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Can I read Software Engineering for Collective Autonomic Systems: The ASCENS Approach (Lecture Notes in Computer Science, 8998) on EtoBox?

Software Engineering for Collective Autonomic Systems: The ASCENS Approach (Lecture Notes in Computer Science, 8998) by Martin Wirsing, Matthias Hölzl, Nora Koch, and Philip Mayer (eds.) is a nonfiction available to read on EtoBox.

What is Software Engineering for Collective Autonomic Systems: The ASCENS Approach (Lecture Notes in Computer Science, 8998) about?

A collective autonomic system consists of collaborating autonomic entities which are able to adapt at runtime, adjusting to the state of the environment and incorporating new knowledge into their behavior. These highly dynamic systems are also known as ensembles. To ensure correct behavior of ensembles it is necessary to support their development through appropriate methods and tools which can guarantee that an autonomic system lives up to its intended purpose; this includes respecting important constraints of the environment. This State-of-the-Art Survey addresses the engineering of such systems by presenting the methods, tools and theories developed within the ASCENS project. ASCENS was an integrated project funded in the period 2010-2015 by the 7th Framework Programme (FP7) of the European Commission as part of the Future Emerging Technologies Proactive Initiative (FET Proactive). The 17 contributions included in this book are organized in four parts corresponding to the research areas of the project and their concrete applications: (I) language and verification for self-awareness and self-expression, (II) modeling and theory of self-aware and adaptive systems, (III) engineering

Who reads Software Engineering for Collective Autonomic Systems: The ASCENS Approach (Lecture Notes in Computer Science, 8998)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Martin Wirsing, Matthias Hölzl, Nora Koch, and Philip Mayer (eds.)
Publisher
Springer International Publishing : Imprint: Springer
Published
2015
Language
EN
ISBN
9783319163093
Category
nonfiction
Subjects
Engineering, Mathematics, Language Learning

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