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    Efforts to develop a quasi-logical theory of analogical r... — Carmelics
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    Challenges→Successful models of analogical reasoning need not take the form of quasi-logical criteria.

    Efforts to develop a quasi-logical theory of analogical reasoning have failed.

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    Computational models such as ACME and Copycat perform successful analogical reas...Successful models of analogical reasoning need not take the form of quasi-logica...These computational models can be judged on their performance rather than on tra...

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    Successful models of analogical reasoning need not take the form of qu...87%The Clustering Postulate fails to adequately justify analogical reason...87%The success-based justification of Pythagorean analogical reasoning is...84%If the only legitimate form of analogical reasoning is one most analog...84%

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    Orderly structures emerge out of random low-level processes and the program produces plausible solutions. Copycat thus shows that analogy-making can be modeled as a process akin to perception, even if the program employs mechanisms distinct from those in human perception. The multiconstraint theory and Copycat share the idea that analogical cognition involves cognitive processes that operate below the level of abstract reasoning. Both computational models—to the extent that they are capable of

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