@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},
  address = {Chichester, UK},
  author = {Leake, David B.},
  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},
  month = jun,
  numpages = {2},
  pages = {196--197},
  publisher = {John Wiley and Sons Ltd.},
  title = {Case-based reasoning},
  url = {http://dl.acm.org/citation.cfm?id=1074100.1074199},
  year = 2000
}