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I__. - International Military Testing Association

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factors from both enemy and friendly forces, the engineering<br />

modeler intended to deal with the amorphous area of human<br />

factors through a balanced omission: Since neither side showed<br />

human factors, the effect was balanced and should have had no<br />

effect on the tactical or engineering conclusions drawn from the<br />

model's output. In early tactical wargames and engineering<br />

models, this approach was reasonable because the computers of<br />

the day were functional only in aggregated, t‘low resolutiont8<br />

modeling. Low resolution models provided valuable tactical<br />

insights, but little information about specific systems.<br />

Engineering models were also simple: one tank fired at another<br />

in a straightforward duel format.<br />

As wargames became automated, the ability to conduct<br />

high-resolution simulation allowed the tactical and engineering<br />

'modeling of actual systems in dynamic combat. Automation of<br />

wargames also made omission of human factors both unnecessary<br />

and problematic. "Balanced omission" of human factors in<br />

systems development combat models is more accurately described<br />

as the actual modelinq of the human as 100% effective. By<br />

failing to properly consider the human component of systems<br />

performance, the human has an assumed value of 100% effectiveness.<br />

It is generally accepted, even among combat modelers, that<br />

this assumption has the effect of exaggerating systems performance,<br />

and accelerating the tactical pace of a battle.<br />

The two original clients of the combat model, wargarners and<br />

hardware engineers, have had an understandable lack of interest<br />

in representing the human factor component of systems performance<br />

as anything other than 1.0. Human performance parameters<br />

are still much less defined than hardware performance parameters,<br />

and no clear consensus has emerged as to how human factors<br />

should be modeled. The case for improving the representation of<br />

human factors in systems development combat models focuses on<br />

the impact of modeling humans as 100% effective. Notional<br />

systems over-perform and technologies and systems candidates are<br />

eliminated in an occult process long before their interaction<br />

with the human dimension can be measured.<br />

There are additional dimensions to the dilemma of human<br />

factors in combat models. Combat model proponents have a<br />

somewhat justified view of their critics as romantics who wax<br />

philosophically about the value of such human traits as leadership,<br />

morale and courage on the the battlefield, but cannot<br />

quantify these dimensions in order that they be shown as "independent<br />

variables" in the outcome of analytical combat.<br />

A proposed approach for change is outlined in figure 1. A<br />

first step would be to identify the combat models most often<br />

used in the design and selection of systems. While this step<br />

may appear obvious, there could be a drift toward models which<br />

have little impact on systems development, but are easily<br />

modified for human dimensions. systems development models are<br />

415

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