Abstract
Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is then experimentally investigated. A more interesting research question is how can robot be provided with an architecture that would enable it to developmentally ‘grow-up’ and accomplish complex tasks by building on basic built-in capabilities. Previous work by the authors defined the requirements of a robot architecture that would enable this to happen – in this paper, we describe how some components of such an architecture can be achieved using an immune network model, and present preliminary results that show the plausibility of the suggested approach.
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Hart, E., Ross, P., Webb, A., Lawson, A. (2003). A Role for Immunology in “Next Generation” Robot Controllers. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_5
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DOI: https://doi.org/10.1007/978-3-540-45192-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40766-9
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