Introduction to the Special Section on Self-Adaptive Systems: Models and Algorithms

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Authors: Bouchachia, A. and Nedjah, N.

Journal: TAAS

Volume: 7

Pages: 13

DOI: 10.1145/2168260.2168273

This source preferred by Hamid Bouchachia

This data was imported from Scopus:

Authors: Bouchachia, A. and Nedjah, N.

Journal: ACM Transactions on Autonomous and Adaptive Systems

Volume: 7

Issue: 1

eISSN: 1556-4703

ISSN: 1556-4665

DOI: 10.1145/2168260.2168273

Self-adaptation embraces two major concepts which are adaptivity on one hand and autonomy on the other hand. The former reflects the ability of the system to regulate its own behavior in response to the surrounding environment, that is the ability to maintain or grow the fit given particular environmental conditions. The versatile concept of self-adaptation has been discussed in many domains and disciplines such as multiagents technology in the context of artificial intelligence, autonomic computing and organic computing in system and software engineering, pervasive and ubiquitous computing, autonomous robotics, control, data mining, and machine learning. Adaptation is typically regarded as an ongoing process and is therefore usually depicted as a cycle known as the control loop. This cyclic process contains three phases: collecting, analyzing, deciding and acting.

This data was imported from Web of Science (Lite):

Authors: Bouchachia, A. and Nedjah, N.

Journal: ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS

Volume: 7

Issue: 1

ISSN: 1556-4665

DOI: 10.1145/2168260.2168273

The data on this page was last updated at 04:42 on September 24, 2017.