Case-based reasoning
D. Leake.
Encyclopedia of Computer Science, John Wiley and Sons Ltd., Chichester, UK, 4th Edition, (Juni 2000)

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.

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@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://puma.uni-kassel.de/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 = {2012-12-10T09:41:39.000+0100},
  title = {Case-based reasoning},
  url = {http://dl.acm.org/citation.cfm?id=1074100.1074199},
  year = 2000
}

%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

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Case-based reasoning
D. Leake.
Encyclopedia of Computer Science, John Wiley and Sons Ltd., Chichester, UK, 4th Edition, (Juni 2000)

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Case-based reasoningD. Leake. Encyclopedia of Computer Science, John Wiley and Sons Ltd., Chichester, UK, 4th Edition, (Juni 2000)

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Case-based reasoning
D. Leake.
Encyclopedia of Computer Science, John Wiley and Sons Ltd., Chichester, UK, 4th Edition, (Juni 2000)