsg.) Apolloni:
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
CHF 93.50
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
CHF 189.00
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
CHF 246.50
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
CHF 213.00
Discovering Symbolic Rules from Neural Processed Data
Ebook (PDF Format)
CHF 166.50
Bewertungen
0 von 0 Bewertungen
Anmelden
Keine Bewertungen gefunden. Seien Sie der Erste und teilen Sie Ihre Erkenntnisse mit anderen.