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Textual case-based reasoning

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This is an old revision of this page, as edited by Marcocapelle (talk | contribs) at 19:25, 27 April 2017 (removed grandparent category of Category:Inductive reasoning). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Textual case-based reasoning is a subtopic of case-based reasoning, in short CBR, a popular area in artificial intelligence. CBR suggests the ways to use past experiences to solve future similar problems, requiring that past experiences be structured in a form similar to attribute - value pairs. This leads to the investigation of textual descriptions for knowledge exploration whose output will be, in turn, used to solve similar problems.

References

Weber, R. O., Ashley, K., & Brüninghaus, S. (2005). Textual Case-Based Reasoning. Knowledge Engineering Review, 20(3), 255–260.

  • Fourth Workshop on Textual Case-Based Reasoning: Beyond Retrieval [1]
  • Textual Case-Based Reasoning wiki [2]
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