Agnar Aamodt
Professor Department of Computer Science Faculty of Information Technology and Electrical Engineering Sem Sælands vei 9, IT-bygget * 322
Background and activities
Professor in Computer Science and Artificial Intelligence, and Deputy Head of Department with particular responsibility for research.
Research Area
Main research area is Artificial Intelligence, and in particular methods for data analysis and experience-based support of human problem solving and learning. In particular:
- Methods for experience capture and reuse of human experiences, in particular Case-Based Reasoning
- Decision support systems
- Knowledge modelling and representation
- Machine learning
Application areas in focus include petroleum technology, fish farming, traffic and transport, and health.
Research Group: Intelligent Systems
Additional information: www.idi.ntnu.no/~agnar
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science. vol. 9969 LNCS.
- (2016) Case representation and similarity assessment in the selfBACK decision support system. CEUR Workshop Proceedings. vol. 1670.
- (2015) Evidence-driven retrieval in textual CBR: Bridging the gap between retrieval and reuse. Lecture Notes in Computer Science. vol. 9343.
- (2014) Case-based reasoning for improving traffic flow in urban intersections. Lecture Notes in Computer Science. vol. 8765.
- (2014) Integrating human related errors with technical errors to determine causes behind offshore accidents. Safety Science. vol. 63.
- (2014) An overview of case-based reasoning applications in drilling engineering. Artificial Intelligence Review. vol. 41 (3).
- (2013) A real-time decision support system for high cost oil-well drilling operations. The AI Magazine. vol. 34 (1).
- (2013) Detection of Symptoms for Revealing Causes Leading to Drilling Failures. SPE Drilling & Completion. vol. 28 (2).
- (2013) Experience Transfer for Process Improvement. Engineering applications of artificial intelligence. vol. 26 (9).
- (2012) Operational Support in Fish Farming through Case-based Reasoning. Lecture Notes in Computer Science.
- (2011) Case-based reasoning for assessment and diagnosis of depression in palliative care. Computer-Based Medical Systems.
- (2011) An Efficient Hybrid Classification Algorithm - An Example from Palliative Care. Lecture Notes in Computer Science. vol. 6679.
- (2011) Combining CBR and BN using metareasoning. Frontiers in Artificial Intelligence and Applications. vol. 227.
- (2011) Case-based reasoning in a system architecture for intelligent fish farming. Frontiers in Artificial Intelligence and Applications. vol. 227.
- (2010) Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. IFIP Advances in Information and Communication Technology. vol. 340.
- (2010) Decision-support for Diagnosing Depression through Case-based Reasoning. Palliative Medicine : A Multiprofessional Journal. vol. 24 (4).
- (2010) The utility problem for lazy learners - towards a non-eager approach. Lecture Notes in Computer Science. vol. 6176.
- (2010) Applications of CBR in Oil Well Drilling: A General Overview. IFIP Advances in Information and Communication Technology. vol. 340.
- (2009) Case-Based Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study. Lecture Notes in Computer Science. vol. 5650.
- (2009) Determining root causes of drilling problems by combining cases and general knowledge. Lecture Notes in Computer Science. vol. 5650.