Self-aware Computing Systems: An Engineering Approach

P.R. Lewis, M. Platzner, B. Rinner, J. Tørresen, X. Yao, eds., Self-Aware Computing Systems: An Engineering Approach, Springer, Cham, 2016.

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Abstract
Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions. This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.
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Lewis PR, Platzner M, Rinner B, Tørresen J, Yao X, eds. Self-Aware Computing Systems: An Engineering Approach. Cham: Springer; 2016. doi:10.1007/978-3-319-39675-0
Lewis, P. R., Platzner, M., Rinner, B., Tørresen, J., & Yao, X. (Eds.). (2016). Self-aware Computing Systems: An Engineering Approach. Cham: Springer. https://doi.org/10.1007/978-3-319-39675-0
@book{Lewis_Platzner_Rinner_Tørresen_Yao_2016, place={Cham}, title={Self-aware Computing Systems: An Engineering Approach}, DOI={10.1007/978-3-319-39675-0}, publisher={Springer}, year={2016} }
Lewis, Peter R., Marco Platzner, Bernhard Rinner, Jim Tørresen, and Xin Yao, eds. Self-Aware Computing Systems: An Engineering Approach. Cham: Springer, 2016. https://doi.org/10.1007/978-3-319-39675-0.
P. R. Lewis, M. Platzner, B. Rinner, J. Tørresen, and X. Yao, Eds., Self-aware Computing Systems: An Engineering Approach. Cham: Springer, 2016.
Lewis, Peter R., et al., editors. Self-Aware Computing Systems: An Engineering Approach. Springer, 2016, doi:10.1007/978-3-319-39675-0.

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