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Modeling Dynamic Economic Systems
Author: Matthias Ruth, Bruce Hannon
Publisher: Springer Science & Business Media
ISBN: 1461422094
Pages: 326
Year: 2012-02-08
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This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.
Dynamic Modeling
Author: Bruce Hannon, Matthias Ruth
Publisher: Springer
ISBN: 3662259893
Pages: 248
Year: 2013-12-21
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Feedback Systems
Author: Karl Johan Aström, Richard M. Murray
Publisher: Princeton University Press
ISBN: 1400828732
Pages: 408
Year: 2010-04-12
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This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. They provide exercises at the end of every chapter, and an accompanying electronic solutions manual is available. Feedback Systems is a complete one-volume resource for students and researchers in mathematics, engineering, and the sciences. Covers the mathematics needed to model, analyze, and design feedback systems Serves as an introductory textbook for students and a self-contained resource for researchers Includes exercises at the end of every chapter Features an electronic solutions manual Offers techniques applicable across a range of disciplines
Modelling and Simulation
Author: Louis G. Birta, Gilbert Arbez
Publisher: Springer Science & Business Media
ISBN: 1447127838
Pages: 437
Year: 2013-10-08
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This textbook presents a practical introduction to the fundamental aspects of modelling and simulation. It provides the necessary foundations both for those wishing to learn about this methodology and also for those who have a need to apply it in their work. Illustrative examples are drawn from projects formulated within the domains of both DEDS and CTDS. Features: presents a project-oriented perspective; describes an activity-based conceptual modelling framework (ABCmod) for DEDS; includes a new chapter that presents a novel world view, the Activity-Object world view, which eases the translation of a conceptual model specification in the ABCmod framework into a simulation program; contains numerous illustrative examples, useful algorithms, exercises and projects; includes a primer on probability, a concise guide to the GPSS programming environment and an overview of relevant MATLAB features in the appendices; provides supplementary software and teaching support material at an associated website.
Guide to Modeling and Simulation of Systems of Systems
Author: Bernard P. Zeigler, Hessam S. Sarjoughian
Publisher: Springer
ISBN: 3319641344
Pages: 400
Year: 2017-09-21
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This easy-to-follow textbook provides an exercise-driven guide to the use of the Discrete Event Systems Specification (DEVS) simulation modeling formalism and the System Entity Structure (SES) simulation model ontology supported with the latest advances in software architecture and design principles, methods, and tools for building and testing virtual Systems of Systems (SoS). The book examines a wide variety of SoS problems, ranging from cloud computing systems to biological systems in agricultural food crops. This enhanced and expanded second edition also features a new chapter on DEVS support for Markov modeling and simulation. Topics and features: provides an extensive set of exercises throughout the text to reinforce the concepts and encourage use of the tools, supported by introduction and summary sections; discusses how the SoS concept and supporting virtual build and test environments can overcome the limitations of current approaches; offers a step-by-step introduction to the DEVS concepts and modeling environment features required to build sophisticated SoS models; describes the capabilities and use of the tools CoSMoS/DEVS-Suite, Virtual Laboratory Environment, and MS4 MeTM; reviews a range of diverse applications, from the development of new satellite design and launch technologies, to surveillance and control in animal epidemiology; examines software/hardware co-design for SoS, and activity concepts that bridge information-level requirements and energy consumption in the implementation; demonstrates how the DEVS formalism supports Markov modeling within an advanced modeling and simulation environment (NEW). This accessible and hands-on textbook/reference provides invaluable practical guidance for graduate students interested in simulation software development and cyber-systems engineering design, as well as for practitioners in these, and related areas.
Network Models in Economics and Finance
Author: Valery A. Kalyagin, Panos M. Pardalos, Themistocles M. Rassias
Publisher: Springer
ISBN: 3319096834
Pages: 295
Year: 2014-09-23
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Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.
Complex Systems in Finance and Econometrics
Author: Robert A. Meyers
Publisher: Springer Science & Business Media
ISBN: 1441977007
Pages: 406
Year: 2010-11-03
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"This book consists of selections from the Encyclopedia of complexity and systems science edited by Robert A. Myers"--T.p. verso.
The Knowledge-based Economy
Author: Loet Leydesdorff
Publisher: Universal-Publishers
ISBN: 1581129378
Pages: 385
Year: 2006
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"Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK ________________________________________ "This book is a ground-breaking collection of theory and techniques to help understand the internal dynamics of the modern knowledge-based economy, including issues such as stability, anticipation, and interactions amongst components. The combination of theory, measurement, and modelling gives the necessary power with which to address the complexity of modern networked social systems. Each on its own would partly illuminate an innovation system, but the combination sheds a far brighter light." Mike Thelwall Information Science, University of Wolverhampton, UK ________________________________________ "The sociologist Niklas Luhmann is considered one of the few social scientists possibly able to explain a decisive event once it has happened. In this book, Loet Leydesdorff answers the challenge to take Luhmann's analysis one step further by introducing anticipation into the theory. This book provides a fascinating exploration of the use of recursion and incursion to model social processes." Dirk Baecker Sociology, Universitat Witten/Herdecke, Germany ________________________________________ How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models."
Mathematical Methods and Models for Economists
Author: Angel de la Fuente
Publisher: Cambridge University Press
ISBN: 0521585295
Pages: 835
Year: 2000-01-28
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A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.
Community Based System Dynamics
Author: Peter Hovmand
Publisher: Springer Science & Business Media
ISBN: 1461487633
Pages: 104
Year: 2013-11-09
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Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.
