A great deal of study has been directed to denning 'best decisions,' particularly since the pioneering work of mathematical statisticians (such as Wa… - Russell L. Ackoff

Most managers have some conception of at least some of the types of decisions they must make. Their conceptions, however, are likely to be deficient in a very critical way, a way that follows from an important principle of scientific economy: The less we understand a phenomenon, the more variables we require to explain it.

The systems approach to problems focuses on systems taken as a whole, not on their parts taken separately. Such an approach is concerned with total- system performance even when a change in only one or a few of its parts is contemplated because there are some properties of systems that can only be treated adequately from a holistic point of view. These properties derive from the relationship between parts of systems: how the parts interact and fit together

The Machine Age’s commitment to cause and effect was the source of many dilemmas, including the one involving free will. At the turn of the century the American philosopher E.A. Singer, Jr., showed that science had, in effect, been cheating. It was using two different relationships but calling both cause and effect. He pointed out, for example, that acorns do not cause oaks because they are not sufficient, even though they are necessary, for oaks. An acorn thrown into the ocean, or planted in the desert or an Arctic ice cap does not yield an oak. To call the relationship between an acorn and an oak ‘probabilistic’ or ‘non deterministic causality,’ as many scientists did, was cheating because it is not possible to have a probability other than 1.0 associated with a cause; a cause completely determines its effect. Therefore, Singer chose to call this relationship ‘producer-product’ and to differentiate it from cause-effect.