I-Cog: A Computational . . . (2007)
| Venue: | ABILITIES, PROCEEDINGS OF 6TH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, LNAI 4827 |
BibTeX
@INPROCEEDINGS{Kühnberger07i-cog:a,
author = {Kai-Uwe Kühnberger and Tonio Wandmacher and Angela Schwering and Ekaterina Ovchinnikova and Ulf Krumnack and Helmar Gust and Peter Geibel},
title = {I-Cog: A Computational . . . },
booktitle = {ABILITIES, PROCEEDINGS OF 6TH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, LNAI 4827},
year = {2007},
pages = {203--214},
publisher = {Springer}
}
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Abstract
There are several challenges for AI models of higher cognitive abilities like the profusion of knowledge, different forms of reasoning, the gap between neuro-inspired approaches and conceptual representations, the problem of inconsistent data, and the manifold of computational paradigms. The I-Cog architecture – proposed as a step towards a solution for these problems – consists of a reasoning device based on analogical reasoning, a rewriting mechanism operating on the knowledge base, and a neuro-symbolic interface for robust learning from noisy data. I-Cog is intended as a framework for human-level intelligence (HLI).
