An idiotypic immune network as a short-term learning architecture for mobile robots
A combined Short-Term Learning (STL) and Long-Term Learning (LTL) approach to solving mobile robot navigation problems is presented and tested in both real and simulated environments. The LTL consists of rapid simulations that use a Genetic Algorithm to derive diverse sets of behaviours. These sets...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
Springer
2008
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| Online Access: | https://eprints.nottingham.ac.uk/997/ |