A guide to completeness and complexity for modal logics of knowledge and belief
Artificial Intelligence
The computer for the 21st century
Human-computer interaction
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
Aura: an Architectural Framework for User Mobility in Ubiquitous Computing Environments
WICSA 3 Proceedings of the IFIP 17th World Computer Congress - TC2 Stream / 3rd IEEE/IFIP Conference on Software Architecture: System Design, Development and Maintenance
STEAM: Event-Based Middleware for Wireless Ad Hoc Network
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Reflective Middleware Solutions for Context-Aware Applications
REFLECTION '01 Proceedings of the Third International Conference on Metalevel Architectures and Separation of Crosscutting Concerns
LIME: A Middleware for Physical and Logical Mobility
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Developing Ambient Intelligence Systems: A Solution based on Web Services
Automated Software Engineering
Service-Oriented Architecture: Concepts, Technology, and Design
Service-Oriented Architecture: Concepts, Technology, and Design
REDS: a reconfigurable dispatching system
Proceedings of the 6th international workshop on Software engineering and middleware
BDI agent programming in agentspeak using Jason
CLIMA'05 Proceedings of the 6th international conference on Computational Logic in Multi-Agent Systems
BOnSAI: a smart building ontology for ambient intelligence
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
A survey of service composition in ambient intelligence environments
Artificial Intelligence Review
Hi-index | 0.00 |
Systems for Ambient Intelligence environments involve at some stage a service composition task, as a mean of adaptability to the context changes. However, users generally find themselves involved in the composition task, by selecting or deciding what to compose and how. This paper proposes the use of Artificial Intelligent Agents for the automation of the composition task, providing transparency from the user point of view.