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.
On research leave ('sabbatical') in the academic year 2017-2018.
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,
and in particular Case-Based Reasoning - Machine learning and data analysis
- Knowledge modelling and representation
- Cognitive Science
- Decision support systems
Application areas in focus include petroleum technology, fish farming, traffic and transport, and health.
Research Group: Data and Artificial Intelligence
Additional information: www.idi.ntnu.no/~agnar
Scientific, academic and artistic work
Displaying a selection of activities. 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) Workshop: AI and creativity in entertainment. Lecture Notes in Computer Science. vol. 9353.
- (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.
- (2008) Case-based reasoning for advice-giving in a data-intensive environment. Frontiers in Artificial Intelligence and Applications. vol. 173.
- (2008) Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based Reasoner. Frontiers in Artificial Intelligence and Applications. vol. 173.
- (2006) Evaluating CBR Systems Using Different Data Sources: A Case Study. Lecture Notes in Computer Science. vol. 4106.
- (2006) Contextualised Ambient Intelligence through Case-Based Reasoning. Lecture Notes in Computer Science. vol. 4106.
- (2005) A Knowledge-Intensive Method for Conversational CBR. Lecture Notes in Computer Science. vol. 3620.
- (2005) Explanation in Case-Based Reasoning - Perspectives and Goals. Artificial Intelligence Review. vol. 24 (2).
- (2005) Retrieval, reuse, revision, and retention in case-based reasoning. Knowledge engineering review (Print). vol. 30 (03).
- (2005) Integrations with case-based reasoning. Knowledge engineering review (Print). vol. 30 (03).
- (2005) Case-based reasoning foundations. Knowledge engineering review (Print). vol. 30 (03).
- (2004) Knowledge-intensive case-based reasoning in CREEK. Lecture Notes in Computer Science. vol. 3155.
- (2002) Representing temporal knowledge for case-based prediction. Lecture Notes in Computer Science. vol. 2416.
- (2000) Improved efficiency of oil well drilling through case-based reasoning. Lecture Notes in Computer Science. vol. 1886.
- (1999) A new approach to applicable memory-based reasoning. Journal of experimental and theoretical artificial intelligence (Print). vol. Nr. 11.
- (1998) A context model for knowledge-intensive case-based reasoning. International Journal of Human-Computer Studies. vol. 48.
- (1996) Relating case-based problem solving and learning methods to task and domain characteristics; towards an analytic framework. AI Communications. vol. 9(3).
- (1996) Zur Analyser fallbasierter Problemöse- und Lernmethode in Abhängigkeit von Charakteristika gegebener Aufgabenstellungen und Anwendungsdomänen. Künstliche Intelligenz. vol. Nr. 1.
- (1995) Different Roles and Mutual Dependencies of Data, Information, and Knowledge - an AI perspective on their integration. Data & Knowledge Engineering.
- (1994) Case-Based Reasoning: Foundational issues, current state, and future trends. AI Communications.
- (1992) Knowledge-Based Information Retrieval. Future generations computer systems.