“Principle of causality is fundamental to human thinking, and it has been observed experimentally that this assumption leads to complex hypothesis formation by human subjects attempting to solve comparatively simple problems involving a causal randomly generated events”

— Brian R. Gaines

Introduction.
On the Complexity of Causal Models (1977)

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British computer scientist 1938

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“Knowledge accumulated during recent decades challenges and contradicts assumptions which are still axiomatic in conventional organizational theory. Unfortunately, those classical principles of organization — derived from inappropriate models, unrelated to the political, social, economic, and technological milieu, and based on erroneous assumptions about behavior — continue to influence our thinking about the management of the human resources of industry. Management's attempts to solve the problems arising from the inadequacy of these assumptions have often involved the search for new formulas, new techniques, new procedures. These generally yield disappointing results because they are adjustments to symptoms rather than causes. The real need is for new theory, changed assumptions, more understanding of the nature of human behavior in organizational settings.”

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“The postulation of a principle of causality, “to every effect there is a cause,” has been a continuing central problem for philosophy (Popper, 1972). Its role as a source of contention in modern science (Jauch, 1973) is epitomized by Einstein’s remark that, “I can’t believe that God plays dice.” Many of the arguments about the application of the principle are very relevant to systems science and to problems of system identification and machine learning, on the one hand, and to epistemology and behavioural psychology, on the other. In current system science the theory of causal deterministic systems is most well developed and generally applied, while the theory of modeling with alternative structures, e. g., stochastic automata, indeterminate automata, products of asynchronous automata, etc., has not been developed to the same degree.”

Brian R. Gaines (1938) British computer scientist

Introduction.
On the Complexity of Causal Models (1977)

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