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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Koerner, E. |
| Copyright Year | 2009 |
| Description | Author affiliation: Honda Research Institute Europe GmbH, Germany (Koerner, E.) |
| Abstract | Intelligence is a technology and a strategy for robust and flexible problem solving in complex environments (both natural and artificial) under the constraints of limited resources (e.g. time, energy). The need for intelligence becomes particularly visible when dealing with humanoid robots which are expected to behave like humans and which are in reality still much closer to their ancestors at the assembly line. Understanding essential principles of how the brain organizes behavior may enable us to provide our technical artifacts at least with some aspects of brain-like intelligence. Our approach is based on the assumption that the essence of computing in the brain does not lie in the local processing or learning algorithm but in the way the brain organizes processing. |
| Starting Page | 1647 |
| Ending Page | 1648 |
| File Size | 466472 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424435487 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2009.5179095 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent robots Biological neural networks Humanoid robots Neurons Computational modeling Artificial intelligence Robustness Large-scale systems Intelligent networks Image analysis |
| Content Type | Text |
| Resource Type | Article |
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