People From Philadelphia

"Knowledge is the appropriate collection of information, such that it's intent is to be useful. Knowledge is a deterministic process. When someone "memorizes" information (as less-aspiring test-bound students often do), then they have amassed knowledge. This knowledge has useful meaning to them, but it does not provide for, in and of itself, an integration such as would infer further knowledge."

"The higher standard of living, the more consideration we give to the fun we derive from what we do and its meaningfulness."

"[Ackoff also developed the circular organization concept. This structure is a democratic hierarchy with three essential characteristics:] (1) the absence of an ultimate authority, the circularity of power; (2) the ability of each member to participate directly or through representation in all decisions that affect him or her directly; and (3) the ability of members, individually or collectively, to make and implement decisions that affect no one other than the decision maker or decision-makers."

"Information is data that has been given meaning by way of relational connection. This "meaning" can be useful, but does not have to be. In computer parlance, a relational database makes information from the data stored within it."

"In the spring of 1951 Churchman and I accepted appointments to (then) Case Institute of Technology in Cleveland because Case was committed to establishing an activity in Operations Research and Churchman and I had come to believe we could probably work better under this name than under the cloak of academic philosophy. By the end of 1952 we had formal approval, but not without faculty opposition, for the first doctoral program in Operations Research. From then on the Group and the program grew rapidly and flourished. Case became a mecca to which pilgrimages of operations researchers from around the world came. In 1958, Churchman, for personal reasons, migrated to the University of California at Berkeley where he established a similar activity. Academic Operations Research activities began to proliferate and flourish, many of them modeled on those at Case."

"In June of 1964 the research group and academic program moved to Penn bringing with it most of the faculty, students, and research projects. Our activities flourished in the very supportive environment that Penn and Wharton provided. The wide variety of faculty members that we were able to involve in our activities significantly enhanced our capabilities. By the mid-1960s I had become uncomfortable with the direction, or rather, the lack of direction, of professional Operations Research. I had four major complaints. First, it had become addicted to its mathematical tools and had lost sight of the problems of management. As a result it was looking for problems to which to apply its tools rather than looking for tools that were suitable for solving the changing problems of management. Second, it failed to take into account the fact that problems are abstractions extracted from reality by analysis. Reality consists of systems of problems, problems that are strongly interactive, messes. I believed that we had to develop ways of dealing with these systems of problems as wholes. Third, Operations Research had become a discipline and had lost its commitment to interdisciplinarity. Most of it was being carried out by professionals who had been trained in the subject, its mathematical techniques. There was little interaction with the other sciences professions and humanities. Finally, Operations Research was ignoring the developments in systems thinking — the methodology, concepts, and theories being developed by systems thinkers."

"The effectiveness of any model used to describe and understand behavior of a particular system as a whole ultimately depends on the degree to which that model accurately represents that system. Nevertheless, there have been and are situations in which application of deterministic or animate models to social systems have produced useful results for a short period of time. However, in a longer run, such mismatches usually result in less than desirable results because critical aspects of the social systems were omitted in the less complex model that was used."

"Data is raw. It simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself. In computer parlance, a spreadsheet generally starts out by holding data."

"A good deal of the corporate planning I have observed is like a ritual rain dance; it has no effect on the weather that follows, but those who engage in it think it does. Moreover, it seems to me that much of the advice and instruction related to corporate planning is directed at improving the dancing, not the weather."

"A system is a set of two or more elements that satisfies the following three conditions. (1) The behavior of each element has an effect on the behavior of the whole. (2) The behavior of the elements and their effects on the whole are interdependent. the way each element behaves and the way it affects the whole depends on how at least one other element behaves. (3) However subgroups of the elements are formed, each has an effect on the behavior of the whole and none has an independent effect on it."

"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."

"Most corporate mission statements are worthless.... [Corporations] often formulate necessities as objectives: For example, 'to achieve sufficient profit.' This is like a person saying his mission is to breathe sufficiently"

"Systems science and technology constitute one aspect of systems thinking, but the humanities and arts make up the other. The fact that design plays such a large part in the systemic treatment of problems makes it apparent that art has a major role in it as well. Ethics and aesthetics are integral aspects of evaluating systems... the systems approach involves the pursuit of truth (science) and its effective use (technology), plenty (economics), the good (ethics and morality), and beauty and fun (aesthetics). To compare systems methodology with that of any of the so-called ‘hard’ disciplines—for example, physics—is to misunderstand the nature of systems. The worry is not that the systems approach is not scientific in the sense which physics or chemistry or biology is, but that some try to make it scientific in that sense. To the extent they succeed, they destroy it."

