A role for immunology in 'next generation' robots.

Hart, Emma; Ross, Peter; Webb, Andrew; Lawson, Alistair

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 experimentally investigated. A more interesting research question is how can a robot be provided with an architecture that would enable it to developmentally 'grow-up' and accomplish tasks by building on basic built-in capabilities. Previous work by the auhtors 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 we present preliminary results that show the plausibility of the suggested approach.

• Conference Name: Second International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003, Proceedings: volume 2787 of Lecture Notes on Computer Science: Artificial Immune Systems, Editors: Timmis, J., Bentley, P. and Hart, E., Springer, ISBN: 978-3-540-40766-9
• Start Date: Sep 1, 2003
• End Date: Sep 3, 2003
• Publication Date: Nov 4, 2003
• Deposit Date: Jun 9, 2008
• Peer Reviewed: Peer Reviewed
• Pages: 46-56
• Book Title: Artificial Immune Systems. ICARIS 2003
• ISBN: 978-3-540-40766-9
• DOI: https://doi.org/10.1007/978-3-540-45192-1_5
• Keywords: Computer programming; Artificial intelligence; Immune network model; Computer architecture; Learning process
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/1758