Adaptive Experience-Based Composition of Continuously Changing Quality of Context

A4 Conference proceedings

Internal Authors/Editors

Publication Details

List of Authors: Neovius Mats
Editors: Mark J Balas
Publication year: 2015
Publisher: Iaria xps press
Book title: 7th International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE 2015)
Start page: 21
End page: 26
ISBN: 978-1-61208-391-9
ISSN: 2308-4146


Contemporary systems increasingly rely on information provided by autonomous agents. The autonomous agents provide inherently inaccurate information due to, for example, rounding, calibration error or subjectivity. Moreover, the level of information inaccuracy may change without notice. Regardless the reason of the inaccuracy, a system relying on such information needs to adapt to the quality of the momentary information. In this paper, we propose a method for this adaption. The method bases on evidence theory and probability theory to compose a ground truth from disjoint information in a proposition. This ground truth is used to evaluate the disjoint information and determine this experience’s score. Each experience adds to the history of experiences in an agent, i.e., to the amount and character of evidence an agent has on another’s performance. Moreover, the method features a forgetting parameter facilitating adaption in case of, for example, maintenance to the providing agent. The method output is one parameter denoting the level of confidence the system certifies the composed information with. The presented method is validated by a case study on a dataset of in-house temperature data.

Last updated on 2020-26-02 at 04:17