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The value criterion's main purpose is to argue how the value should be achieved. Where the value is what the debater wants to achieve, the criterion argues how to uphold the value. An argument in a Lincoln-Douglas Debate generally contains an impact or the effect of that argument (why it matters). This necessitates an objective order to ...
The value criterion is a way to attain, achieve and quantify the nebulous value. In most modern NSDA resolutions, a value is often stated in the resolution. For example, "Resolved: Just governments ought to ensure food security for citizens." Because Justice is used in the resolution, it is an appealing value for many debaters. Morals is a ...
In general, the side that best upholds his or her value premise, which was adequately defended, wins the debate. The value premise is sometimes referred to as the "value" or simply "vp". The value premise is not to be confused with the value criterion, which is the specific means of achieving the value premise.
Further, a scientific view (in the sense of a conclusion based upon a value system) is a value judgment that is socially constructed based upon rigorous evaluation and wide consensus. With this example in mind, characterizing a view as a value judgment is vague without a description of the context surrounding it.
Example of the optimal Kelly betting fraction, versus expected return of other fractional bets. In probability theory, the Kelly criterion (or Kelly strategy or Kelly bet) is a formula for sizing a sequence of bets by maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate.
Formal logic and mathematical rules are examples of rigorous consistency. An example would be: if all As are Bs and all Bs are Cs, then all As are Cs. While this standard is of high value, it is limited. For example, the premises are a priori (or self-apparent), requiring another test of truth to employ this criterion. Additionally, strict ...
Value tree analysis is a multi-criteria decision-making (MCDM) implement by which the decision-making attributes for each choice to come out with a preference for the decision makes are weighted. [1] Usually, choices' attribute-specific values are aggregated into a complete method.
In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).