%0 Book Section %1 leake2000casebased %A Leake, David B. %B Encyclopedia of Computer Science %C Chichester, UK %D 2000 %E Ralston, Anthony %E Reilly, Edwin D. %E Hemmendinger, David %I John Wiley and Sons Ltd. %K based case cbr learning machine ml reasoning %P 196--197 %T Case-based reasoning %U http://dl.acm.org/citation.cfm?id=1074100.1074199 %X 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. %7 4th %@ 0-470-86412-5

@incollection{leake2000casebased, 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.}, acmid = {1074199}, added-at = {2012-12-10T09:41:39.000+0100}, address = {Chichester, UK}, author = {Leake, David B.}, biburl = {https://www.bibsonomy.org/bibtex/2b8526b7c03f1fc9bdd85863dfbf881a2/jaeschke}, booktitle = {Encyclopedia of Computer Science}, edition = {4th}, editor = {Ralston, Anthony and Reilly, Edwin D. and Hemmendinger, David}, interhash = {fa414e2f48be14bb94cbfbf2566e36af}, intrahash = {b8526b7c03f1fc9bdd85863dfbf881a2}, isbn = {0-470-86412-5}, keywords = {based case cbr learning machine ml reasoning}, month = jun, numpages = {2}, pages = {196--197}, publisher = {John Wiley and Sons Ltd.}, timestamp = {2014-07-28T15:57:31.000+0200}, title = {Case-based reasoning}, url = {http://dl.acm.org/citation.cfm?id=1074100.1074199}, year = 2000 }