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    Successful models of analogical reasoning need not take t... — Carmelics
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    Successful models of analogical reasoning need not take the form of quasi-logical criteria.

    Philosophy of LanguageTruth & Knowledge
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    2 reasons for
    1 reason against

    Reasons For

    2 perspectives
    Reason for 1 of 2
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    • 1.Wittgenstein's notion of 'family resemblance' shows that concepts can be validly extended through overlapping similarities without any governing logical rule.
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    • 2.Analogical reasoning, like family resemblance, operates through recognizing weighted clusters of shared features rather than satisfying necessary and sufficient conditions.
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    • 3.A model grounded in family resemblance therefore succeeds precisely by abandoning quasi-logical criteria, not despite doing so.
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    Reason for 2 of 2
    ?
    • 1.Hesse's material theory of analogy holds that the evidential weight of an analogy depends on causal and nomological relations in the domain, not on formal structural mappings.
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    • 2.Quasi-logical criteria abstract away from these domain-specific causal relations, thereby stripping analogical models of their epistemic content.
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    • 3.A successful model must therefore be grounded in domain-specific material inference rules, as Hesse and later Norton argue, rather than purely formal criteria.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.Computational models such as ACME and Copycat perform successful analogical reasoning through cognitive processes operating below the level of abstract reasoning.
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    • 2.These computational models can be judged on their performance rather than on traditional philosophical standards.
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    • 3.Efforts to develop a quasi-logical theory of analogical reasoning have failed.
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    Philosophy of LanguageTruth & Knowledge

    Connections

    3 topics

    Consequentialism1 linkedConsciousness & Mind1 linkedSkepticism1 linked

    Related

    A model grounded in family resemblance therefore succeeds precisely by abandonin...A successful model must therefore be grounded in domain-specific material infere...Analogical reasoning, like family resemblance, operates through recognizing weig...Computational models such as ACME and Copycat perform successful analogical reas...
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    Efforts to develop a quasi-logical theory of analogical reasoning have failed.Hesse's material theory of analogy holds that the evidential weight of an analog...

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    Efforts to develop a quasi-logical theory of analogical reasoning have...87%If analogical reasoning is required to conform only to a simple formal...86%A general justification of analogical reasoning cannot support all arg...86%If the only legitimate form of analogical reasoning is one most analog...85%

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    SEP: reasoning-analogy
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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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    Validity: Extracted via Max plan + API grounding/validity checks

    Details

    Quasi-logical criteria abstract away from these domain-specific causal relations...
    These computational models can be judged on their performance rather than on tra...
    Wittgenstein's notion of 'family resemblance' shows that concepts can be validly...
    Type
    claim
    Perspectives
    3 (2 for, 1 against)
    Edits
    1 edit