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 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 Systems, Specifications of Adaptability, Principles of Adaptation, Adaptation Models, Natural Adaptation, Feedback Loop Design in Adaptive Systems, Analysis of Adaptive Systems, Design of Adaptive Systems, Agent Adaptation, Robot Adaptation, Adaptive Human-Machine Systems, Adaptive Group Structures for Agents, Adaptive Operator Agent Interactions, Performance of Adaptive Systems, Assessment/Evaluation of Adaptability, 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.
10月09日
2016
10月12日
2016
初稿截稿日期
终稿截稿日期
注册截止日期
留言