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 Complex Adaptive Systems. Introduction to differences between complex and simple systems (predictability, non-linearity, threshold effects, etc.). Overview of common models for complexity, including landscapes, cellular automata, and the like. Implications of complexity for understanding, designing, dialoging with, and attempting to guide integrated human/natural/built systems. Attempts by management disciplines (Senge’s “learning organizations” and theories of the network centric firm) and resource governance regimes (adaptive management) to adapt to complexity.  

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