"I began graduate work in the philosophy of sciences at the University of Pennsylvania in 1941 where I came under the influence of the “grand old man” of the department, the eminent philosopher E.A. Singer, Jr. Because of the informality of the department he created I began to collaborate with two younger members of the faculty, both of whom were former students of Singer, Thomas A. Cown and C. West Churchman. Three aspects of Singer's philosophy had a particularly strong influence on me. First, that the practice of philosophy, its application, was necessary for the development of philosophy itself. Second, that effective work on “real” problems required an interdisciplinary approach. Third, that the social area needed more work than any of the other domains of science and that this was the most difficult. We developed a concept of a research group that would enable us to practice philosophy in the social domain by dealing with real problems. The organization we designed was called “The Institute of Experimental Method.” With the participation of a number of other graduate students in philosophy and a few other members of the faculty we started this institute on a completely informal basis."

"Managers are not confronted with problems that are independent of each other, but with dynamic situations that consist of complex systems of changing problems that interact with each other. I call such situations messes. Problems are extracted from messes by analysis. Managers do not solve problems, they manage messes."

"When a mess, which is a system of problems, is taken apart, it loses its essential properties and so does each of its parts. The behavior of a mess depends more on how the treatment of its parts interact than how they act independently of each other. A partial solution to a whole system of problems is better than whole solutions of each of its parts taken separately."

"We have also come to realize that no problem ever exists in complete isolation. Every problem interacts with other problems and is therefore part of a set of interrelated problems, a system of problems I choose to call such a system a mess ... Furthermore solutions to most problems produce other problems... a financial problem, a maintenance problem, and conflict among family members for its use."

"English does not contain a suitable word for 'system of problems.' Therefore, I have had to coin one. I choose to call such a system a mess"

"The effort to get rid of what we do not want is reactive, retrospectively oriented problem solving. The effort to obtain what we want is proactive, prospectively oriented problem solving."

"Problem solving has traditionally been taken to be an essential function of management. Through systems thinking, however, we have come to doubt the existence of problems and solutions to them."

"The synthetic mode of thought, when applied to systems problems, is called the systems approach. In this approach a problem is not solved by taking it apart but by viewing it as a part of a larger problem."

"In the Systems Age we tend to look at things as part of larger wholes rather than as wholes to be taken apart. This is the doctrine of expansionism. Expansionism brings with it the synthetic mode of thought much as reductionism brought with it."

"In reactive problem solving we walk into the future facing the past — we move away from, rather than toward, something. This often results in unforseen consequences that are more distasteful than the deficiencies removed."

"Over time, every way of thinking generates important problems that it cannot solve."

"Because the Systems Age is teleologically oriented, it is preoccupied with systems that are goal-seeking or purposeful, that is, systems that can display choice of either means or ends, or both. It is interested in purely mechanical systems only."

"The measure of information to be developed here will also be related to freedom of choice; that is, it will be a function of the probabilities of choice associated with the alternative courses of action... The measure developed here is a function of m, the number of alternative potential courses of action."

"Man seeks objectives that enable him to convert the attainment of every goal into a means for the attainment of a new and more desirable goal. The ultimate objective in such a sequence cannot be obtainable; otherwise its attainment would put an end to the process. An end that satisfies these conditions is an ideal... Thus the formulation and pursuit of ideals is a means by which to put meaning and significance into his life and into the history of which he is part."

"Successful problem solving requires finding the right solution to the right problem. We fail more often because we solve the wrong problem than because we get the wrong solution to the right problem."

"A subject may be said to be in such a state if he (it) wants something and has unequally efficient alternative ways of trying to get it."

"Because a cause was taken to be sufficient for its effect, nothing was required to explain the effect other than the cause. Consequently, the quest for causes was environment-free. It employed what we now call 'closed-system' thinking. Laws. —like that of freely falling bodies—-were formulated so as to exclude environmental effects."

"[The environment of a system is] a set of elements and their relevant properties, which elements are not part of the system, but a change in any of which can cause or produce a change in the state of the system."

