Current PhD projects (Fall 2007):
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<b>Machine learning methods that learn from experience</b>
Studying learning methods' ability to improve their learning ability over time. Case-based and statistical approaches are explored. EPCRC project is a strong candidate for method testing.
-	Tor Gunnar Høst Houeland, PHD.stip (Forskerskole)
-	Agnar aamodt, supervisor
-	Helge Langseth, ass. supervisor
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<b>Trustable AI systems</b>					
<p>Combining computer science, AI, and philosophy to arrive at design principles for how to improve a user’s trust in AI systems. <br>Cooperation with Univ. Osnabruck, Germany.
-	Jörg Cassens, PhD.stip.
-	Agnar Aamodt, supervisor
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<b>Similarity methods and machine learning	</b>
<p>Study and experiments with different similarity measures for case matching, aimed at an improved framework and method. 
-	Xin Tong, PhD.stip.
-	Pinar Özturk, supervisor
-	Agnar Aamodt, ass. supervisor
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<b>Biomedical ontologies</b>
<p>Generating explanations of relationships in gene networks through semantic network models and cases. <br>Cooperation with Department of Cancer Research and Molecular Medicine, NTNU.
-	Wacek Kusnierczyk, PhD.stip.
-	Agnar Aamodt, supervisor
-	Astrid Lægreid, DMF, ass. supervisor
-	Arne Sandvik, DMF, ass..supervisor
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<b>Modelling of oil well drilling knowledge for active decision support</b>
<p>Developing and testing a of an ontology and knowledge model for oil drilling, linked to specific case experiences. <br>Cooperation with Department of Petroleum Engineering, NTNU, and Sintef.
-	Jafar Abdullah, PhD.stip.
-	Pål Skalle, IPT, supervisor
-	Agnar Aamodt, ass.supervisor
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