S09: Distributed Adaptive Systems

Paper Submission for S09

SMC2018:S09 submission site (external site)


Adaptability is a common and typical property for natural systems in the real world. It is also an important and desirable property for computer supported artificial distributed intelligent systems. A distributed adaptive system can be viewed as a set of interacting intelligent agents, real or abstract, forming an integrated system that is able to respond to internal and external changes. Feedback is a key feature of adaptive systems, enabling responses to changes. Artificial systems can be made adaptive using feedback to sense new conditions in the environment and adapt accordingly. Distributed adaptive systems can find applications in almost all industrial sectors, particularly in aerospace, automotive, and manufacturing.

The topics for the special session include the following but are not
limited to:

  • Fundamental issues of Adaptive Systems
  • Specifications of Adaptability
  • Principles of Adaptation
  • Adaptation Models
  • Natural Adaptation
  • Feedback Loop Design in Adaptive Systems
  • Design and Analysis of Adaptive Systems
  • Agent Adaptation
  • Robot Adaptation
  • Adaptive Human-Machine Systems
  • Adaptive Group Structures for Agents
  • Adaptive Operator Agent Interactions
  • Performance Evaluation of Adaptive Systems
  • Adaptive Multi-Agent Systems
  • Optimization of Adaptive Systems
  • Adaptive Services
  • Adaptive Wireless Sensor Networks
  • Adaptive Collaboration
  • Role-Based Collaboration
  • Role Mechanisms in Adaptive Systems
  • E-CARGO and its Applications in Adaptive Systems

Session Chairs