Propositional knowledge base revision and minimal change
Artificial Intelligence
Inside Case-Based Reasoning
A Knowledge-Level Task Model of Adaption in Case-Based Reasoning
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
GWAI '92 Proceedings of the 16th German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Artificial Intelligence - Special issue on nonmonotonic reasoning
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Epistemological problems of artificial intelligence
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Case base mining for adaptation knowledge acquisition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Handbook on Ontologies
An investigation of generalized cases
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Case-Based reasoning within semantic web technologies
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Conservative Adaptation in Metric Spaces
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Real-time retrieval for case-based reasoning in interactive multiagent-based simulations
Expert Systems with Applications: An International Journal
An algorithm for adapting cases represented in an expressive description logic
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
An algorithm for adapting cases represented in ALC
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Introduction of a combination vector to optimise the interpolation of numerical phantoms
Expert Systems with Applications: An International Journal
Proceedings of the International C* Conference on Computer Science and Software Engineering
Case-Based Reasoning adaptation of numerical representations of human organs by interpolation
Expert Systems with Applications: An International Journal
Reutilization of diagnostic cases by adaptation of knowledge models
Engineering Applications of Artificial Intelligence
Case adaptation with qualitative algebras
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Automatic case acquisition from texts for process-oriented case-based reasoning
Information Systems
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Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach to adaptation called conservative adaptation; it consists in keeping as much as possible from the solution to be adapted, while being consistent with the domain knowledge. This idea can be related to the theory of revision: the revision of an old knowledge base by a new one consists in making a minimal change on the former, while being consistent with the latter. This leads to a formalization of conservative adaptation based on a revision operator in propositional logic. Then, this theory of conservative adaptation is confronted to an application of case-based decision support to oncology: a problem of this application is the description of a patient ill with breast cancer, and a solution, the therapeutic recommendation for this patient. Examples of adaptations that have actually been performed by experts and that can be captured by conservative adaptation are presented. These examples show a way of adapting contraindicated treatment recommendations and treatment recommendations that cannot be applied.