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Computer Science - Theoretical Computer Science | Dynamic Modeling

Dynamic Modeling

Hannon, Bruce, Ruth, Matthias

Originally published as a monograph

2nd ed. 2001, XVIII, 410 p. With online files/update.

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Computer models offer a means of interpreting and analyzing the dynamics of real-world systems ranging from population growth to ozone depletion and a new section on modeling in genetics. Dynamic Modeling introduces an approach to modeling that makes it a more practical, intuitive endeavor. The book enables readers to convert their understanding of a phenomenon to a computer model, and then to run the model and let it yield the inevitable dynamic consequences built into the structure of the model. Dynamic Modeling uses STELLA software to develop simulation models. Part I provides an introduction to modeling dynamic systems. Part II offers general methods for modeling. Parts III through VIII apply these methods to model real-world phenomena from chemistry, genetics, ecology, economics, and engineering. Dynamic Modeling offers a clear, approachable introduction to the modeling process, and will be of interest in any field where real problems can be illuminated by computer simulation.

Content Level » Research

Keywords » Dynamics - chaos - computer simulation - genetics - model - modeling - natural selection - simulation

Related subjects » Life Sciences - Public Health - Systems Biology and Bioinformatics - Theoretical Computer Science

Table of contents 

1 Introduction.- 1 Modeling Dynamic Systems.- 1.1 Model Components.- 1.2 Dynamic Modeling as a Skill and Art.- 1.3 Modeling in STELLA.- 1.4 Principles of Modeling.- 2 Some General Methods for Modeling.- 2 Four-Model Set.- 2.1 Stimulus-Response Model.- 2.2 Self-Referencing Model.- 2.3 Goal-Seeking Model.- 2.4 Goal-Setting Model.- 2.5 Examples.- 2.5.1 Exponential Decay of a Stock.- 2.5.2 Newtonian Cooling.- 3 Gradual Development of a Dynamic Model.- 3.1 Modeling Industrialization for a Simple Agrarian Society.- 3.2 Impacts of Per Capita Food Consumption on Population Growth.- 3.3 Adding Agriculture.- 3.4 Adding Industry.- 4 Two Independent Variables.- 4.1 Population Cohorts.- 4.1.1 Basic Cohort Model.- 4.1.2 Population Cohort Array.- 4.1.3 U.S. Population Growth.- 4.2 River Toxins.- 5 Randomness.- 5.1 Flipping a Coin.- 5.2 Intoxication Model.- 6 Positive and Negative Feedback.- 6.1 The Basic Model.- 6.2 Positive Feedback with Fixed Points.- 6.3 Elaborations.- 7 Derivatives and Lags.- 7.1 Introduction.- 7.2 Applications of Derivatives and Lags.- 7.2.1 Simple Population Model.- 7.2.2 Two-Population Model.- 3 Chemistry Models.- 8 The Law of Mass Action.- 8.1 Breakdown of Nitrogen Dioxide into Nitrogen Oxide and Oxygen.- 8.2 Stratospheric Ozone Depletion.- 9 Chance-Cleland Model for Enzyme-Substrate Interaction.- 10 The Olsen Oscillator.- 4 Genetics Models.- 11 Mating of Alleles.- 11.1 Heterozygosity and Disease Resistance.- 11.2 The Mating of Two Alleles into a Genotype: Proving the Hardy-Weinberg Law.- 12 Natural Selection and Mutation.- 13 Artificial Worms.- 5 Ecological Models.- 14 Robin Population.- 15 Two-Stage Insect Model.- 16 The Zebra Mussel.- 17 Single Cell Forest.- 18 Predator-Prey Models.- 18.1 Basic Model of Predator-Prey Interactions.- 18.2 Spatial Predator-Prey Model.- 19 Epidemic Modeling.- 20 Reestablishment of Wolves.- 21 Lyme Disease.- 22 Tragedy of the Commons.- 6 Economic Models.- 23 Introduction to Modeling Economic Processes.- 24 The Competitive Firm.- 25 The Monopolistic Firm.- 25.1 Basic Model.- 25.2 Taxing Monopolies.- 26 Competitive Equilibrium.- 27 Substitution.- 27.1 Isoquants.- 27.2 Finding the Profit-Maximizing Output Level and Input Combinations.- 28 Time Value.- 29 Opportunity Cost.- 30 Optimal Tree Cutting.- 31 Fisheries Reserve Model.- 32 Dynamic Scarcity.- 32.1 Competitive Scarcity.- 32.2 Monopoly Scarcity.- 33 Market Game.- 34 Pig Cycle.- 7 Engineering Models.- 35 The Assembly Line.- 35.1 Basic Model.- 35.2 Car Assembly Line.- 36 Models of Gravity and Acceleration.- 36.1 Falling Rock.- 36.2 Projectile Motion.- 36.3 Mass-Damper-Spring.- 36.4 Mechanical Amplifier.- 37 Chaos.- 37.1 A New Paradigm.- 37.2 Jenson Chaos.- 37.3 Lorenz Chaos.- 37.4 Two-Well Chaos.- 8 Conclusion.- 38 Beginning a Dialog.- Appendixes.- A1 System Requirements.- A1.1 Macintosh.- A1.2 Windows.- A2 Quick Help Guide.- A2.1 Overview of the STELLA(r) Operating Environment.- A2.2 Drawing an Inflow to a Stock.- A2.3 Drawing an Outflow from a Stock.- A2.4 Replacing a Cloud with a Stock.- A2.5 Bending Flow Pipes.- A2.6 Repositioning Flow Pipes.- A2.7 Reversing Direction of a Flow.- A2.8 Flow Define Dialog—Builtins.- A2.9 Moving Variable Names.- A2.10 Drawing Connectors.- A2.11 Defining Graphs and Tables.- A2.12 Dynamite Operations on Graphs and Tables.- References.

System requirements 

MAC Minimum Requirements: MacOS7.1, 68040 Proc., 16MB RAM, 35MB HD Space, Color Display running at least 256 colors. MAC Recommended Requirements: 120MHz PowerPC or better, MacOS 8.1 or higher, 32 MB RAM or higher, 35 MB HD Space,Color Display running 'thousands of colors' or more, QuickTime(TM) 3.0 or higher. WIN Minimum Requirements: Windows 95/98/Millennium Ed./NT 4.0/2000, Pentium-Class Proc., 16MB RAM, 30 MB HD Space, VGA Display with at least256 colors. WIN Recommended Requirements: Windows 95/98/Millennium Ed./NT 4.0/2000, 233 MHz Pentium-Class Proc. or better, 64 MB RAM, 30 MB HD Space, SVGA Display with 16 bit color or better, Soundblaster or compatiblesound card, QuickTime(TM) 3.0 or higher.

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