Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Learning. Pages 908-912.
Abstract
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is to build the controller by acquiring the knowledge of an operator skilled at that task. This method has been demonstrated for the skill of learning to fill an aircraft in a flight simulator. The simulator has been augmented to interact with a knowledge acquisition program for creating rules and logging the pilot's actions along with flight information. We have developed a method called Dynamic Ripple Down Rules for knowledge acquisition and Learning Dynamic Ripple Down Rules for automatically generating rules from the logged data. The rules were tested by running the flight simulator in autopilot mode where the autopilot code is implemented by the rules.
@inproceedings{ijcai1997p131,
title = {Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems},
author = {Shiraz, G. M. and Sammut, Claude},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {908--912},
year = {1997},
note = {Learning},
url = {https://ijcai.org/proceedings/1997/131},
}
TY - CPAPER TI - Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems AU - Shiraz, G. M. AU - Sammut, Claude T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 908 EP - 912 UR - https://ijcai.org/proceedings/1997/131 ER -Copied
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