Dealing with Complexity: An Introduction to the Theory and Application of Systems Science
The text offers a framework for understanding the underlying theory of systems science to assist decision makers in resolving a wide range of real-world problems in their fields. Various approaches to problem solving in the natural and social sciences are described, including the systematic view model and model decomposition. The book also presents clear and coherent accounts of systems intervention, critical systems thinking, and quantification of systems science. Philosophical issues in systems science are comprehensively covered, with discussion on such topics as ontology, epistemology, and methodology.
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ORIGIN AND EVOLUTION
CHAPTER TWO SYSTEMS AND COMPLEXITY
7 other sections not shown
achieved activity alternative appropriate arima assessed attributes autocorrelation behavior Chapter Nine Checkland complexity concepts conceptual model considered context correlogram decision defined described developed diagrammatic differential equations digraph discussed dynamic effect elements environment epistemology estimated example f-ratio feedback Flood graph hard systems hyponatremia ideas identified initial input integration interactions interpretive investigation linear logical loop measurement metalanguage minitab modeling approaches nature nonlinear objectives ontology operations operations research organization organizational output paradigm parameters partial autocorrelation presented problematic situations purposes qualitative quantitative rate of change real-world recursive relationships relevant represent representation rich picture root definition scale shown in Figure simulation social sodium soft situations soft systems methodology solution statistical structured situations studies subsystems symbols system diagrams system identification systems science systems terms systems theory systems thinking techniques transfer function Urine validity values variables
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