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One 2014 study conducted at the University of Iowa concluded that "growth in... critical thinking, moral reasoning, the need for cognition, intercultural effectiveness, and psychological well-being -- over four years does not differ by major at liberal arts colleges.
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As such, we may say in particular of those Biblical prooftexts employed by Saadya in support of the importance of reasoning, that they simultaneously (one might even say, paradoxically) beckon us to (a) the limitations of reasoning, (b) the need for (and consistency with reason of) revealed Knowledge, and even (c) the need to ground a life of reasoned reflection in a life of revealed tradition.
In his works La Logique (1780) and La Langue des calculs (1798; "The Language of Calculation"), Condillac emphasized the importance of language in logical reasoning, stressing the need for a scientifically designed language and for mathematical calculation as its basis.
Heidi Grasswick builds upon Scheman's line of reasoning concerning the need for scientific institutions to be trustworthy from particular social vantage points.
A recent study he wrote with Igor Grossmannon aging and wisdom concluded: "Older people make more use of higher-order reasoning schemes that emphasize the need for multiple perspectives, allow for compromise, and recognize the limits of knowledge".
In the context of recruitment, a CTRSS based on case-based reasoning could dispense with the need for translating eligibility criteria and could also be implemented independently from the terminology of the EHR's database.
And that's what the reasoning and the arguments behind the need for a new international tax body are.
This paper proposes an approach that couples an event-driven framework for detecting and reasoning in situations that pose the need for process adaptations with MCDM methods for selecting adaptations.
An application to e-commerce workflows illustrates the benefits of the framework and the need for specific reasoning tools.
The need for deductive reasoning depends on the fact that it is not exposed to possible empirical confutation.
In a Bayesian game, incomplete knowledge is modeled by randomly instantiating the player's types, after which they choose their strategies optimally thus eliminating the need for recurrent reasoning about the other players' strategy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com