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Neural-Symbolic Integration / Neuro-Symbolische Integration

In this thesis, we discuss different techniques to bridge the gap between two different approaches to artificial intelligence: the symbolic and the connectionist paradigm. Both approaches have quite contrasting advantages and disadvantages. Research in the area of neural-symbolic integration aims at bridging the gap between them.
Starting from a human readable logic program, we construct connectionist systems, which behave equivalently. Afterwards, those systems can be trained, and later the refined knowledge be extracted.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-25468
Date15 December 2009
CreatorsBader, Sebastian
ContributorsTechnische Universität Dresden, Fakultät Informatik, Prof. Dr. rer. nat. habil Steffen Hölldobler, Prof. Dr. rer. nat. habil Barbara Hammer, Prof. Dr. rer. nat. habil Steffen Hölldobler
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:doctoralThesis
Formatapplication/pdf, application/pdf, application/zip

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