Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
From International Center for Computational Logic
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
Steffen HölldoblerSteffen Hölldobler, Yvonne KalinkeYvonne Kalinke, Hans-Peter StörrHans-Peter Störr
Steffen Hölldobler, Yvonne Kalinke, Hans-Peter Störr
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
In J. Slaney G. Antoniou, eds., Advanced Topics in Artificial Intelligence - 11th Australian Joint Conference on Artifiial Intelligence (AI'98), volume 1502 of LNAI, 167-178, 1998. Springer
Recurrent Neural Networks to Approximate the Semantics of Acceptable Logic Programs
In J. Slaney G. Antoniou, eds., Advanced Topics in Artificial Intelligence - 11th Australian Joint Conference on Artifiial Intelligence (AI'98), volume 1502 of LNAI, 167-178, 1998. Springer
- Forschungsgruppe:Research Group: WissensverarbeitungKnowledge Representation and Reasoning
@inproceedings{HKS1998,
author = {Steffen H{\"{o}}lldobler and Yvonne Kalinke and Hans-Peter
St{\"{o}}rr},
title = {Recurrent Neural Networks to Approximate the Semantics of
Acceptable Logic Programs},
editor = {J. Slaney G. Antoniou},
booktitle = {Advanced Topics in Artificial Intelligence - 11th Australian
Joint Conference on Artifiial Intelligence (AI'98)},
series = {LNAI},
volume = {1502},
publisher = {Springer},
year = {1998},
pages = {167-178}
}