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Nonlinear Difference Equations - Theory with Applications to Social Science Models (Hardcover, 2003 ed.)
Loot Price: R2,931
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Nonlinear Difference Equations - Theory with Applications to Social Science Models (Hardcover, 2003 ed.)
Series: Mathematical Modelling: Theory and Applications, 15
Expected to ship within 10 - 15 working days
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It is generally acknowledged that deterministic formulations of dy
namical phenomena in the social sciences need to be treated
differently from similar formulations in the natural sciences.
Social science phe nomena typically defy precise measurements or
data collection that are comparable in accuracy and detail to those
in the natural sciences. Con sequently, a deterministic model is
rarely expected to yield a precise description of the actual
phenomenon being modelled. Nevertheless, as may be inferred from a
study of the models discussed in this book, the qualitative
analysis of deterministic models has an important role to play in
understanding the fundamental mechanisms behind social sci ence
phenomena. The reach of such analysis extends far beyond tech nical
clarifications of classical theories that were generally expressed
in imprecise literary prose. The inherent lack of precise knowledge
in the social sciences is a fun damental trait that must be
distinguished from "uncertainty. " For in stance, in mathematically
modelling the stock market, uncertainty is a prime and
indispensable component of a model. Indeed, in the stock market,
the rules are specifically designed to make prediction impossible
or at least very difficult. On the other hand, understanding
concepts such as the "business cycle" involves economic and social
mechanisms that are very different from the rules of the stock
market. Here, far from seeking unpredictability, the intention of
the modeller is a scientific one, i. e."
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