Electronic Resource
Springer
AI & society
3 (1989), S. 345-356
ISSN:
1435-5655
Keywords:
Artificial intelligence
;
Symbolic systems
;
Neural networks
;
Expert systems
;
Logic
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract The introduction of massive parallelism and the renewed interest in neural networks gives a new need to evaluate the relationship of symbolic processing and artificial intelligence. The physical symbol hypothesis has encountered many difficulties coping with human concepts and common sense. Expert systems are showing more promise for the early stages of learning than for real expertise. There is a need to evaluate more fully the inherent limitations of symbol systems and the potential for programming compared with training. This can give more realistic goals for symbolic systems, particularly those based on logical foundations.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01908625
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