@incollection{leake2000casebased, author = {Leake, David B.}, title = {Case-based reasoning}, editor = {Ralston, Anthony and Reilly, Edwin D. and Hemmendinger, David}, booktitle = {Encyclopedia of Computer Science}, publisher = {John Wiley and Sons Ltd.}, address = {Chichester, UK}, year = {2000}, pages = {196--197}, edition = {4th}, url = {http://dl.acm.org/citation.cfm?id=1074100.1074199}, isbn = {0-470-86412-5}, keywords = {based, case, cbr, learning, machine, ml, reasoning}, abstract = {Case-based reasoning(CBR) is an artificial intelligence paradigm for reasoning and learning. Case-based reasoning solves new problems by retrieving stored records of prior problem-solving episodes (cases) and adapting their solutions to fit new circumstances. Each processing episode provides a new case that is stored for future reuse, making learning a natural side-effect of the reasoning process. Case-based reasoning is also studied within cognitive science as a model of human reasoning: studies show that people use recollections of prior problems to guide their reasoning in a wide range of tasks, such as programming, mathematical problem solving, diagnosis, decision making, and design.} }