Agnar Aamodt
Background and activities
Professor in Computer Science and Artificial Intelligence.
Affiliated with Norwegian Open AI Lab.
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 in combination with generalization-based methods - Machine learning and data analysis
- Knowledge modelling and representation
- Cognitive Science
- Decision support systems
Application areas in focus include medicine and health, fish farming, petroleum technology, search and rescue.
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
- (2017) A learning system based on lazy metareasoning. Progress in Artificial Intelligence. vol. 7 (2).
- (2016) Case Representation and Similarity Assessment in the SELFBACK Decision Support System. Lecture Notes in Computer Science (LNCS). vol. 9969 LNCS.
- (2016) Case representation and similarity assessment in the selfBACK decision support system. CEUR Workshop Proceedings. vol. 1670.
- (2016) Kunstig intelligens og maskinglæring. Overlegen. vol. 4.
- (2015) Evidence-driven retrieval in textual CBR: Bridging the gap between retrieval and reuse. Lecture Notes in Computer Science (LNCS). vol. 9343.
- (2015) Workshop: AI and creativity in entertainment. Lecture Notes in Computer Science (LNCS). vol. 9353.
- (2014) Case-based reasoning for improving traffic flow in urban intersections. Lecture Notes in Computer Science (LNCS). 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 (LNCS).
- (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 (LNCS). 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. vol. 24 (4).
- (2010) The utility problem for lazy learners - towards a non-eager approach. Lecture Notes in Computer Science (LNCS). 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 (LNCS). vol. 5650.
- (2009) Determining root causes of drilling problems by combining cases and general knowledge. Lecture Notes in Computer Science (LNCS). 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 (LNCS). vol. 4106.
- (2006) Contextualised Ambient Intelligence through Case-Based Reasoning. Lecture Notes in Computer Science (LNCS). vol. 4106.
- (2005) A Knowledge-Intensive Method for Conversational CBR. Lecture Notes in Computer Science (LNCS). 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 (LNCS). vol. 3155.
- (2002) Representing temporal knowledge for case-based prediction. Lecture Notes in Computer Science (LNCS). vol. 2416.
- (2000) Improved efficiency of oil well drilling through case-based reasoning. Lecture Notes in Computer Science (LNCS). 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.
Books
- (2010) Intelligent Information Processing V. Springer. 2010. ISBN 3-642-16326-2. IFIP Advances in Information and Communication Technology (340).
- (1995) SCAI'95: Fifth Scandinavian Conference on Artificial Intelligence. 1995. ISBN 90-5199-221-1. Frontiers in Artificial Intelligence and Applications (Volume 28).
- (1995) Case-Based Reasoning Research and Development, First International Conference on Case-Based Reasoning, ICCBR-95. Springer. 1995. Lecture Notes in Computer Science (Vol. 1010).