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Case-based reasoning: An overview
AI Commun., 1997This paper contains a brief overview of Case-Based Reasoning (CBR) with an emphasis on European activities in the field. The main objective was to have a balance between brevity and expressiveness and providing helpful pointers to the field. It identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching ...
López de Mántaras, Ramón +1 more
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Reflective Reasoning in a Case-Based Reasoning Agent
1999As a Case-Based Reasoning agent (CBR) evolves over time, and solves new problems based on previous experiences, there are some pitfalls that can appear in the problem-solving task. When those troubles arise, is the time to start some reflective reasoning tasks to overcome those problems and to improve the CBR performance.
Miquel Sànchez-Marrè +4 more
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Case-Based Reasoning for Financial Prediction
2005A concept of financial prediction system is considered in this paper. By integrating multidimensional data technology (data warehouse, OLAP) and case-based reasoning, we are able to predict financial trends and provide enough data for business decision making.
Simić, Dragan +3 more
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Case-Based Reasoning and the Statistical Challenges
Quality and Reliability Engineering International, 2008AbstractCase‐based reasoning (CBR) solves problems using the already stored knowledge and captures new knowledge, making it immediately available for solving the next problem. Therefore, CBR can be seen as a method for problem solving and also as a method to capture new experience and make it immediately available for problem solving.
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FROM CASE-BASED REASONING TO TRACES-BASED REASONING
IFAC Proceedings Volumes, 2006Abstract CBR is an original paradigm to adapt solutions of past problems in order to solve new similar problems. A case is a problem with its solution and cases are stored in a case library. The reasoning process obeys to a cycle allowing to “learn” from new solved cases.
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Information Systems Management, 1993
Case-based reasoning (CBR) is an alternative to traditional rule-based expert systems approaches. The fact that rules can be incomplete and must be assembled through a time-consuming knowledge acquisition process has been a major bottleneck in the usefulness of rule-based methods for configuring information systems.
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Case-based reasoning (CBR) is an alternative to traditional rule-based expert systems approaches. The fact that rules can be incomplete and must be assembled through a time-consuming knowledge acquisition process has been a major bottleneck in the usefulness of rule-based methods for configuring information systems.
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On the Improvement of the Reasoning Cycle in Case-Based Reasoning
2023Fateh Boulmaiz +2 more
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On Completeness-Aware Reasoning in Case-Based Reasoning
2023Fateh Boulmaiz +2 more
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