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    Carmelics

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    LoyalLoyalJusticeJustice
    Made withinDC&Austin
    Statements
    321,452
    Perspectives
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    Topics
    42
    Home/Original/inverse
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    Inverse View

    It is not the case that Successful models of analogical reasoning need not take the form of quasi-logical criteria.

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    Reasons For

    1 perspective
    Reason for
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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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    Reasons Against

    2 perspectives
    Reason against 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 against 2 of 2
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    • 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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