Sentence examples for a logical foundation for from inspiring English sources

The phrase "a logical foundation for" is correct and usable in written English.
It can be used when discussing the basis or reasoning behind a concept, argument, or theory.
Example: "The research provides a logical foundation for understanding the complexities of human behavior."
Alternatives: "a rational basis for" or "a reasoned groundwork for".

Exact(8)

Let me here mention that closely associated with this dilemma are two related traditions, one attempting to work out a logic for imperatives, the other rejecting the prospect for a logic of imperatives, but stressing the importance of imperatives as semantic components in devising a logical foundation for normative propositions.

And, this provides a logical foundation for generating all possible reconstruction designs of Zhang Heng's seismoscope before new evidences are found.

Before he became aware of Russell's paradox, Frege attempted to construct a logical foundation for mathematics.

In part, Bressan wanted to provide a logical foundation for physics.

We have a "logical foundation" for an analogical argument if this probability increase actually occurs.

2.4.2 Proposed Foundation for Mathematics Before he became aware of Russell's paradox, Frege attempted to construct a logical foundation for mathematics.

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Similar(52)

The task of analysis is to provide not a computational method but a sound logical foundation for limiting processes.

"The work provides a solid logical foundation for fresh thinking in the cyber security field," says John Arquilla, a defense analyst at the Naval Postgraduate School in Monterey, California.

The book also contains a brief discussion of Russell's Paradox, and it was reading this that inspired Leśniewski to become a logician, intent on providing a paradox-free logical foundation for mathematics.

While not a consensus terminology, these terms have a logical foundation.

Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasoning under uncertainty renders it inadequate for many important classes of problems.

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