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Perspectives of Neural-symbolic Integration
. Ed(S): Hammer, Barbara; Hitzler, Pascal
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Description for Perspectives of Neural-symbolic Integration
Hardback. The human brain possesses the remarkable capability of understanding, interpreting, and producing language, structures, and logic. This work contains contributions in neural-symbolic integration, covering 'loose' coupling by means of structure kernels or recursive models as well as 'strong' coupling of logic and neural networks. Editor(s): Hammer, Barbara; Hitzler, Pascal. Series: Studies in Computational Intelligence. Num Pages: 319 pages, 26 black & white tables, biography. BIC Classification: TBC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 1430.
The human brain possesses the remarkable capability of understanding, - terpreting, and producing human language, thereby relying mostly on the left hemisphere. The ability to acquire language is innate as can be seen from d- orders such as speci?c language impairment (SLI), which manifests itself in a missing sense for grammaticality. Language exhibits strong compositionality and structure. Hence biological neural networks are naturally connected to processing and generation of high-level symbolic structures. Unlike their biological counterparts, arti?cial neural networks and logic do not form such a close liason. Symbolic inference mechanisms and statistical machine learning constitute two major and very ... Read more
The human brain possesses the remarkable capability of understanding, - terpreting, and producing human language, thereby relying mostly on the left hemisphere. The ability to acquire language is innate as can be seen from d- orders such as speci?c language impairment (SLI), which manifests itself in a missing sense for grammaticality. Language exhibits strong compositionality and structure. Hence biological neural networks are naturally connected to processing and generation of high-level symbolic structures. Unlike their biological counterparts, arti?cial neural networks and logic do not form such a close liason. Symbolic inference mechanisms and statistical machine learning constitute two major and very ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
319
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
319
Place of Publication
Berlin, Germany
ISBN
9783540739531
SKU
V9783540739531
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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