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Inverse View
It is not the case that Feasibility is a semantic, resource-sensitive notion tied to actual physical computation, not merely a structural property of definitional schemes.
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Reason for
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1.
Feasibility as structural property holds across all possible physical substrates; resource constraints are implementation details.
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2.
Distinguishing feasible from infeasible problems requires complexity-theoretic properties independent of specific physical instantiation.
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3.
Resource sensitivity makes feasibility radically context-dependent; science needs stable, substrate-independent definitions of computability.
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Reasons Against
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Reason against
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1.
Turing machines can compute any algorithm, yet physical computers cannot; feasibility must account for real resource constraints.
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2.
A problem solvable in principle but requiring more energy than exists is practically infeasible, not just theoretically hard.
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3.
Semantics concerns what expressions mean in actual contexts; feasibility is meaningless divorced from computational reality.
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