An idiotypic immune network as a short-term learning architecture for mobile robots

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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...

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Bibliographic Details
Main Authors:	Whitbrook, Amanda, Aickelin, Uwe, Garibaldi, Jonathan M.
Other Authors:	Bentley, Peter
Format:	Book Section
Published:	Springer 2008
Online Access:	https://eprints.nottingham.ac.uk/997/

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