"In proactive problem solving we specify where we want to go, and we try to get there. Although such an approach does not eliminate the possibility of overlooking relevant consequences of our solutions, it reduces the probability of doing so. The more ultimate the desired outcome we specify, the more likely we are to consider the intermediate and long-run consequences of our immediate actions. The more immediate the source of dissatisfaction we try to get rid of, the less likely we are to take account of relevant consequences. Therefore, the chances of overlooking relevant consequences are minimized when we formulate a problem in terms of approaching one or more ideals."

"Planning is the design of a desired future and of effective ways of bringing it about. It is an instrument that is used by the wise, but not by the wise alone. When conducted by lesser men it often becomes an irrelevant ritual that produces short-run peace of mind, but not the future that is longed for."

"Recently I asked three corporate executives what decisions they had made in the last year that they would not have made were it not for their corporate plans. All had difficulty in identifying one such decision. Since each of their plans were marked 'secret' or 'confidential', I asked them how their competitors might benefit from the possession of their plans. Each answered with embarrassment that their competitors would not benefit. Yet these executives were strong advocates of corporate planning."

"The basic managerial idea introduced by systems thinking, is that to manage a system effectively, you might focus on the interactions of the parts rather than their behavior taken separately."

"[Mistake 2:] Managers need all the information they want. Most MIS designers "determine" what information is needed by asking managers what information they would like to have. This is based on the assumption that managers know what information they need and want."

"My experience indicates that most managers receive much more data (if not information) than they can possibly absorb even if they spend all of their time trying to do so. Hence they already suffer from an information overload. They must spend a great deal of time separating the relevant documents. For example, I have found that I receive an average of 43 hours of unsolicited reading material each week. The solicited material is usually half again this amount."

"Unless the information overload to which managers are subjected is reduced, any additional information made available by an MIS cannot be expected to be used effectively."

"A system is more than the sum of its parts; it is an indivisible whole. It loses its essential properties when it is taken apart. The elements of a system may themselves be systems, and every system may be part of a larger system."

"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 word model is used as a noun, adjective, and verb, and in each instance it has a slightly different connotation. As a noun "model" is a representation in the sense in which an architect constructs a small-scale model of a building or a physicist a large-scale model of an atom. As an adjective "model" implies a degree or perfection or idealization, as in reference to a model home, a model student, or a model husband. As a verb "to model" means to demonstrate, to reveal, to show what a thing is like."

"Scientific models have all these connotations. They are representations of states, objects, and events. They are idealized in the sense that they are less complicated than reality and hence easier to use for research purposes. These models are easier to manipulate and "carry" than the real thing. The simplicity of models, compared with reality, lies in the fact that only the relevant properties of reality are represented."

"Because we cannot yet (1) characterize all the possible experimental designs along quantitative scales and (2) generate cost-of-error functions, comparisons must be made in specific contexts rather than by use of analytic optimizing."

"The extensive literature addressed to the definition or characterization of science is filled with inconsistent points of view and demonstrates that an adequate definition is not easy to attain. Part of the difficulty arises from the fact that the meaning of science is not fixed, but is dynamic. As science has evolved, so has its meaning. It takes on a new meaning and significance with successive ages."

"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"

"Every culture has a shared pattern of thinking. It is the cement that holds a culture together, gives it unity. A culture's characteristic way of thinking is imbedded in its concept of the nature of reality, its world view."

"A great deal of study has been directed to denning 'best decisions,' particularly since the pioneering work of mathematical statisticians (such as Wald), of mathematicians (such as von Neumann), of economists (such as Arrow)... The main effect of this development on the practice of OR has been the growing realization that there are decision objectives other than maximizing expected return and minimizing maximum loss. That is, in many practical situations there are criteria of optimality that are more appropriate than these two mentioned."

"A problem never exists in isolation; it is surrounded by other problems in space and time. The more of the context of a problem that a scientist can comprehend, the greater are his chances of finding a truly adequate solution."

"I do not deny that most managers lack a good deal of information that they should have, but I do deny that this is the most important informational deficiency from which they suffer. It seems to me that they suffer more from an overabundance of irrelevant information."

"… All other languages can be translated into the thing-language, but the thing-language cannot be translated into any other language. Its terms can only be reduced to what are called "ostensive" definitions. These consist merely of pointing or otherwise evoking a direct experience. Hence, the thing-language is absolutely basic. Out of this basic language, we build up the other languages of the sciences, beginning with the language of physics, and proceeding to biology, psychology, and the social sciences."