DocumentCode :
3658649
Title :
Modeling and Simulating Adaptive Multi-agent Systems with CAMLE
Author :
Lijun Shan;Chenglie Du;Hong Zhu
Author_Institution :
Coll. of Comput. Sci., Northwestern Polytech. Univ., Xi´an, China
Volume :
2
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
147
Lastpage :
152
Abstract :
With the advent of embedded and mobile computing techniques, software systems are increasingly operated in open and dynamic environments. Such systems desire self-adaptive capabilities. This paper proposes an agent-oriented approach to the modeling and simulation of distributed adaptive systems. The approach enables to construct structural and behavioral models at a high abstraction level, and to validate the models at design stage through model simulation. The modeling language facilitates devising decentralized adaption logic at both component and system levels. Simulation demonstrates how a system dynamically re-organizes in response to the changes in the operating context. Case studies show that our approach can support various self-adaptation mechanisms with which a multi-agent system adjusts to internal failures, unexpected environment, or user´s changing requirements.
Keywords :
"Organizations","Adaptation models","Computational modeling","Robot kinematics","Team working","Adaptive systems"
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual
Electronic_ISBN :
0730-3157
Type :
conf
DOI :
10.1109/COMPSAC.2015.97
Filename :
7273612
Link To Document :
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