Autonomous and Adaptive Systems (TAAS)


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About TAAS

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.

Expected Contributions

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.

Non-Exhaustive List of Relevant Areas of Research

  • Self-organizing Computing Systems
  • Pervasive and Mobile Computing
  • Distributed Services and Systems
  • Social and Urban Computing Systems
  • Web and Participatory Systems
  • Cooperative Robotics
  • Applications for Autonomous and Adaptive Systems
  • Foundational models of autonomous and adaptive behaviors
  • Software Engineering Approaches and Methodologies
  • Complex adaptive systems and networks
  • Networking models and techniques for autonomous and adaptive systems
  • Nature-inspired techniques
  • Self-* properties
  • Adaptive algorithms
  • Data and Information Management
  • Operating systems and middleware for autonomous and adaptive systems
  • Context-awareness and Semantics
  • Social sensing and social analysis
  • Learning & Prediction
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