I-Cog: A computational framework for integrated cognition of higher cognitive abilities
Autor(en): | Kühnberger, K.-U. Wandmacher, T. Schwering, A. Ovchinnikova, E. Krumnack, U. Gust, H. Geibel, P. |
Stichwörter: | Computational methods; Data reduction; Knowledge based systems, Analogical reasoning; Inconsistent data; Neurosymbolic interfaces, Artificial intelligence | Erscheinungsdatum: | 2007 | Herausgeber: | Springer Verlag | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 4827 LNAI | Startseite: | 203 | Seitenende: | 214 | Zusammenfassung: | 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). © Springer-Verlag Berlin Heidelberg 2007. |
Beschreibung: | Conference of 6th Mexican International Conference on Artificial Intelligence, MICAI 2007 ; Conference Date: 4 November 2007 Through 10 November 2007; Conference Code:71204 |
ISBN: | 9783540766308 | ISSN: | 03029743 | DOI: | 10.1007/978-3-540-76631-5_20 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-38149113932&doi=10.1007%2f978-3-540-76631-5_20&partnerID=40&md5=88c95dbfb10c89db2dfdabed72ab445f |
Zur Langanzeige
Seitenaufrufe
3
Letzte Woche
0
0
Letzter Monat
1
1
geprüft am 01.06.2024