Explores the use of computer programs to simulate the behaviour of complex, changing systems, such as weather forecasting or the environmental impact of pesticides. This introduction is aimed at students in disciplines ranging from biology to engineering and chemistry.
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A_HOLD AA genotype adult age classes alleles assume behavior BIRTH RATE calculated chaos cohort CONC concentration constant Cubic Meter cumulative death rate demand curve density derivative develop di INIT diagram disk dynamic modeling eggs equation example extraction feedback processes firm fishery flow FOOD GOAL SEEKING Hardy-Weinberg law increase initial input INST INTEREST_RATE inventory isoquant marginal cost maximize maximum mental models Meter per Minute Moles per Cubic NFLOWS nitrogen dioxide nonlinear Number of Balls Number of Individuals optimal Oscillator OUTFLOWS output level ozone parameter Period Pollutants population density positive feedback predators present value previous chapter PREY problem production function profit-maximizing random reaction reaction rate constant relationships reserve revenue Run the model scarcity rent sensitivity sheep simulation STELLA II model step survival fraction survival rate value of profits velocity weight zebra mussel zero