- An Efficient Hybrid Classification Algorithm -an Example from Palliative Care
- ICIIP 2004, Beijing, Invited Talk INTEGRATING CASE-SPECIFIC EXPERIENCES WITH
- Determining root causes of drilling problems by combining cases and general knowledge
- Proceedings of IADC Middle East Drilling Conference, Dubai, November 1998. 1 IADC Middle East Drilling Conference
- Case-based reasoning for improved micromanagement in Real-time strategy games.
- Case-based Reasoning for Situation-aware Ambient Intelligence: A Hospital Ward
- Knowledge-Intensive Case-Based Reasoning and Intelligent Tutoring
- Towards a Model of Context for Case-Based Diagnostic Problem Pinar ztrk and Agnar Aamodt
- AI Communications The European Journal of Artificial Intelligence, 9 (3) 1996, pp. 109-116 Relating Case-Based Problem Solving and Learning Methods
- Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision
- Case-Based Reasoning in a System Architecture for Intelligent Fish Farming
- Published in E. Sandewall and C.G Jansson (eds.): Scandinavian Conference on Artificial Intelligence. IOS Press 1993, pp 168-182. A Case-Based Answer to Some Problems
- KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING
- A hybrid metareasoning architecture combining case-based reasoning and
- AI Communications ---The European Journal of Artificial Intelligence, 9 (3) 1996, pp. 109116 Relating CaseBased Problem Solving and Learning Methods
- An Introspective Component-Based Approach for Meta-Level Reasoning in Clinical Decision Support Systems
- Case-Based Situation Assessment in a Mobile Context-Aware System
- CBR for Advice Giving in a Data-Intensive Environment
- Applications of CBR in oil well drilling "A general overview"
- The Utility Problem for Lazy Learners -Towards a Non-eager Approach
- Towards an Introspective Architecture for Meta-level Reasoning in Clinical Decision
- Explanatory Capabilities in the CREEK Knowledge-Intensive Case-Based
- Contextualised Ambient Intelligence through Case-Based Reasoning
- Dialog Learning in Conversational CBR Mingyang Gu and Agnar Aamodt
- The Knowledge Engineering Review, Vol. 20:3, 203207. 2006, Cambridge University Press doi:10.1017/S0269888906000695 Printed in the United Kingdom
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- DOI 10.1007/s10462-005-4607-7 Artificial Intelligence Review (2005) 24: 109143 Springer 2005
- Knowledge-Intensive Case-Based Support for Automated Explanation of Biological
- Comparing Similarity Calculation Methods in Conversational CBR
- Knowledge-Intensive Case-Based Reasoning in CREEK Agnar Aamodt
- Knowledge communication and CBR Frode Srmo1
- Proceedings of the Workshop Program at the Fourth International Conferencd on Case-Based Reasoning, Vancouver, 2001. Workshop on Case-Based Reasoning Authoring Support Tools. Naval Research Lab Technical Note AIC-01-003, pp. 32-37.
- A two layer case-based reasoning architecture for medical image understanding
- Published in Data and Knowledge Engineering 16 (1995) 191-222, Elsevier. Corresponding author. Email: agnar.aamodt@ifi.ntnu.no
- In S.Wess, K.Althoff, M.Richter (eds.): Topics in case-based reasoning. Springer Verlag, 1994, pp 274-288. Explanation-Driven Case-Based Reasoning
- Published in: AI Communications, Vol. 7 Nr. 1, March 1994, pp 39-59 Case-Based Reasoning: Foundational Issues,
- Road Transport Informatics -Conceptual Framework and Technologica Components
- Proceedings European Conference on Machine Learning (ECML-93), Vienna April 1993, pgs 429-Integrated Learning Architectures
- Published in ECAI-90, Proceedings of the 9th European Conference on Artificial Intelligence, edited by Luigia Aiello, Stockholm, August, 6-10,1990. Pitman Publishing, London, 1990. Pages 1-6.
