Connectionist symbol processing /
The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the abilit...
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge, Mass. :
MIT Press,
1991.
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| Edition: | 1st MIT Press ed. |
| Series: | Special issues of Artificial intelligence, an international journal
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The six contributions in Connectionist Symbol Processing address the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. The authors seek to extend the representational power of connectionist networks without abandoning the automatic learning that makes these networks interesting.Aware of the huge gap that needs to be bridged, the authors intend their contributions to be viewed as exploratory steps in the direction of greater representational power for neural networks. If successful, this research could make it possible to combine robust general purpose learning procedures and inherent representations of artificial intelligence -- a synthesis that could lead to new insights into both representation and learning. |
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| Item Description: | "A Bradford book." "Reprinted from Artificial intelligence, an international journal, volume 46, numbers 1-2, 1990"--Title page verso. |
| Physical Description: | 1 online resource (262 pages) : illustrations. |
| ISBN: | 0262256363 9780262256360 |
| DOI: | 10.7551/mitpress/2102.001.0001 |