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Projects / Programmes source: ARIS

Modelling and optimising human skill in controlling dynamic systems

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Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
artificial intelligence methods, machine learning, modelling, optimisation, genetic algorithms, process control, human skill, communication interface
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publications
1.  09006  PhD Mihael Junkar  Manufacturing technologies and systems  Researcher  1998 - 1999  552 
2.  11562  PhD Viljem Križman  Computer science and informatics  Researcher  1998 - 1999  30 
3.  04586  PhD Tanja Urbančič  Computer science and informatics  Head  1997 - 1999  290 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,682 
2.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  29,207 
Abstract
The aim of the project is to enhance understandability and efficiency of operators'' activities in dynamic systems control. To this end, we develop methods for automated synthesis of models of human skill and combine them with multidimensional optimisation methods. In the three step process, operator''s activities are recorded, modelled by machine learning from the records, and optimised. by genetis algorithms. The process results in control rules that mimic human operator at the qualitative level of control strategy, but exhibits better characteristics with respect to the chosen optimisation criterion. Nonoptimised and optimised models of human skill are analysed in order to study individual characteristics of the operator''s strategy and to advice the subject how to improve his or her skill.The analysis of generated models can reveal features important in design of user friendly communication interfaces that can adapt to individual specificities of operators. The method is tested in two problem domains: control of a model container crane, and electrical discharge machining (EDM).
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