Abstract
The paper presents a computer experiment inspired by the immune metaphor and based on the work of Farmer, Packard, and Perelson [FPP86]. We develop a model influenced by the way the immune system works that is well-suited to address a particular class of NP-hard problems. We discuss the results obtained when applying the model to an artificial vision problem denoted the museum problem, where artificial agents successfully accomplish a surveillance assignment to protect the pieces of an art exhibition from bad behaved visitors.
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Martins, F., Slani, N. (2005). Computing with Idiotypic Networks. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_80
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DOI: https://doi.org/10.1007/3-540-32392-9_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
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