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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Modeling Context-Awareness in Agents for Ambient Intelligence: An Aspect-Oriented Approach
verfasst von : Inmaculada Ayala, Mercedes Amor Pinilla, Lidia Fuentes
Erschienen in: Progress in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Ambient Intelligence (AmI) systems are inherently context aware, since they should be able to react to, adapt to and even anticipate user actions or events occurring in the environment in a manner consistent with the current context. Software agents and especially the BDI architecture are considered to be a promising approach to deal with AmI systems development. However current agent models do not offer a proper support for developing AmI systems because they do not offer support to model explicitly the interaction between the agent, context sources and effectors, and the context-awareness features are scattered in the system model. To solve these problems we propose an aspect-oriented agent metamodel for AmI systems, which encourages modularity in the description of context-aware features in AmI systems. This metamodel achieves better results than other metamodels in separation of concerns, size, coupling and cohesion.