Name
Title | ||
|---|---|---|
I-Cog: a computational framework for integrated cognition of higher cognitive abilities |
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). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76631-5_20 | MICAI |
Keywords | Field | DocType |
computational paradigm,computational framework,noisy data,analogical reasoning,ai model,i-cog architecture,integrated cognition,higher cognitive ability,reasoning device,knowledge base,inconsistent data,different form,conceptual representation,cognitive ability | Inductive logic programming,Computer science,Model-based reasoning,Description logic,Artificial intelligence,Rewriting,Knowledge base,Cognition,Reasoning system,Verbal reasoning,Machine learning | Conference |
Volume | ISSN | ISBN |
4827 | 0302-9743 | 3-540-76630-8 |
Citations | PageRank | References |
2 | 0.42 | 14 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-uwe Kühnberger | 1 | 211 | 28.67 |
| Tonio Wandmacher | 2 | 89 | 10.87 |
| Angela Schwering | 3 | 319 | 31.11 |
| Ekaterina Ovchinnikova | 4 | 58 | 6.56 |
| Ulf Krumnack | 5 | 87 | 13.03 |
| Helmar Gust | 6 | 143 | 22.86 |
| Peter Geibel | 7 | 286 | 26.62 |