Fuzzy Mediation as a Dynamic Extension to Information Fusion

Fuzzy Mediation as a Dynamic Extension to Information Fusion

This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an arti...

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Bibliographic Details
Published in:2007 10th International Conference on Information Fusion pp. 1 - 7
Main Authors: Vincenti, G., Trajkovski, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2007
Subjects:
Airplanes
Automatic control
Automation
Collaborative learning
Control systems
Engines
Fuzzy control
Fuzzy mediation
Humans
Information fusion
Mediation
Negative feedback
Shared control
Supervised learning
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Summary:This paper presents an innovative approach to the field of information fusion. Fuzzy mediation differentiates itself from other algorithms, as this approach is dynamic in nature. The experiments reported in this work analyze the interaction of two distinct controllers as they try to maneuver an artificial agent through a path. Fuzzy mediation functions as fusion engine to integrate the two inputs to produce a single output. Results show that fuzzy mediation is a valid method to mediate between two distinct controllers. The work reported in this article lays the foundation for the creation of an effective tool that uses positive feedback systems instead of negative ones to train human and non-human agents in the performance of control tasks.
DOI:10.1109/ICIF.2007.4408083