Insight, Not Numbers

Samet, P. A.

doi:10.1093/comjnl/15.1.88

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…In the case of decision support tools (DSTs) the estimation has to be made with more prudence. Although the famous quote from Richard Hamming [26], "The purpose of computing is insight, not numbers"-see also Vazsonyi [27], Huntington et al [28], and Samet [29]-is most likely appropriate for most decision support models, too, trust should be established on the foundation of measurable success whenever possible. (There are some exceptions in explorative analysis.)…”

Section: Models In Generalmentioning

confidence: 99%

On the Complexity of Parameter Calibration in Simulation Models

Hofmann¹

2005

Journal of Defense Modeling & Simulation

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Model calibration is the task of adjusting an already existing model to a reference system. In general, this is done by adjusting model parameters to a set of given samples from the reference system. Model calibration is often regarded to be necessary for complex simulation models in order to create a homomorphic ("structurally equivalent") abstraction of (a special aspect of) reality. This paper introduces a formal approach to model calibration. Within the frame of this formalism it is shown that the computational complexity of model calibration is NP-complete. The practical implications of these theoretic results are presumably of minor importance for most single models. However, for huge model federations the complexity of parameter calibration could draw a serious line with respect to the validation of the federation and its cost-benefit ratio.

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Section: Models In Generalmentioning

confidence: 99%

On the Complexity of Parameter Calibration in Simulation Models

Hofmann¹

2005

Journal of Defense Modeling & Simulation

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“…“[In] attempts to make Computer Science academically respectable too many people have forgotten what Computer Science is all about. The result has been a series of highly theoretical courses, devoid of practical content and application ...” (Samet, 1972).…”

Section: Irreconcilable Differences: Making the Specific Generalmentioning

confidence: 99%

“…In his 1971 lecture at University College London, P.A. Samet had asserted that “through the study of programming and programming languages we are thus led to the study of the whole field of problem solving...” (Samet, 1972, p. 89). Such rhetoric was not confined to programming or software engineering; it permeated computing as a whole.…”

Section: Irreconcilable Differences: Making the Specific Generalmentioning

confidence: 99%

Boundaries and Quandaries: Establishing a Professional Context for IT

Shapiro

1994

Information Technology &Amp; People

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The professionalization of IT has long been complicated by disagreement over the appropriate model to employ. Physicians, lawyers, scientists, engineers, artisans, and artists have all one been invoked at one time or another by one group or another as guiding examples for the development of an IT profession. Yet none of these has proved fully convincing. Discusses the different kinds of professional practice which have been likened to IT, considers why it has proved so difficult to settle on a single one, and suggests an alternative way of conceptualizing IT practice.

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Insight, Not Numbers

Cited by 2 publications

References 1 publication

On the Complexity of Parameter Calibration in Simulation Models

On the Complexity of Parameter Calibration in Simulation Models

Boundaries and Quandaries: Establishing a Professional Context for IT

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