DocumentCode
330281
Title
The integration of connectionist models with knowledge-based systems: hybrid systems
Author
Ultsch, A.
Author_Institution
Dept. of Neuroinf., Philipps-Univ., Marburg, Germany
Volume
2
fYear
1998
fDate
11-14 Oct 1998
Firstpage
1530
Abstract
The main difference between connectionist models and technologies of symbolic artificial intelligence is the form in which knowledge is represented i.e. symbolic vs. subsymbolic methods are used to represent knowledge. The paper clarifies and emphasizes this paradigmatic difference, in particular with respect to the so called hybrid systems. The terms symbolic and subsymbolic knowledge representation are specified. Furthermore, the central constituents of a subsymbolic representation are named. Necessary requirements for connectionist models are clarified. As hybrid systems in a strict sense those systems are identified that realize a conversion between subsymbolic and symbolic knowledge
Keywords
inference mechanisms; knowledge based systems; knowledge representation; neural nets; connectionist models; hybrid systems; knowledge-based systems; subsymbolic methods; symbolic artificial intelligence; symbolic methods; Artificial intelligence; Computer errors; Dictionaries; Knowledge based systems; Knowledge representation; Neurons; Numerical models; Power system modeling; Robustness; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.728103
Filename
728103
Link To Document