Working with Dynamic Crop Models
Author: Daniel Wallach, David Makowski, James W. Jones, Francois Brun
Publisher: Academic Press
ISBN: 0444594469
Pages: 504
Year: 2013-11-25
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This second edition of Working with Dynamic Crop Models is meant for self-learning by researchers or for use in graduate level courses devoted to methods for working with dynamic models in crop, agricultural, and related sciences. Each chapter focuses on a particular topic and includes an introduction, a detailed explanation of the available methods, applications of the methods to one or two simple models that are followed throughout the book, real-life examples of the methods from literature, and finally a section detailing implementation of the methods using the R programming language. The consistent use of R makes this book immediately and directly applicable to scientists seeking to develop models quickly and effectively, and the selected examples ensure broad appeal to scientists in various disciplines. New to this edition: 50% new content – 100% reviewed and updated Clearly explains practical application of the methods presented, including R language examples Presents real-life examples of core crop modeling methods, and ones that are translatable to dynamic system models in other fields
Money and Macrodynamics: Alfred Eichner and Post-Keynesian Economics
Author: Marc Lavoie, Louis-Philippe Rochon, Mario Seccareccia
Publisher: Routledge
ISBN: 1317464478
Pages: 197
Year: 2015-03-26
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Alfred Eichner's pioneering contributions to post-Keynesian econmics offered significant insights on the way modern economies and institutions actually work. Published in 1987, his "Macrodynamics of Advanced Market Economies" contains rich chapters on dynamics and growth, investment, finance and income distribution, a timely chapter on the State and fiscal policy, and two analytical chapters on endogenous money that are years ahead of their time. Featuring chapters by many of Eichner's disciples, this book celebrates his rich contributions to post-Keynesian economics, and demonstrates that his work is in many ways as valid today as it was over two decades ago.
Networks, Topology and Dynamics
Author: Ahmad K. Naimzada, Silvana Stefani, anna torriero
Publisher: Springer Science & Business Media
ISBN: 3540684093
Pages: 292
Year: 2008-11-14
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There is convergent consensus among scientists that many social, economic and ?nancial phenomena can be described by a network of agents and their inter- tions. Surprisingly, even though the application ?elds are quite different, those n- works often show a common behaviour. Thus, their topological properties can give useful insights on how the network is structured, which are the most “important” nodes/agents, how the network reacts to new arrivals. Moreover the network, once included into a dynamic context, helps to model many phenomena. Among the t- ics in which topology and dynamics are the essential tools, we will focus on the diffusion of technologies and fads, the rise of industrial districts, the evolution of ?nancial markets, cooperation and competition, information ?ows, centrality and prestige. The volume, including recent contributions to the ?eld of network modelling, is based on the communications presented at NET 2006 (Verbania, Italy) and NET 2007 (Urbino, Italy); offers a wide range of recent advances, both theoretical and methodological, that will interest academics as well as practitioners. Theory and applications are nicely integrated: theoretical papers deal with graph theory, game theory, coalitions, dynamics, consumer behavior, segregation models and new contributions to the above mentioned area. The applications cover a wide range: airline transportation, ?nancial markets, work team organization, labour and credit market.
A New Economics for Modern Dynamic Economies
Author: Angelo Fusari
Publisher: Taylor & Francis
ISBN: 1315459124
Pages: 294
Year: 2016-10-04
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It is becoming increasingly clear that a new economics is required for investigating modern dynamic economies and the coming social world. Important features of those economies, such as innovation, uncertainty and entrepreneurship, are usually considered capitalist features. This may have been true historically, but this book argues that the contrary will be true for the future: the full and efficient operation of those supposed capitalist features will increasingly require the overcoming of capitalist civilization. In this book, Angelo Fusari constructs a theoretical framework for the interpretation and management of modern dynamic economies which demonstrates that institutional transformations are essential if we are to move beyond the current consumer-capitalist age and the age of the domination of financial capital. A New Economics for Modern Dynamic Economies opens with a consideration of the basic aspects of modern dynamic economies and proceeds to develop a representation of the whole economic system centred on the interrelationships between entrepreneurship, innovation and radical uncertainty in a ‘dynamic competition’ process. This model provides an explanation of business cycles that largely differs from current explanations as it derives from the notion of dynamic competition. The book is then extended from the sectoral to the micro level and then to the level of the firm. The second half of the book is concerned with operational problems and in particular with the integration of this analysis of cycles with the notion of historical phases of development. The final chapter explores the route of the transition from capitalism to a new economic and social order – a transition of vital importance, both for the contemporary world and for the coming world. This volume is of great interest to those who study political economy, macroeconomics and economic theory and philosophy. The book shows the possibility of a scientific explanation of important ethical principles as indispensable to the organizational efficiency of the social system: for instance, the necessity and the way to conciliate productive efficiency, social justice and individual freedom.
Agent-Based and Individual-Based Modeling
Author: Steven F. Railsback, Volker Grimm
Publisher: Princeton University Press
ISBN: 0691136742
Pages: 329
Year: 2011-11-06
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Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Provides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogo Filled with examples and exercises, with updates and supplementary materials at Designed for students and researchers across the biological and social sciences Written by leading practitioners Leading universities that have adopted this book include: Amherst College Brigham Young University Carnegie Mellon University Cornell University Miami University Northwestern University Old Dominion University Portland State University Rhodes College Susquehanna University University College, Dublin University of Arizona University of British Columbia University of Michigan University of South Florida University of Texas at Austin University of Virginia