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Economists model the ways in which humans meet their needs using given endowments of resources and technologies.  This book explores the dynamic processes in economic systems, concentrating on the extraction of resources that are required to meet economic needs. Using the STELLA® software, Modeling Dynamic Economic Systems applies methods of computer modeling to a wide range of real-world economic phenomena, demonstrating how to make informed decisions about economic performance and environmental quality.  Sections of the book cover: methods for dynamic modeling economics with special emphasis on the microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models.  The book does not require a substantial background in mathematics or computer science and encourages all students and scholars to actively incorporate modeling into their education and research.  A save-disabled version of STELLA and the computer models of this book are available at www.iseesystems.com/modelingeconomicsystems.   About the Authors Matthias Ruth is Roy F. Weston Chair in Natural Economics at the University of Maryland, College Park. Bruce Hannon is Jubilee Professor (Emeritus) of Liberal Arts and Sciences at the University of Illinois, Urbana-Champaign.   About the Series The availability of powerful, intuitive software for developing and running computer models of real-world phenomena promises a revolution in studying, teaching and thinking about complex problems that range from the functioning of a cell to that of an ecosystem to that of a national economy.  The books in the series Modeling Dynamic Systems promote the spread of “systems thinking” by integrating state-of-the-art modeling techniques with the theories and concepts of specific disciplines or interdisciplinary topics.  The unifying theme of the series is the ease, power, and transparency of model building.

Economics -- Computer simulation. --- Economics -- Mathematical models. --- Business & Economics --- Economic History --- Economic Theory --- Economics --- Computer simulation. --- Mathematical models. --- Economic theory --- Political economy --- Computers. --- Complexity, Computational. --- Economic theory. --- Environmental economics. --- Economics. --- Environmental Economics. --- Environmental Monitoring/Analysis. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Complexity. --- Models and Principles. --- Economics, Mathematical --- Social sciences --- Economic man --- Engineering. --- Computer science. --- Monitoring/Environmental Analysis. --- Informatics --- Science --- Construction --- Industrial arts --- Technology --- Environmental quality --- Environmental aspects --- Economic aspects --- Environmental monitoring. --- Computational complexity. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Complexity, Computational --- Electronic data processing --- Biomonitoring (Ecology) --- Ecological monitoring --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Measurement --- Monitoring

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Biology --- Hygiene. Public health. Protection --- Epidemiology --- Infectious diseases. Communicable diseases --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- vormgeving --- biologie --- gezondheidszorg --- informatica --- besmettelijke ziekten --- epidemiologie --- simulaties --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

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Many biologists and ecologists have developed models that find widespread use in theoretical investigations and in applications to organism behavior, disease control, population and metapopulation theory, ecosystem dynamics, and environmental management.  This book captures and extends the process of model development by concentrating on the dynamic aspects of these processes and by providing tools that virtually anyone with basic knowledge in the Life Sciences can use to develop meaningful dynamic models.  Examples of the systems modeled in the book range from models of cell development, the beating heart, the growth and spread of insects, spatial competition and extinction, to the spread and control of epidemics, including the conditions for the development of chaos.  Key Features ·         Easy-to-learn and easy-to-use software ·         Includes examples from many subdisciplines of biology, covering models of cells, organisms, populations, and metapopulations ·         No prior computer or programming experience required Key Benefits ·         Learn how to develop modeling skills and system thinking on your own rather than use models developed by others ·         Easily run models under alternative assumptions and investigate the implications of these assumptions for the dynamics of the biological system being modeled ·  Develop skills to assess the dynamics of biological systems.

Economic sociology --- Demography --- Mathematics --- General biochemistry --- General ecology and biosociology --- Biology --- Computer science --- biochemie --- biologie --- computers --- demografie --- informatica --- ecologie --- sociale economie --- wiskunde --- insecten --- computerkunde

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Models help us understand the dynamics of real-world processes by using the computer to mimic the actual forces that are known or assumed to result in a system's behavior. This book does not require a substantial background in mathematics or computer science.

Biomathematics. Biometry. Biostatistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Compétition biologique --- Modèle mathématique --- Biological systems --- Computer simulation. --- Mathematical models. --- Basic Sciences. Mathematics --- Mathematical Models, Simulation Models. --- Animal population --- Biological competition --- population dynamics --- population genetics --- Mathematical models --- Ecology . --- Biomathematics. --- Population. --- Biochemistry. --- Computers. --- Ecology. --- Mathematical and Computational Biology. --- Population Economics. --- Biochemistry, general. --- Models and Principles. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Biology --- Chemistry --- Medical sciences --- Human population --- Human populations --- Population growth --- Populations, Human --- Economics --- Human ecology --- Sociology --- Demography --- Malthusianism --- Mathematics --- Balance of nature --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Composition --- Ecology --- Biosystems --- Systems, Biological --- System theory --- Systems biology --- Philosophy --- Biological systems - Computer simulation. --- Biological systems - Mathematical models. --- BIOLOGICAL SYSTEMS --- COMPUTER SIMULATION --- MATHEMATICAL MODELS

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Quantitative methods (economics) --- Operational research. Game theory --- Economics --- #TELE:SISTA --- Economics, Mathematical --- Economic theory --- Political economy --- Social sciences --- Economic man --- Computer simulation --- Mathematical models --- Economics - Computer simulation --- Economics - Mathematical models