Abstract
Pervasive Adaptation (PerAda) refers to massive-scale pervasive information and communication systems which are capable of autonomously adapting to highly dynamic and open technological and user contexts. PerAda systems are thus a special case of collective adaptive systems which have particular constraints e.g. they are networked and highly distributed; they involve interaction with humans; they are large scale; the boundaries of systems are fluid; their context is dynamic; and they operate using uncertain information. In order to achieve their ultimate goal of adapting seamlessly to their users and to deliver the expected quality of service at all times, we propose that these systems must exhibit self-awareness. This position statement proposes mechanisms by which self-awareness might be achieved.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Callard, R., Stark, J.: Networks of the Immune System. In: Biological Networks. World Scientific Publishing, Singapore (2007)
Cohen, I.: Immune system computation and the immunological homunculus. In: Model Driven Engineering Languages and Systems, pp. 499–512. Springer, Heidelberg (2006)
Cohen, I.: Real and artificial immune systems; computing the state of the body. Nature Reviews Immunology (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hart, E., Paechter, B. (2010). Towards Self-aware PerAda Systems. In: Hart, E., McEwan, C., Timmis, J., Hone, A. (eds) Artificial Immune Systems. ICARIS 2010. Lecture Notes in Computer Science, vol 6209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14547-6_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-14547-6_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14546-9
Online ISBN: 978-3-642-14547-6
eBook Packages: Computer ScienceComputer Science (R0)