Theoretical Computer Science
Modeling Context Information in Pervasive Computing Systems
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Programming mobile intelligent agents: An operational semantics
Web Intelligence and Agent Systems
Ambient Intelligence—the Next Step for Artificial Intelligence
IEEE Intelligent Systems
Developing context-aware pervasive computing applications: Models and approach
Pervasive and Mobile Computing
A Context-Aware Multi-Agent System as a Middleware for Ambient Intelligence
Mobile Networks and Applications
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In this paper we present mobile Multi-Agent Systems (MAS) as a specific paradigm to design intelligent and distributed applications in the context of Ambient Intelligence (AmI). We discuss how mobility, coupled with MAS, can be useful to meet the requirements of AmI. Indeed, the main features of mobile MAS, such as natural distribution of the system, inherent intelligence of the agents, and their mobility help to address a large scope of distributed applications in the domain of AmI. Other features of MAS, like multi-agent planning, context-awareness and self-adaptation are also very useful to bring an added value to AmI applications. They allow the implementation of both intelligent and collaborative agent behavior. This paper presents the Ao Dai project, that employs the mobile MAS paradigm, and serves as a prototype AmI environment. We also illustrate the functioning of the application through a scenario of user guidance in a smart environment.