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  2. Systems theory in political science - Wikipedia

    en.wikipedia.org/wiki/Systems_theory_in...

    Easton, David (1965). A Systems Analysis of Political Life, New York, S.32. Systems theory in political science is a highly abstract, partly holistic view of politics, influenced by cybernetics. The adaptation of system theory to political science was conceived by David Easton in 1953.

  3. David Easton - Wikipedia

    en.wikipedia.org/wiki/David_Easton

    David Easton FRSC (June 24, 1917 – July 19, 2014) was a Canadian-born American political scientist. From 1947 to 1997, he served as a professor of political science at the University of Chicago. From 1947 to 1997, he served as a professor of political science at the University of Chicago.

  4. Black box - Wikipedia

    en.wikipedia.org/wiki/Black_box

    A developed black box model is a validated model when black-box testing methods [10] ensures that it is, based solely on observable elements. With back testing, out of time data is always used when testing the black box model. Data has to be written down before it is pulled for black box inputs.

  5. Derivative-free optimization - Wikipedia

    en.wikipedia.org/wiki/Derivative-free_optimization

    Derivative-free optimization (sometimes referred to as blackbox optimization) is a discipline in mathematical optimization that does not use derivative information in the classical sense to find optimal solutions: Sometimes information about the derivative of the objective function f is unavailable, unreliable or impractical to obtain.

  6. Tesla gambles on ‘black box’ AI tech for robotaxis - AOL

    www.aol.com/news/tesla-gambles-black-box-ai...

    Tesla aims to stun investors Thursday night with its long-awaited “robotaxi unveil," a potential milestone after a decade of Elon Musk’s unfulfilled promises to deliver self-driving vehicles.

  7. System identification - Wikipedia

    en.wikipedia.org/wiki/System_identification

    black box model: No prior model is available. Most system identification algorithms are of this type. Most system identification algorithms are of this type. In the context of nonlinear system identification Jin et al. [ 9 ] describe grey-box modeling by assuming a model structure a priori and then estimating the model parameters.

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