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  2. Graphical Evaluation and Review Technique - Wikipedia

    en.wikipedia.org/wiki/Graphical_Evaluation_and...

    Graphical Evaluation and Review Technique (GERT) is a network analysis technique used in project management that allows probabilistic treatment both network logic and estimation of activity duration. The technique was first described in 1966 by Dr. Alan B. Pritsker of Purdue University and WW Happ.

  3. Probabilistic argumentation - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_argumentation

    Probabilistic argumentation systems encounter a problem when used to determine the occurrence of Black Swan events since, by definition, those events are so improbable as to seem impossible. As such, probabilistic arguments should be considered fallacious arguments known as appeals to probability .

  4. Modeling perspective - Wikipedia

    en.wikipedia.org/wiki/Modeling_perspective

    The main concept in this modeling perspective is the process, this could be a function, transformation, activity, action, task etc. A well-known example of a modeling language employing this perspective is data flow diagrams. The perspective uses four symbols to describe a process, these being:

  5. Probabilistic logic programming - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_logic...

    Probabilistic logic programming is a programming paradigm that combines logic programming with probabilities.. Most approaches to probabilistic logic programming are based on the distribution semantics, which splits a program into a set of probabilistic facts and a logic program.

  6. Probabilistic semantics - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_semantics

    Probabilistic semantics [1] extend the current semantic technology to overcome that limitation. However, due to their probabilistic approach, probabilistic semantics are able to describe only those uncertainties that can be quantified, namely they cannot model conceptual uncertainty.

  7. Predictive modelling - Wikipedia

    en.wikipedia.org/wiki/Predictive_modelling

    History cannot always accurately predict the future. Using relations derived from historical data to predict the future implicitly assumes there are certain lasting conditions or constants in a complex system. This almost always leads to some imprecision when the system involves people. [citation needed] Unknown unknowns are an issue. In all ...

  8. Probabilistic logic - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_logic

    Historically, attempts to quantify probabilistic reasoning date back to antiquity. There was a particularly strong interest starting in the 12th century, with the work of the Scholastics, with the invention of the half-proof (so that two half-proofs are sufficient to prove guilt), the elucidation of moral certainty (sufficient certainty to act upon, but short of absolute certainty), the ...

  9. Probability interpretations - Wikipedia

    en.wikipedia.org/wiki/Probability_interpretations

    This is not the only way probabilistic statements are used in ordinary human language: when people say that "it will probably rain", they typically do not mean that the outcome of rain versus not-rain is a random factor that the odds currently favor; instead, such statements are perhaps better understood as qualifying their expectation of rain ...