Dorian Šuc and Ivan Bratko and Claude Sammut (2004) Learning to Fly Simple and Robust. In: 15th European Conference on Machine Learning, ECML-2004.
We report on new experiments with machine learning in the reconstruction of human sub-cognitive skill. The particular problem considered is to generate a clone of a human pilot performing a flying task on a simulated aircraft. The work presented here uses the human behaviour to create constraints for a search process that results in a controller -- pilot's clone. Experiments in this paper indicate that this approach, called ``indirect controllers'', results in pilot clones that are, in comparison with those obtained with traditional ``direct controllers'', simpler, more robust and easier to understand. An important feature of indirect controllers in this paper is the use of qualitative constraints.
|Item Type: ||Conference or Workshop Item (Paper)|
|Keywords: ||machine learning, qualitative reasoning, behavioural cloning, skill reconstruction, dynamic system control|
|Language of Content: ||English|
|Related URLs: |
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Artificial Intelligence Laboratory|
|Item ID: ||180|
|Date Deposited: ||22 Apr 2005|
|Last Modified: ||13 Aug 2011 00:32|
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