Abstract
Summary: We propose the in vivo/vitro use of prokaryotic adaptive immune systems for distributed learning. In the coming years synthetic biologists will learn to control, program, and modify such systems. We design an enhancement to CRISPR-Cas immune systems and demonstrate the learning potential of the modified system by showing it can approximate solutions to a computationally hard problem. To our knowledge this is the first proposed use of CRISPR-Cas systems for computational purposes.
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© 2012 Springer-Verlag Berlin Heidelberg
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Murphy, N., Rodríguez-Patón, A. (2012). Distributed Computing with Prokaryotic Immune Systems. In: Coello Coello, C.A., Greensmith, J., Krasnogor, N., Liò, P., Nicosia, G., Pavone, M. (eds) Artificial Immune Systems. ICARIS 2012. Lecture Notes in Computer Science, vol 7597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33757-4_22
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DOI: https://doi.org/10.1007/978-3-642-33757-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33756-7
Online ISBN: 978-3-642-33757-4
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