Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Extending Graphplan to handle uncertainty and sensing actions
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
A pervasive computing system for the operating room of the future
Mobile Networks and Applications
Exploiting web service techniques for composing simulation models
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A critical assessment of benchmark comparison in planning
Journal of Artificial Intelligence Research
Fast planning through planning graph analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A software architecture for virtual device composition and its applications
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
What planner for ambient intelligence applications?
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Modeling and simulation for user assistance in smart environments
Proceedings of the Winter Simulation Conference
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Smart environments are characterized by dynamic ensembles of devices that offer individual services to the user in an unobtrusive manner. For more advanced services often the cooperation of devices is required which can be accomplished by composition of services. To keep the composition process as unobtrusive as possible it must be fast and ressource saving. AI planning is one possibility to realize service composition. Four different planners have been evaluated referring to execution time. The evaluation has been based on an abstract simulation model that reflects some key characteristics of services in smart environments, e.g. number of services and distribution of pre- and postconditions of these services. The evaluation results showed that planners like UCPOP, SGP, and particularly blackbox, are suitable for composing services in time in a typical smart environment. However, their run time behavior is irregular and additionally differ with respect to how fast they recognize that no plan exist. These cases require specific strategies to avoid unnecessary resource consumption.