“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.”

—  Russell L. Ackoff

Ackoff (1999, p. 34) cited in: Michael C. Jackson (2000) Systems Approaches to Management. p. 234.
1990s

Adopted from Wikiquote. Last update June 3, 2021. History

Help us to complete the source, original and additional information

Do you have more details about the quote "The effectiveness of any model used to describe and understand behavior of a particular system as a whole ultimately de…" by Russell L. Ackoff?
Russell L. Ackoff photo
Russell L. Ackoff70
Scientist 1919–2009

Related quotes

“Simulation is the use of models and/or the actual conditions of either the thing being modeled or the environment in which it operates, with the models or conditions in physical, mathematical, or some other form. The purpose of simulation is to explore the various results which might be obtained from the real system by subjecting the model to representative environments which are equivalent to, or in some way representative of, the situations it is desired to understand or investigate. Simulation may involve system hardware and the actual physical environment, or it may involve mathematical models subjected to mathematical forcing or disturbance functions representative of the systems conditions to be studied.”

Harold Chestnut (1917–2001) American engineer

Source: Systems Engineering Tools, (1965), p. 111 as cited in

“In the early ‘80’s, there was little interest in the idea of Enterprise Reengineering or and the use of formalisms and models was generally limited to some aspects of application development within the Information Systems community. The subject of "architecture" was acknowledged at that time, however, there was little definition to support the concept. This lack of definition precipitated the initial investigation that ultimately resulted in the "Framework for Information Systems Architecture." Although from the outset, it was clear that it should have been referred to as a "Framework for Enterprise Architecture," that enlarged perspective could only now begin to be generally understood as a result of the relatively recent and increased, worldwide focus on Enterprise "engineering."”

John Zachman (1934) American computer scientist

Source: Concepts of the Framework for Enterprise Architecture, 1993, p. 1

“Enterprise architecture (EA) promotes the belief that an enterprise, as a complex system, can be designed or improved in an orderly fashion achieving better overall results than ad-hoc organisation and design. EA is a co-operative effort of designers, analysts and managers and uses enterprise models in the process… enterprise models carry meaning. This resulted in requirements for the enterprise engineering process, which—if not met—can limit the viability of the process. The analysis of the same factors resulted in requirements for improved Enterprise Modelling Tools.”

Peter Bernus (1949) Hungarian-Australian computer scientist

Peter Bernus (2003) "Enterprise models for enterprise architecture and ISO9000: 2000." Annual Reviews in Control 27.2 : 211-220.

“The main object of cybernetics is to supply adaptive, hierarchical models, involving feedback and the like, to all aspects of our environment. Often such modelling implies simulation of a system where the simulation should achieve the object of copying both the method of achievement and the end result. Synthesis, as opposed to simulation, is concerned with achieving only the end result and is less concerned (or completely unconcerned) with the method by which the end result is achieved. In the case of behaviour, psychology is concerned with simulation, while cybernetics, although also interested in simulation, is primarily concerned with synthesis.
Most of the major developments in models and theories of artificial intelligence have taken place in the western world — mostly, indeed, in the US and Britain — and it was only relatively recently that "core developments", as opposed to more peripheral developments and applications, have spread over Europe and the Soviet Union.”

Frank Honywill George (1921–1997) British psychologist

George (1973) "Soviet Cybernetics, the militairy and Professor Lerner" in: New Scientist (March 15, 1973). Vol. 57, nr. 837. p. 613

“General Systems Theory is a name which has come into use to describe a level of theoretical model-building which lies somewhere between the highly generalized constructions of pure mathematics and the specific theories of the specialized disciplines. Mathematics attempts to organize highly general relationships into a coherent system, a system however which does not have any necessary connections with the "real" world around us. It studies all thinkable relationships abstracted from any concrete situation or body of empirical knowledge.”

Kenneth E. Boulding (1910–1993) British-American economist

Source: 1950s, General Systems Theory - The Skeleton of Science, 1956, p. 197: Opening sentences

“[There is a] basic problem … of building a mathematical model of thought processes, and in particular of those aspects of thought which are concerned with information and decision processes. The perceptron is one type of model -- a set of memory devices connected in random fashion-- which has not yet achieved useful results but certainly seems to be a promising approach. The self-adaptive feedback control system which goes beyond the normal servo function of controlling its output, and in addition controls the parameters by which it controls its output is another which has already achieved pragmatic results in equipment control. It may be that the question of self-adaptation is a key to the whole question of how the human functions in a decisioning situation. For in many cases the ability of the human mind to adapt itself to a changing and complex environment is beyond our present aims in model construction.”

Robert E. Machol (1917–1998) American systems engineer

p ix-x
Information and Decision Processes (1960)

“As is used in connection with systems engineering, a model is a qualitative or quantitative representation of a process or endeavor that shows the effects of those factors which are significant for the purposes being considered. Modeling is the process of making a model. Although the model may not represent the actual phenomenon in all respects, it does describe the essential inputs, outputs, and internal characteristics, as well as provide an indication of environmental conditions similar to those of actual equipment.”

Harold Chestnut (1917–2001) American engineer

Source: Systems Engineering Tools, (1965), p. 108; As cited in: Alberto Ortiz (1992, p. 13)

Grady Booch photo

“Model Driven Architecture is a style of enterprise application development and integration, based on using automated tools to build system independent models and transform them into efficient implementations.”

Grady Booch (1955) American software engineer

Attributed to Grady Booch in: Tarek M. Sobh (2008) Advances in Computer and Information Sciences and Engineering. p. 457

“The usefulness of the models in constructing a testable theory of the process is severely limited by the quickly increasing number of parameters which must be estimated in order to compare the predictions of the models with empirical results.”

Anatol Rapoport (1911–2007) Russian-born American mathematical psychologist

Source: 1960s, Prisoner's dilemma: A study in conflict and cooperation (1965), p. 150

“We build models to increase productivity, under the justified assumption that it's cheaper to manipulate the model than the real thing. Models then enable cheaper exploration and reasoning about some universe of discourse. One important application of models is to understand a real, abstract, or hypothetical problem domain that a computer system will reflect. This is done by abstraction, classification, and generalization of subject-matter entities into an appropriate set of classes and their behavior.”

Stephen J. Mellor (1952) British computer scientist

Source: MDA Distilled. Principles of Model-Driven Architecture, 2003, p. 35-36.

Related topics