Learning by Analogy
Reasoning by analogy generally involves abstracting details from a a
particular set of problems and resolving structural similarities
between previously distinct problems. Analogical reasoning refers to
this process of recognition and then applying the solution from the
known problem to the new problem. Such a technique is often
identified as case-based reasoning. Analogical learning
generally involves developing a set of mappings between features of
two instances. Paul Thagard and Keith Holyoak have developed a
computational theory of analogical reasoning that is consistent with
the outline above, provided that abstraction rules are provided to the
model.
Architectures having this capability include:
Go to A List of Common Capabilities.
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