Analogical Reasoning and Learning

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.

The following architectures use or have displayed the capability for analogical reasoning and/or learning:

Planning and Learning Architecture (PRODIGY)
Problem Space Architecture (Soar)
Modular, Integrated Architecture(ICARUS)

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