ACM Transactions on Autonomous and Adaptive Systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects related to all those complex ICT systems that have to serve - in autonomy and with capabilities of autonomous adaptation - in highly dynamic socio-technico-physical environments.
Many current Information and Communications Technology (ICT) systems and infrastructure, such as the Web, Clouds, Grids and Enterprise Datacenters, Peer-to-Peer Systems, Social and Urban Computing Systems, Cooperative Robotic Systems, Distributed Service Systems, and Wireless and Mobile Computing Systems, have the characteristic of being decentralized, pervasive, and composed of a large number of autonomous entities. Often systems deployed on such infrastructure need to run in highly dynamic environments, where physical context, social context, network topologies and workloads are continuously changing. As a consequence, autonomic and adaptive behaviors become necessary aspects of such systems.
TAAS addresses research on autonomous and adaptive systems being undertaken by an increasingly interdisciplinary research community - and provide a common platform under which this work can be published and disseminated. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems and of their behaviors. Contributions are expected to be based on sound and innovative theoretical models, algorithms, engineering and programming techniques, infrastructures and systems, or technological and application experiences.
The most recent complete issue of ACM TAAS, 9(4) comprises five (5) regular articles.
The next issue, 10(1) currently issue-in-progress, will include regular articles and will be appearing incrementally in the Digital Library.
Articles that have been accepted for a later issue are listed on the page Upcoming Articles.
The most complete overview of citations of published TAAS articles can be found on the following Google Scholar page:
Here is an overview of the main ACM TAAS statistics:
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