- A Computational Model of Knowledge-Intensive Learning and Problem Solving1
- flatulence +7%; defecation pain + 8%; appetite lost +15%; vomiting +6% / F vs CRM defecation problems and appetite lost
- Published in Proceedings of EWCBR-93, First European Workshop on Case-Based Reasoning, Kaiserslautern, Nov. 1993. pp 279-384 Explanation-Driven
- Representing Temporal Knowledge for Case-Based Prediction
- A context model for knowledge-intensive case-based reasoning
- IJCAI-99, Workshop ML-5: Automating the Construction of Case-Based Reasoners. Stockholm 1999. S. S. Anand, A. Aamodt, D.W. Aha (eds.). pp. 39-43. When using knowledge-intensive case-based
- Kunstliche Intelligenz (KI), nr 1 (M rz) 1996, pp 10-15 Zur Analyse fallbasierter Probleml se-und Lernmethoden in
- Improved Efficiency of Oil Well Drilling through Case Based Reasoning
- Explanations in Bayesian Networks using Provenance through Case-based Reasoning
- PROBLEM SOLVING AND SUSTAINED LEARNING FROM EXPERIENCE: ANALYZING METHODS WITH RESPECT TO DOMAIN CHARACTERISTICS
- A SEMI-AUTOMATIC METHOD FOR CASE ACQUISITION IN CBR A STUDY IN OIL WELL DRILLING
- Proceedings of IADC Middle East Drilling Conference, Dubai, November 1998. 1 IADC Middle East Drilling Conference
- Journal of Experimental and Theoretical AI, Vol. 11, 1999, pp. 479-496.. A NEW APPROACH TO APPLICABLE MEMORY-
- A Knowledge-Intensive Method for Conversational Mingyang Gu and Agnar Aamodt
- Case-Based Situation Assessment in a Mobile Context-Aware System Anders Kofod-Petersen Agnar Aamodt
- IJCAI-99 Workshop ML-5: Automating the Construction of Case-Based Reasoners, Stockholm 1999, S.S. Anand, A. Aamodt, D.W. Aha (eds.). pp 77-82 Learning Retrieval Knowledge from Data
- Towards Automated Explanation of Gene-Gene Relationships
- COMPONENT RETRIEVAL USING CONVERSATIONAL CASE-BASED REASONING
- 1. A query is parsed and represented in an internal language, and the objects within the query are mapped onto the conceptual
- Safety and Reliability; Proceedings of ESREL '98, Trondheim, June 16-19, 1998. Lydersen, Hansen, Sandtorv (eds.). Balkena, Rotterdam, 1998. ISBN 90-5410-966-1. pp 1345-1351.
- This paper was presented at NAIS 2009; see http://http://events.idi.ntnu.no/nais2009/ Integrated Reasoning Systems
- American Association for Artificial Intelligence, Case-based reasoning integrations; Papers from the AAAI workshop. David Aha, Jody J. Daniels (eds.). Technical Report WS-98-15. AAAI Press, Menlo Park, 1998. ISBN 1-57735-068-5. pp 1-6.
- Evaluating CBR Systems Using Different Data Sources: A Case Study
- Fig. 1. The conversational case retrieval process in CCBR CaseQuery := Case-Query-formalize(InitialProblemDescription);
- Proceedings from IEEE TAI-94, International Conference on Tools with Artificial Intelligence. New Orleans, November 5-12, 1994, pp 836-839
- G. Tecuci, Y. Kodratoff (eds.): Machine Learning and Knowledge Acquisition; Integrated Approaches, Academic Press, 1995, Ch. 8, 99 197-245
- A Knowledge-Intensive, Integrated Approach to Problem Solving and Sustained Learning
- Case-Based Reasoning -An Introduction
- Advances in Drilling Technology -E-proceedings of the First International Conference on Drilling Technology (ICDT -2010) and National Workshop on Manpower Development in Petroleum Engineering (NWMDPE -2010), November 18-21, 2010.
- A Hybrid CBR and BN Architecture Refined through Data Analysis Tore Bruland
