Agents that reduce work and information overload
Communications of the ACM
Experience with a learning personal assistant
Communications of the ACM
Concept features in Re:Agent, an intelligent Email agent
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Learning Dynamic Bayesian Networks
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
An Adaptive User Interface Based On Personalized Learning
IEEE Intelligent Systems
Social network fragments: an interactive tool for exploring digital social connections
ACM SIGGRAPH 2003 Sketches & Applications
Design iterations for a location-aware event planner
Personal and Ubiquitous Computing
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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As technology improves, mobile phones are becoming essential aspects of human communication. As more and more people begin to use mobile phones, various services based on mobile phone networks and high-end devices are developing. In addition, with the growth of ubiquitous computing, there have been many ongoing studies regarding novel and useful services inside smartphones. In order to develop personalized and intelligent services in these smartphones, we propose an intelligent service-providing method based on Bayesian networks and rule-based service selection. This method infers the user's state with the use of a Bayesian network and provides appropriate services based on the inferred knowledge. We also show a prototype of a personal assistant agent based on the proposed method. This prototype is applied to a group of realistic situations, in order to confirm the usefulness of the proposed method.