Name
Abstract | ||
|---|---|---|
Human-level reasoning is manifold and comprises a wide variety of different reasoning mechanisms. So far, artificial intelligence has focused mainly on using the classical approaches deduction, induction, and abduction to enable machines with reasoning capabilities. However, the approaches are limited and do not reflect the mental, cognitive process of human reasoning very well. We contend that analogical reasoning is the driving force behind human thinking and therefore propose analogy as an integrating framework for the variety of human-level reasoning mechanisms. |
Year | Venue | Keywords |
|---|---|---|
2008 | AGI | artificial intelligence,wide variety,human reasoning,integrating framework,classical approaches deduction,reasoning capability,human thinking,human-level reasoning,human-level reasoning mechanism,analogical reasoning,different reasoning mechanism,cognitive model,cognitive process,knowledge base,cognitive ability,analogy,artificial intelligent |
Field | DocType | Volume |
Knowledge representation and reasoning,Computer science,Psychology of reasoning,Adaptive reasoning,Model-based reasoning,Artificial intelligence,Opportunistic reasoning,Reasoning system,Verbal reasoning,Machine learning,Qualitative reasoning | Conference | 171 |
ISSN | Citations | PageRank |
0922-6389 | 3 | 0.43 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angela Schwering | 1 | 319 | 31.11 |
| Ulf Krumnack | 2 | 87 | 13.03 |
| Kai-uwe Kühnberger | 3 | 211 | 28.67 |
| Helmar Gust | 4 | 143 | 22.86 |