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    The HD approach derives its normative force from the nece... — Carmelics
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    Challenges→The Bayesian account of evidential support extends the hypothetical-deductive approach to cover cases where a hypothesis does not deductively entail or preclude an evidential outcome, but instead assigns a probability to that outcome

    The HD approach derives its normative force from the necessity of deductive consequence, and replacing entailment with stipulated likelihoods dissolves rather than extends that force, yielding a different epistemic framework, not a generalization of it.

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    1 reason for
    1 reason against

    Reasons For

    1 perspective
    Reason for
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    • 1.Deductive necessity provides objective, universal normative force independent of observer preferences or stipulated parameters.
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    • 2.Probabilistic frameworks require prior specification of likelihoods, making normativity conditional on arbitrary choices rather than logical.
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    • 3.A genuine generalization preserves core properties of the original; replacing necessity with contingency fundamentally alters the epistemic structure.
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    Reasons Against

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    Reason against
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    • 1.Deductive entailment itself cannot ground normativity without prior normative commitment to valuing logical consistency—the 'is-ought' problem.
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    • 2.Bayesian frameworks generalize HD by recovering deductive relationships as limiting cases where likelihoods approach 0 or 1, preserving its power.
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    • 3.Real scientific inference requires handling uncertainty; restricting normativity to deductive certainty leaves most actual justification frameworks unjustified.
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    Key Terms

    Generalization(Used in SQML proofs involving quantifiers)
    A proof rule in SQML by which a universally quantified formula is derived from an open formula, e.g. deriving ∀x(Fx → Fx) from the tautology Fx → Fx
    HD approach(as a scientific methodology)
    A method in philosophy of science called 'hypothetico-deductivism' where you test ideas by seeing if they logically predict observations—if the predictions fail, the idea is wrong.
    deductive consequence(formal logic / proof theory)
    A sentence θ is a deductive consequence of a set of sentences Γ if and only if Γ ⊢_D θ
    entailment(Conceptualist framework)
    Understood in terms of truth at a world
    epistemic framework(in epistemology (the study of knowledge))
    A system or set of rules for determining what counts as knowledge and how we should evaluate whether beliefs are justified or true.
    normative force(Used to describe what Korsgaard's account aims to explain)
    The property in virtue of which an agent's reasons are binding on the agent.
    stipulated likelihoods(in probability and logic)
    Probabilities or chances that are simply declared or assumed to be true, rather than proven from logical necessity.

    Connections

    2 topics

    Truth & Knowledge1 linkedSkepticism1 linked

    Related

    A genuine generalization preserves core properties of the original; replacing ne...Bayesian frameworks generalize HD by recovering deductive relationships as limit...

    Details

    Type
    claim
    Perspectives
    2 (1 for, 1 against)
    Edits
    1 edit
    Deductive entailment itself cannot ground normativity without prior normative co...
    Deductive necessity provides objective, universal normative force independent of...
    +3 moreShow less
    Probabilistic frameworks require prior specification of likelihoods, making norm...Real scientific inference requires handling uncertainty; restricting normativity...The Bayesian account of evidential support extends the hypothetical-deductive ap...