Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks

Abstract

To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets. The intentions of the driver can be analyzed and tasks can be accomplished autonomously, i.e. without interference of the user. In this contribution, different adaptive agents… (More)
DOI: 10.1007/978-3-540-73345-4_64

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