SS1:Adaptive Collaboration Systems         

·   Organizers

Haibin Zhu, Nipissing University, Ontario, Canada - haibinz@nipissingu.ca

·   Description/Abstract

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. Adaptive collaboration 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 environmental changes. Feedback is a key feature of adaptive systems, enabling the response 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 Collaboration Systems
• Specifications of Adaptability in Collaboration
• Principles of Adaptation, Adaptation Models
• Analysis of Adaptive Systems, Design of Adaptive Systems
• Adaptive Team Structures for Agents, Performance of Adaptive Collaboration Systems
• Assessment/Evaluation of Adaptability
• Agent Evaluation in Collaboration
• Agent/Role Assignment
• Adaptive Multi-Agent Systems
• Optimization of Adaptive Collaboration Systems
• Adaptive Services
• Decision Making in Collaboration Systems
• Adaptive Wireless Sensor Networks
• Adaptive Robot Teams
• Role-Based Collaboration
• Role Mechanisms in Adaptive Systems
• E-CARGO and its Applications in Adaptive Collaboration Systems