“The third model regards mind as an information processing system. This is the model of mind subscribed to by cognitive psychologists and also to some extent by the ego psychologists. Since an acquisition of information entails maximization of negative entropy and complexity, this model of mind assumes mind to be an open system.”

— Thaddus E. Weckowicz

Source: Models of Mental Illness (1984), p. 102

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Thaddus E. Weckowicz 22

Canadian psychologist 1919–2000

L. K. Samuels (1951) American writer

Source: In Defense of Chaos: The Chaology of Politics, Economics and Human Action, (2013), p. 28.

“Grossly oversimplifying, the following models of mind can be discerned in the welter of contemporary psychological theorizing. The first model of the mind is mind as an energy system. This is represented by early psychoanalytical theory, particularly by its dynamic and economic versions. It has also represented by ecologists (Tinbergen, 1951) and by drive reduction theorists. In this model, the stress is on the concept of motivation, conceived as drive. Common to the theories that regard mind as an energy system are the ideas of homeostasis and closed system. The metaphor of energy is often used by motivation theorists who view drives, instincts, and needs as types of forces.”

Thaddus E. Weckowicz (1919–2000) Canadian psychologist

Source: Models of Mental Illness (1984), p. 102

“Information engineering has been defined with the reference to automated techniques as follows: An interlocking set of automated techniques in which enterprise models, data models and process models are built up in a comprehensive knowledge-base and are used to create and maintain data-processing systems.”

James Martin (author) (1933–2013) British information technology consultant and writer

Source: Information Engineering (1989), p. viii

“The classical support for as-if models in the social sciences stems from the economist Milton Friedman (1953), who, like the psychologist B. F. Skinner, saw little value in modeling cognitive processes. In contrast, our aim is to understand actual decision processes, not only the outcomes. There is a good reason for this. Without modeling the cognitive blade of Simon's scissors, it is utterly impossible to determine in what environments heuristics succeed, that is, their ecological rationality.”

Gerd Gigerenzer Heuristics

Gerd Gigerenzer, Ralph Hertwig, and Thorsten Pachur, Heuristics: The Foundations of Adaptive Behavior, 2015.

“As information systems play a more active role in the management and operations of an enterprise, the demands on these systems have also increased. Departing from their traditional role as simple repositories of data, information systems must now provide more sophisticated support to manual and automated decision making; they must not only answer queries with what is explicitly represented in their Enterprise Model, but must be able to answer queries with what is implied by the model. The goal of the TOVE Enterprise Modelling project is to create the next generation Enterprise Model, a Common Sense Enterprise Model. By common sense we mean that an Enterprise Model has the ability to deduce answers to queries that require relatively shallow knowledge of the domain.”

Mark S. Fox (1952) Canadian computer scientist and Professor of Industrial Engineering

Source: Methodology for the Design and Evaluation of Ontologies (1995), p. 1: Introduction

“Obviously, the faster we process information, the more rich and complex our models or glosses — our reality-tunnels — will become.”

Robert Anton Wilson book Quantum Psychology

Quantum Psychology : How Brain Software Programs You and Your World (1990), p. 45
Context: Obviously, the faster we process information, the more rich and complex our models or glosses — our reality-tunnels — will become.
Resistance to new information, however, has a strong neurological foundation in all animals, as indicated by studies of imprinting and conditioning. Most animals, including most domesticated primates (humans) show a truly staggering ability to "ignore" certain kinds of information — that which does not "fit" their imprinted/conditioned reality-tunnel. We generally call this "conservatism" or "stupidity", but it appears in all parts of the political spectrum, and in learned societies as well as in the Ku Klux Klan.

“No scientist is as model minded as is the statistician; in no other branch of science is the word model as often and consciously used as in statistics.”

Hans Freudenthal (1905–1990) Dutch mathematician

Source: The Concept and the Role of the Model in Mathematics and Natural and Social Sciences (1961), p. 79; Part of the article "Models in applied probability", published earlier in Synthese, 12 (1960), p. 204-210.

“The creation and implementation of integrated information systems involves a variety of collaborators including people from specialist departments, informatics, external advisers and manufacturers. They need clear rules and limits within which they can process their individual sub-tasks, in order to ensure the logical consistency of the entire project. Therefore, an architecture needs to be established to determine the components that make up the information system and the methods to be used to describe it. The ARIS architecture developed in this book is described in concrete terms as an information model within the entity-relationship approach. This information model provides the basis for the systematic and rational application of methods in the development of information systems. It also serves as the basis for a repository in which the enterprise's application - specific data, organization and function models can be stored. The ARIS architecture constitutes a framework in which integrated applications systems can be developed, optimized and converted into EDP - technical implementations. At the same time, it demonstrates how business economics can examine and analyze information systems in order to translate their contents into EDP-suitable form.”

August-Wilhelm Scheer (1941) German business theorist

August-Wilhelm Scheer, I. Cameron (1992) Architecture of integrated information systems: foundations of enterprise modelling. Abstract.

“The fourth model of mind, closely related to the previous one, is the structuralist model, as represented by Piaget, Chomsky, Levi-Strauss, and the structural-developmental version of the psychoanalytical theory. This model assumes the presence of innate structures or potentialities to develop such structures. These structures are not directly experienced or observed; rather, they are inferred from the organization of cognitive processes and behaviour and also from the regularity and orderliness of development. The development proceeds through The development proceeds through well defined stages. There are two versions of the structuralist development model. In the preformist version, the structures exist in potential form at birth and only actualize themselves in the maturation-development process. In the epigenetic version, the structures develop in a dialectic interaction with the environment. The final outcome us not completely determined at births but also depends on the environmental factors.”

Thaddus E. Weckowicz (1919–2000) Canadian psychologist

Source: Models of Mental Illness (1984), p. 102-103

“When taken as a way of modeling cognitive architecture, connectionism really does represent an approach that is quite different from that of the classical cognitive science that it seeks to replace. Classical models of the mind were derived from the structure of Turing and Von Neumann machines. They are not, of course, committed to the details of these machines as exemplified in Turing's original formulation or in typical commercial computers—only to the basic idea that the kind of computing that is relevant to understanding cognition involves operations on symbols.. In contrast, connectionists propose to design systems that can exhibit intelligent behavior without storing, retrieving, or otherwise operating on structured symbolic expressions. The style of processing carried out in such models is thus strikingly unlike what goes on when conventional machines are computing some function.”

Jerry Fodor (1935–2017) American philosopher

Jerry A. Fodor, and Zenon W. Pylyshyn. "Connectionism and cognitive architecture: A critical analysis." Cognition 28.1-2 (1988): 3-71.

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